WO2002014894A1

WO2002014894A1 - Method and device for determining position data of moving objects, for evaluating events and/or for determining the relations between moving objects

Info

Publication number: WO2002014894A1
Application number: PCT/EP2001/009300
Authority: WO
Inventors: Christoph BÜCH
Original assignee: Büch Multimedia Kg
Priority date: 2000-08-11
Filing date: 2001-08-10
Publication date: 2002-02-21
Also published as: DE10039384A1

Abstract

The invention relates to a method for determining position data of moving objects A, B, C for evaluating events and/or the relations between moving objects A, B, C. The invention involves the following steps: assigning an identifier to each object A, B, C; arranging a sensor (1) on each object A, B, C whose signals contain the identifier information; providing a radio system (2) for picking up the emitter signals; determining the position data of objects A, B, C from the received emitter signals; evaluating the position data for determining events, and; evaluating the position data for determining the relations between objects A, B, C.

Description

Method and device for determining position data of moving objects, for evaluating events and / or for

Determination of the relations between moving objects

The invention relates to a method and a device for determining position data of moving objects, for evaluating events and / or for determining the relations between moving objects, an automated evaluation of position data of at least two moving objects being realized and also relations between these objects can be taken into account.

In the sports field, for example at a football game, a situation can be analyzed, for example, by displaying the current position of the players on the screen, the commentator manually tracing their movements and marking special events. Such a manual evaluation requires a lot of effort and cannot be done continuously for the entire duration of the game. It is therefore only possible in game breaks. Also, the viewer cannot decide for himself whether he is interested in analyzing a situation, or maybe would rather follow the course of the game.

A similar problem as with football arises in the reporting of many other sports such as Motor race. There are already first approaches to offer the viewer several camera perspectives on the television screen and to leave the selection of the desired perspective to the viewer.

However, methods for automatically evaluating events on the racetrack are not yet known.

The object of the invention is to enable a method and a device for improving the automatic evaluation of position data of moving objects. In particular, the evaluation of events and / or the relations between at least two moving objects is realized.

According to the invention, a method for automatically determining position data of moving objects, for evaluating events and / or for evaluating the relationship between at least two moving objects can contain at least one of the following steps.

First, an identifier can be assigned to each movable object. This identifier serves to clearly differentiate between the objects. A transmitter can then be arranged on each individual object. An object can be, for example, a player in a sporting event, a vehicle in a race or a ball in a ball game.

The signals of the transmitters arranged on the objects can contain the respective identification information of the assigned object. The identification information can be, for example, the use of different frequencies for the individual transmitters. Various well-known modulation methods can also be used to impress the identification information onto a carrier frequency of the transmitter. The transmitter signals can be received by the provision of a radio system. Various high-frequency and multi-frequency systems are conceivable here, which can be installed locally in the vicinity of the moving objects.

The position data of the objects can be determined from the received transmitter signals. Distances and angular orientations of the objects to the receiving devices of the radio system can be used here. By using trigonometric relationships, the positions of the moving objects can be easily determined at any time. The determination of the position data of the objects from the received transmitter signals enables a determination of the location and an identification of the moving objects.

The occurrence of events can be determined by evaluating the position data. An event occurs, for example, when an object is in a predetermined space at a certain point in time or makes a predetermined change in position. Of course, further definitions for events are also possible. Events arise from the movements of the objects and are used for the automatic evaluation of more complex processes. By determining events, you can react flexibly to the occurrence of certain situations. Events can be processed or displayed.

By evaluating position data, relationships between the objects can still be determined. Relationships between objects can represent, for example, spatial relationships between the objects. Other relations, such as picking up an object by another object or guiding or checking an object by another object, are conceivable. Relations serve to describe relationships between objects and enable the analysis of complex situations.

The position data and / or events and / or the relations between the objects can be displayed on an output unit. The output unit can be an analog or digital television set, a computer Mobilfαnkendgerät or another suitable possibly portable device. At least one output unit is required for the display; any number of output units are possible, for example, when using a television system. The representation of the position data and / or of events and / or the relations between the objects on at least one output unit enables simultaneous viewing of the displayed data by different people. The display can take place simultaneously with the movement of the objects or with a time delay.

Position data and / or events and / or relations between the objects can also be stored on a data carrier. The storage can take place, for example, on a CD-ROM, a magnetic tape, a floppy disk or a hard disk. Storing the position data and / or events and / or the relationships between the objects on a data carrier enables the creation of a data archive. A further evaluation or presentation of the data can take place at a later point in time.

The position data can be determined and evaluated continuously. The positions of the objects can be determined at any time and events and / or the relationships between the objects can be evaluated. There may be a variation in time of the position data, the occurrence of ^events' and / or be created by relations between objects. The continuous determination and evaluation of the position data enables the object movements to be tracked and the course of time to be analyzed.

The position data of the moving objects can be determined over a certain period of time. The time period can be of a predetermined duration, such as a game duration, or it can result dynamically from the occurrence of events. The specific period can be, for example, a lap in a race, the entire race or the duration of a departure. The time until a certain score is reached can also serve as a period for determining the position data. The limitation of the time period for determining and evaluating the position data of the moving objects enables complete archiving of the data for this time cavities. Archives can be created for individual games, events or an entire season.

The determination of the position data of the moving objects, the evaluation of events and / or the relations between the objects can take place for a delimited spatial area. A delimited spatial area can be a playing field, a track, a racetrack or a piste. The limitation of the spatial area for the determination and evaluation of the position data of the moving objects leads to a significant simplification of the effort in determining the position. The accuracy of the determined position data can also be increased in this way.

Two-dimensional or three-dimensional position data of the objects can be used. The position data of the objects can contain the speeds of the objects. The speeds can be the first and second time derivatives of the spatial positions of the objects. The use of two- or three-dimensional position data of the objects allows a complete detection of the spatial position of the objects. The movement behavior of the objects can be comprehensively analyzed by adding the speeds and / or the accelerations of the objects.

An event can be determined by the occurrence of an object at a predetermined position. For example, an object can be triggered by the presence of an object in a predetermined spatial area. An event can also be determined by a specific change in the position of an object. For example, an event can be triggered when a line is crossed or an object enters a predetermined space. Further definitions for the occurrence of an event are conceivable. Due to the flexible concept of events, the movement behavior of the objects can be comprehensively analyzed. By triggering an event by changing the position of an object, it is easy to react to situations such as an object crossing a line. The exact position of the object after the change in position is not of great concern here. For example, the exact position of a racing car after driving through the Finish line of no importance. In this case, the only important thing is the process of crossing the finish line, which leads to the triggering of an event.

Relations between objects can represent spatial relationships between the objects. These can arise, for example, from falling below a certain distance between the objects. Other spatial relationships between objects are, for example, the linking or joining of objects, the picking up of an object by another object or the guiding or controlling of an object by another object. A possible relation between objects is, for example, the picking up of a player's ball. The player may lead the ball in a ball game for a longer period of time until it passes it on to another player or loses it.

Other non-spatial relationships between objects can also be used as relationships between the objects.

It may also be necessary for there to be a spatial relationship between the objects for a predetermined time before this represents a relationship between the objects.

Due to the existence of time restrictions for the occurrence of a relation, long-term relationships between the objects can be distinguished from short-term or random relationships, for example in which the objects are not linked. It can be achieved that there are no relations between objects that move past each other.

In this way, spatial relationships between objects can be recorded and further processed. Objects whose spatial distance from each other is small can be viewed as composite objects and processed further. The picking up of an object by another object, such as loading a container onto a ship, can be recorded in this way and possibly also lead to the occurrence of an event.

The moving objects can be arranged in groups. The objects in a group can form a logical unit. Groups can, for example Represent teams or military associations. When evaluating the relationships between the objects, the group affiliations of the objects can be taken into account. This can happen, for example, when objects are exchanged between group members. Such an exchange of an object is, for example, the delivery of the ball from one player to another team. By arranging the objects in groups, properties of several objects can be recorded simultaneously. Further sub-groups can also be formed within groups. For example, the location of such a subgroup can be determined from the position data of the associated objects.

Furthermore, composite events can be determined by a predetermined sequence of events and relations between objects. A composite event represents, for example, the exchange of an object between two further objects. The object to be exchanged is initially related to a first object. At a certain point in time, the object to be exchanged is transferred from the first object to a second object. From this point on, there is a relation between the object to be exchanged and the second object. An example of such an exchange of an object is the ball drop in a ball game.

Another example of a composite event is a shot on goal. First, the ball is owned by a player. This corresponds to a relation between the two objects ball and player. After a shot by the player, the ball crosses the goal line, resulting in the occurrence of a certain event. Compound events can be used to describe and process complex situations. In addition, information about composite events can be displayed on the output unit or stored on a data carrier.

Furthermore, an analysis of the temporal course of position data, events and / or relations between the objects can take place. Here, for example, the average location or the speed of objects or groups of objects can be determined. An analysis of the temporal The course of the position data, for example, the entire distance traveled by an object can be determined in a specific period of time.

The course of time can be analyzed using statistical methods. These can include summation, difference formation and / or averaging over different time periods, for example. A time difference between the occurrence of two events can also be determined. This can be used, for example, to determine the lead of a runner or racer. By analyzing the time course, a lot of interesting data can be obtained for further processing or presentation.

Furthermore, the situation can be analyzed at certain times by evaluating the position data, events and / or relationships between objects. In such a situation analysis, for example, the positions of objects, distances between objects, angles, directions and spatial relationships between objects can be evaluated. Such an analysis can be triggered by the occurrence of an event. For example, a goal shot in a soccer game can analyze the positions of all players. Distances, possible shooting angles and directions can be evaluated and displayed.

The results of analyzes can be used to make temporal predictions about position data, events and / or relations between objects. These can be provided with probabilities of the occurrence of the predicted positions, events and / or relations. Predictions can be made about the direction of movement of objects and the occurrence of events. For example, based on the average ball holding time of a player, a prediction with probability of a possible ball delivery can be made. A possible overtaking time in a race or run can also be predicted.

The results of an analysis of the temporal course of position data, events and / or relations between the objects can be displayed on an output unit or stored on a data carrier. Situation analyzes can also be shown on the output unit at specific times or saved on a data carrier. Furthermore, the results of temporal predictions and / or probabilities of the occurrence of position data, events and / or relations between objects can be displayed or saved.

The position data can be determined by radio direction finding. At least two receivers can determine the respective angular orientation and / or distance of the transmitters arranged on the objects. In this way, the positions of the moving objects can be determined. The accuracy of the method can be improved by using more than two receivers. When using three-dimensional position data, at least three recipients can determine the position of the objects. The position can be determined using trigonometric relationships.

The position data can also be determined by GPS systems arranged on the objects. Each object can have its own GPS system, which can determine the position of the object. The position data determined in this way can be transmitted to the evaluation device by means of the transmitters arranged on the objects and the radio system. The radio system can be used to record the transmitter signals that contain the respective position data of the objects. The position data of the objects can be determined from the received transmitter signals. By using the GPS systems, the positions of the objects can be determined independently of each other. A radio bearing is not necessary.

To display the position data and / or events and / or the relationships between the objects and / or information about composite events and / or analysis results, a television set can be used as an output unit. The television signal can be transmitted digitally or analogously. The data intended for display can be transmitted together with or independently of the regular television program. The broadcast can be done live. The position data and / or events and / or the relationships between the objects and / or information about composite events and / or analysis results can be displayed on the output unit via the Internet. A conventional computer can be used as an output unit. Data can be transported to the output unit using TCP / IP. The output unit can be controlled using a conventional Internet browser. The small amount of data to be transmitted makes it possible to track the positions of moving objects, the evaluation of events and / or relations between moving objects live. For example, sporting events can be followed on the Internet. In addition to the movements of the players, the evaluation of events and the results of analyzes can also be observed.

To display the position data and / or events and / or the relationships between the objects and / or information about composite events and / or analysis results, a mobile radio terminal can be used as an output unit. The mobile radio terminal can have a screen that can be used to display the data. Due to the size of the screen, there may be a limited display. The transmission of the data to the mobile radio terminal can use WAP technology. One advantage of using a mobile radio terminal as an output unit is mobility. A user can track the movement of the objects from anywhere and access analyzes about them.

Additional object-related and / or editorial information can be stored on the data carrier or made available for display. Background information, video, audio and visual material as well as comments, opinions and comments can be added to the position data and analysis results. This additional information can be obtained from archives and edited editorially. For example, player photos, stadium images, video sequences of events can be used for further information and entertainment of the user.

Furthermore, an input unit can be present with which the user can interactively display various data intended for display on the display. can configure the unit. The user can select the desired display himself. He can decide whether to follow the movement of the objects or to view an analysis of an event. The user can request analysis of a time history or select time predictions about events. The input unit can consist of a conventional computer together with the output unit. Special playback devices for displaying the data or game consoles stored on the data carrier are also possible. The user can select specific events directly or use a search function to access searched events.

The position data and / or events and / or the relationships between the objects and / or information about composite events and / or analysis results can be represented in a two- or three-dimensional representation. Both individual situations and temporal courses can be shown. The presentation of temporal courses can be done in single steps or animated by the sequence of a sequence of presentations. Switching between the different display modes is possible at any time. In this way, it is possible to switch between a two-dimensional and a three-dimensional representation of a course of movement. Analysis results, temporal forecasts or information about compound events can also be requested at any time. For example, information about average speeds of the participants can be queried during a car race. Additional object-related information can also be called up. For example, the goal balance of a soccer player can be called up for one season during a game.

Different perspectives can be selected to display the position data and / or events and / or the relationships between objects and / or information about composite events and / or analysis results. The movement of the objects can be viewed from different positions. The action on the field can be viewed from the perspective of the individual players or from a perspective view. The same event can also be viewed differently from different perspectives. When the position data and / or events and / or the relationships between objects and / or information about composite events and / or analysis results are displayed, the identifiers of the objects can be displayed. For example, names or numbers of players, vehicles or planes can be displayed. Furthermore, the identity of the objects can be displayed by displaying additional information relating to the object, for example by means of assigned images. Soccer players can be portrayed on the field, for example, by portraits. There are many other ways to represent objects with associated pictures or symbols.

When displaying analysis results, spatial areas can be colored. For example, the middle location of an object can be displayed in color. Of course, the entire range of motion of an object and / or of several objects or groups of objects - e.g. by players of a team or by defenders (sub-group of the object group) - for example, colored during a football game. When displaying position data, the temporal course of object movements can also be displayed. The display of the temporal course of object movements serves, for example, to illustrate what is happening in the game.

At this point it should be noted that the method for determining position data of moving objects, for evaluating events and / or the relations between moving objects is possible for any sport. It is conceivable to use the method for team sports and individual sports, both with and without a ball. The method can also be used to monitor a fleet or air traffic. It can be used for any land, air and water vehicle.

According to the invention, a method for determining position data of moving objects, for evaluating events and / or for determining the relations between moving objects can also be provided, which contains at least one of the following steps:

- Acquisition of image data of objects A, B, C,

Determination of position data of objects A, B, C from the image data, - Evaluation of the position data to determine events, and

- Evaluation of the position data to determine the relations between objects A, B, C.

According to the invention, a device for automatically determining position data of moving objects, for evaluating events and / or for determining the relations between moving objects can also be provided.

Furthermore, it should be noted that the aforementioned steps of the method or features of the device, in their combination, represent one possibility among many, wherein a different combination of the method steps or the device features and their modification are also conceivable. The method can be used for football, hockey, handball, tennis, golf, squash, car racing, ski racing, cross-country skiing, running, cycling and athletics, for example.

Based on the determination of the position data of moving objects, the method enables flexible and automatic evaluation of events and / or the relations between the objects. With the flexible definition of events, the occurrence of an object at a given position or the change in the position of an object can be analyzed. The evaluated position data can contain two- or three-dimensional position information of the objects and their speeds. It is therefore possible to record the movements of the objects completely. The relationships between the objects are determined by relations between the objects. These relations enable a complex situation to be represented, such as picking up an object or passing a ball through a player. Compound events enable complex processes to be represented by a predetermined sequence of events and relations. By arranging objects in groups, situations in which teams pursue a task together can be easily recorded. Events, relations and groups form the basis for the diverse analysis options of the process. Temporal courses and certain situations can be analyzed and based on the analysis results, temporal forecasts together with truth probabilities of their occurrence are possible. The method enables many new ways of looking at and evaluating game progress, fleet movements or the like.

The following description of exemplary embodiments is carried out using the attached schematic figures and flow diagrams as examples. Show it:

Figure 1 is a schematic representation of the structure of the invention.

FIG. 2 is a flowchart illustrating the individual steps of the method;

3 shows a representation of objects on a playing field;

4 shows objects on a circuit;

5 shows a representation of a composite event using the example of a double pass;

6 shows an illustration of a situation analysis;

Fig. 7 shows a possible output.

Fig. 1 shows schematically an example of the structure of the invention. For the sake of simplicity, only one object A is shown. Object A is provided with a transmitter 1. The transmitter 1 sends signals that contain identification information for identifying the object A. A unique identifier was previously assigned to each object. The identifier can consist of a different transmission frequency of the transmitter 1 or can be impressed on the carrier frequency of the transmitter using customary modulation methods. In this example, the radio system 2 consists of two receiving devices which serve to receive the transmitter signals. Based on the received transmitter signals, the receiving devices 2 determine the angular orientation of the object A to the normal direction of the receiving devices 2. The position of the transmitter 1 and thus of the assigned object A can be determined on the basis of the two angles α1 and 2 and the distance d between the two receiving devices 2. The position (X, Y) is calculated using trigonometric relationships. For example: , tanαi x = d- tanαi + tan 0: 2

y = d- 1 tanαi + tan «2

As an alternative to determining two angular orientations, determined distances between receiving devices 2 and transmitter 1 can also be used. An improvement in the accuracy of the method can be achieved by using more receiving devices 2. At least three receiving devices 2 are necessary for a three-dimensional determination of the position of the object A.

The position data of the moving objects from the received transmitter signals is determined in the evaluation device 3. The evaluation device 3 also evaluates the position data in order to determine the occurrence of events. An event represents, for example, the presence of an object in a predetermined space or area. Furthermore, the position data are evaluated in the evaluation device 3 in order to determine the relations between objects.

The determined position data, events and / or relations between objects are collected in a memory area 8 of the evaluation device 3 and can be stored on a data carrier 4 or output on an output unit 5. An input unit 6 is optionally available with which the user can select certain representations and configure the system.

The data transmission connection 7 between evaluation device 3 and output device 5 or input device 6 can take place via the Internet. In this case, the data transport is handled via the TCP / IP protocol. The data transmission connection 7 can be used to distribute digital television picture data via the Internet, as a result of which this can then be displayed on the output device 5. The output device 5 and the input device 6 can be realized by a conventional computer system, a laptop, a portable PDA device or handheld device. The use of a mobile radio system to implement data transmission 7 is also possible. In this case, a mobile radio terminal is used as the input and output unit. The data can be transmitted using the WAP standard, for example.

As an alternative to the radio direction finding described above for determining the object positions, a GPS system can also be used. For this purpose, a GPS system that determines the position of the object is arranged on each object. The position data determined in this way are transmitted to the receiving devices 2 via the radio transmitter 1. The evaluation device 3 collects the transmitted position data of the objects and evaluates them.

Another way of disseminating the position data, events or relations between objects determined by the evaluation device 3 is to use a digital and / or analog television transmission system. The data intended for display are either added to a television signal or transmitted separately. For example, the teletext system can be used to transmit position data, evaluate events or relations. In this way, additional information can be added to the usual transmission of image and sound data. This additional information can be displayed on the television screen using a special decoder. The data intended for display can also be transmitted using a digital television decoder (e.g. D-Box).

FIG. 2 shows a flowchart which shows the individual steps of the method for determining position data of moving objects, for evaluating events and / or the relations between moving objects. In step 100, the position data of the objects are determined from the received transmitter signals. The position P (A, t) of the object A is stored together with the determined speed of the object P '(A, t) in a memory area 8 of the evaluation device 3. The position data of all objects are collected in this memory area 8. The position data can be either two-dimensional or three-dimensional. In step 200, the position data are evaluated and the occurrence of events is determined. Events can be defined, for example, by the occurrence of an object at a predefined position or by a predefined change in the position of an object.

In step 300, the position data are evaluated and relations between objects are determined. Relationships can arise, for example, from a spatial relationship between objects. A spatial relationship can arise, for example, from falling below a predetermined distance between the objects. There are also time restrictions for the creation of relationships between objects. This means that e.g. there must be a spatial relationship between objects for a predetermined time before there is a relation. The determined relations are collected together with the position data and events in the memory area 8 of the evaluation device 3.

In step 400, the occurrence of composite events is determined. For this purpose, predetermined sequences of events and relations between objects in the memory area 8 are searched. If such a sequence can be found in the memory area 8 of the evaluation device 3, a composite event is recognized and entered in the memory area 8.

In step 500, if necessary, an analysis of the temporal course of position data, events and / or relations between the objects is carried out. Statistical methods can be used that determine, for example, an average object position or speeds of objects. The time differences of certain events can also be evaluated. The respective analyzes to be carried out are determined by the users of the system. Many different analysis methods are possible.

In step 600, a situation analysis of the position data, of events and / or of relationships between objects is carried out. A situation analysis can be requested by a user, for example, or triggered automatically by events, such as a goal shot. In a situation On analysis, for example, the positions, speeds and distances of objects are evaluated. In addition, angles, spatial relationships and directions can be taken into account.

In step 700, the analysis results can be used to make temporal predictions together with probabilities for the occurrence of events in the future. Such predictions can be requested by the user, for example, for information _. about a possible overtaking time in a car race.

In step 800, the collected expenses for position data, analysis results, forecasts and any additional information that may be requested are displayed. For this purpose, the user has the option of using an input device 6 to configure the various representations and to request further information. For example, he can select one of many analysis methods or have predictions about what will happen next.

The sequence shown can be operated during the course of a sporting event and, after a run, jumps back to step 100, where a new acquisition and evaluation cycle begins.

3 shows a representation of various objects on a playing field. The objects are arranged in three groups. AI, A2 and A3 belong to group A and B1, B2 and B3 belong to group B. These two groups represent the teams in this simplified example. Object C represents the ball and is assigned to a separate group. The arrows represent the movement of the objects AI and BL. Player AI is just about to cross the center line of the field, which can trigger an event. This event is recognized by the evaluation device 3, registered and further processed. For example, player A2 is in possession of the ball. This is expressed by a relation R (A2, C, t) between the objects A2 and C. The relation arises from the close spatial relationship between the two objects. The hatched areas in Fig. 3 show the principal locations of Tormänner A3 and B3. The main staging be by analysis of the time profile of the position data P (A3, t) and P (B3 t) ^■ objects A3 and determines B3. By selecting the appropriate analysis functions, the corresponding spatial areas are colored in the display.

Fig. 4 shows a schematic representation of the arrangement of objects on a circuit. Runner A has just crossed the finish line. This leads to a corresponding event and an automatic analysis of the present situation. The distances dB of rotor B and dC of rotor C to the finish line are determined automatically. Further analyzes of the present situation can easily be added in the process. The analysis shown in this example can of course also be used for car races or similar races.

5 schematically shows the sequence of different events and relations for determining a composite event. This example shows the sequence of relations between the objects for a double pass in football.

At the time tl the player AI is in possession of the ball. This is shown by the relation R (Aι, C, tl) between objects AI and C. Object C again represents the game ball. At a later point in time t2, the ball was delivered from AI to A2. Now there is a relation R (A2, C, t2) between A2 and C, which expresses the spatial proximity between the two objects. At time t3, AI is again in possession of the ball. There is a new relation R (A i, C, t3) between objects AI and C.

The complex process of a double pass can be described simply by a sequence of relations between objects. In this example, the sequence of the relation for the description of a double pass is: R (Al, C, tl), R (A2, C, t2), R (Al, C, t3).

6 shows an automatic situation analysis as can be carried out on the basis of an arrangement of objects at a specific point in time. The Player AI is in possession of the ball. Players Bl and B2 of the opposing team are in the positions shown. Another player from team A is modeled by object A2. The main direction of play for team A is indicated by the arrow. An automatic evaluation of the object positions of the group memberships and the relations between the objects results in a division of the playing field into the sectors shown. In this example, a possible ball delivery by the player AI is analyzed. It is unlikely that the ball will be delivered in the direction of sectors III or V in the direction of the opposing players B1 or B2. It is also not very likely that the ball will be returned to Sector I against the main direction of play. The most likely direction of movement for object C is in sector IV in the direction of teammate A2. The result of this situation analysis can be done, for example, by coloring the different sectors.

The method offers many other analysis options for different situations. Analyzes can be triggered automatically, for example by a shot on goal, or requested by a user at any time. When displaying the analysis results, certain spatial areas can be marked in color.

As in the previous example, the group membership of objects can be taken into account in analyzes. Because AI and A2 belong to the same group, playing the ball from AI to A2 is much more likely than playing the ball from AI to Bl or B2. By forming subgroups, more refined analysis options can be created. For example, the defense area of a team can determine the area covered.

7 shows a possible representation of a temporal course of an object movement. The object, in this case a racing car, is displayed by displaying an associated image. The time course of the movement of the vehicle when passing through the curve can be followed exactly. For example, a comparison can be made with an ideal line. , The user can change the display of moving objects by selecting suitable functions. Instead of the image of the racing car, for example, he can select an image of the driver. The method also enables the provision of additional information that the user can call up when required. For example, information about the route or the technical data of the vehicle can be called up.

The aforementioned invention provides the user with many different representations of the position data and / or of events and / or of relations between objects. The representations can be made in two or three dimensions and from different angles.

Based on stored data, analyzes can be carried out at a later time or a sporting event can be viewed from a different perspective. The representation can be done by individual images or in the form of animated image sequences. The user can navigate back and forth through the timeline of object movements.

Claims

claims

1. Method for determining position data of moving objects, for evaluating events and / or for determining the relations between moving objects, with the following steps:

- assignment of an identifier to each object A, B, C,

Arrangement of a transmitter (1) on each object A, B, C, the signals of which contain the identification information,

- Providing a radio system (2) for receiving the transmitter signals,

Determination of the position data of objects A, B, C from the received transmitter signals,

- Evaluation of the position data to determine events, and

2. The method according to claim 1, wherein the position data and / or events and / or the relationships between objects A, B, C are displayed on at least one output unit (5).

3. The method according to claim 1, wherein the position data and / or events and / or the relations between objects A, B, C are stored on a data carrier (4).

4. The method according to at least one of claims 1 to 3, wherein the determination and evaluation of the position data of the movable objects A, B, C is carried out continuously.

5. The method according to at least one of claims 1 to 4, wherein the determination and evaluation of the position data of the movable objects A, B, C takes place over a predetermined period of time.

6. The method according to at least one of claims 1 to 5, wherein the determination and evaluation of the position data of the movable objects A, B, C is carried out for a delimited spatial area.

7. The method according to at least one of claims 1 to 6, wherein two-dimensional or three-dimensional position data of the objects A, B, C are used.

8. The method according to at least one of claims 1 to 7, wherein the position data of objects A, B, C contain the speeds of objects A, B, C.

9. The method according to at least one of claims 1 to 8, wherein an event is determined by the occurrence of an object A, B, C at a predetermined position.

10. The method according to at least one of claims 1 to 8, wherein an event is determined by a predetermined change in the position of an object A, B, C.

11. The method according to at least one of claims 1 to 10, wherein the relations between the objects A, B, C represent spatial relationships that are determined by falling below a predetermined distance between the objects A, B, C.

12. The method of claim 11, wherein the spatial relationships between the objects A, B, C must be present for a predetermined time.

13. The method according to at least one of claims 1 to 12, wherein the objects A, B, C are arranged in groups.

14. The method according to claim 13, wherein the evaluation of the relations between the objects takes into account the group membership of the objects A, B, C.

15. The method according to at least one of claims 1 to 14, wherein composite events are determined by a predetermined sequence of events and relations between objects A, B, C.

16. The method according to claim 15, wherein information about composite events is displayed on the output unit (5) or stored on the data carrier (4).

17. The method according to at least one of claims 1 to 16, wherein an analysis of the temporal course of position data, events and / or relations between the objects A, B, C takes place.

18. The method according to claim 17, wherein the analysis of the temporal course of position data, events and / or relations between objects A, B, C is carried out by statistical methods which contain at least one summation, difference formation and / or averaging over different time periods.

19. The method according to at least one of claims 1 to 18, wherein an analysis of the position data, of events and / or of relationships between objects A, B, C takes place at certain times.

20. The method according to claim 19, wherein the distances between the objects A, B, C and / or predetermined directions are taken into account in the analysis.

21. The method according to at least one of claims 19 or 20, wherein the analysis is used to make temporal predictions and / or probabilities of the occurrence of position data, events and / or relations between objects A, B, C.

22. The method according to at least one of claims 17 to 21, wherein the analysis results, temporal predictions and / or probabilities are displayed on the output unit or stored on the data carrier (4).

23. The method according to at least one of claims 1 to 22, wherein the position data is determined by radio direction finding, in which at least two receivers determine the respective angular orientation and / or distance of the transmitters (1) arranged on objects A, B, C.

24. The method according to at least one of claims 1 to 22, wherein the position data is determined by GPS systems arranged on objects A, B, C, and the position data by means of the transmitters arranged on objects A, B, C and the radio system be transmitted.

25. The method according to at least one of claims 1 to 24, wherein to represent the position data and / or events and / or the relationships between objects A, B, C and / or information about composite events and / or analysis results, a digital and / or analog television set is used as the output unit (5).

26. The method according to at least one of claims 1 to 24, wherein the representation of the position data and / or of events and / or the relations between objects A, B, C and / or of information about composite events and / or analysis results on the output unit done over the internet.

27. The method according to at least one of claims 1 to 24, wherein to display the position data and / or events and / or the relationships between objects A, B, C and / or information about composite events and / or analysis results, a mobile radio terminal as Output unit is used.

28. The method according to at least one of claims 1 to 27, wherein object-related and / or editorial additional information is stored on the data carrier or made available for display.

29. The method according to at least one of claims 1 to 28, wherein the user can use an input unit to interactively select the display of various data to be displayed on the output unit.

30. The method according to at least one of claims 1 to 29, wherein a two- or three-dimensional representation of the position data and / or of events and / or the relations between objects A, B, C and / or of information about composite events and / or Analysis results are done.

31. The method according to at least one of claims 1 to 30, wherein for a representation of the position data and / or of events and / or the relations between objects A, B, C and / or of information about composite events and / or analysis results, different perspectives possible are.

32. The method according to at least one of claims 1 to 31, wherein in the representation of the position data and / or events and / or the relations between objects A, B, C and / or information about composite events and / or analysis results, the identifier of the objects is displayed.

33. The method according to claim 32, wherein the identification of objects A, B, C by displaying object-related additional information such as is indicated by associated images.

34. The method according to at least one of claims 22 to 33, wherein spatial regions are colored in the presentation of analysis results.

35. The method according to at least one of claims 4 to 34, wherein the temporal course of object movements is displayed when displaying position data.

36. Method for determining position data of moving objects, for evaluating events and / or for determining the relations between moving objects, with the following steps: - Acquisition of image data of objects A, B, C,

Determination of position data of objects A, B, C from the image data,

- Evaluation of the position data to determine events, and

37. Device for determining position data of moving objects A, B, C, for evaluating events and / or the relations between moving objects A, B, C, with:

Transmitters (1), each of which is arranged on an object A, B, C and whose signals contain identification information which enables an assignment to the object A, B, C,

- A radio system (2) for receiving the transmitter signals, and

- An evaluation device (3), the

determines the position data of objects A, B, C from the received transmitter signals,

- evaluates the position data to determine the occurrence of events, and

- evaluates the position data to determine the relations between objects A, B, C.

38. Device for determining position data of moving objects A, B, C, for evaluating events and / or the relations between moving objects A, B, C, with:

an image recording device for recording image data of objects A, B, C,

- An evaluation device (3), the

the position data of objects A, B, C are determined from the image data,

- evaluates the position data to determine the occurrence of events, and