Application US20180350084

TECHNIQUES FOR OBJECT TRACKING
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US20180350084

1. A method for tracking movements of objects in a sports activity, comprising: (9) (2)

matching video captured by at least one camera with sensory data captured by each of a plurality of tags, wherein each of the at least one camera is deployed in proximity to a monitored area, wherein each of the plurality of tags is disposed on an object of a plurality of monitored objects moving within the monitored area; and

determining, based on the video and sensory data, at least one performance profile for each of the monitored objects, wherein each performance profile is determined based on positions of the respective monitored object moving within the monitored area.

2. The method of claim 1, wherein each of the plurality of tags includes at least one of: an accelerometer, a gyroscope, and a magnetometer. (0)

3. The method of claim 1, wherein each of the plurality of tags does not include a global positioning system (GPS). (0)

4. The method of claim 1, wherein the sensory data describes at least motion of respective monitored object on which at least one of the tags is disposed. (0)

5. The method of claim 1, further comprising: (1) (1)

deterministically tracking positions of each monitored object in the monitored area.

6. The method of claim 5, wherein deterministically tracking positions of each monitored object in the monitored area further comprises: (3) (2)

tracking at least one first position of a tag-less object in the captured video; and

estimating at least one second position of the tag-less object, wherein each second position is estimated for a frame of the captured video in which the tag-less object does not appear, wherein the tag-less object is an object without one of the plurality of tags disposed thereon.

7. The method of claim 6, further comprising: (0) (1)

8. The method of claim 6, further comprising: (0) (1)

9. The method of claim 6, wherein the tag-less object is a ball and the plurality of monitored objects include players participating in the sports activity. (0)

10. The method of claim 1, further comprising: (2) (2)

estimating poses of the monitored objects; and

tracking the positions based on the estimated poses, wherein each estimated pose is any of: a 2-dimensional pose, and a 3-dimensional pose.

11. The method of claim 10, wherein estimating poses of the monitored objects in the captured video further comprises: (0) (2)

12. The method of claim 10, further comprising: (0) (3)

13. The method of claim 1, wherein each performance profile includes at least one performance parameter for one of the plurality of monitored objects participating in the sports activity, wherein the at least one performance parameter of each performance profile includes at least one of: a movement indicator, accumulated distance, and statistics on a predefined set of game events. (1) (0)

15. The method of claim 1, further comprising: (0) (3)

16. The method of claim 1, further comprising: (0) (1)

17. The method of claim 1, further comprising: (3) (1)

21. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising: (0) (2)

22. A system for tracking movements of objects in a sports activity, comprising: (9) (4)

a processing circuitry; and

a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:

match video captured by at least one camera with sensory data captured by each of a plurality of tags, wherein each of the at least one camera is deployed in proximity to a monitored area, wherein each of the plurality of tags is disposed on an object of a plurality of monitored objects moving within the monitored area; and

determine, based on the video and sensory data, at least one performance profile for each of the monitored objects, wherein each performance profile is determined based on positions of the respective monitored object moving within the monitored area.

23. The system of claim 22, wherein each of the plurality of tags includes at least one of: an accelerometer, a gyroscope, and a magnetometer. (0)

24. The system of claim 22, wherein each of the plurality of tags does not include a global positioning system (GPS). (0)

25. The system of claim 22, wherein the sensory data describes at least motion of respective monitored object on which at least one of the tags is disposed. (0)

26. The system of claim 22, wherein the system is further configured to: (1) (1)

deterministically track positions of each monitored object in the monitored area.

27. The system of claim 26, wherein the system is further configured to: (3) (2)

track at least one first position of a tag-less object in the captured video; and

estimate at least one second position of the tag-less object, wherein each second position is estimated for a frame of the captured video in which the tag-less object does not appear, wherein the tag-less object is an object without one of the plurality of tags disposed thereon.

28. The system of claim 27, wherein the system is further configured to: (0) (1)

29. The system of claim 27, wherein the system is further configured to: (0) (1)

30. The system of claim 27, wherein the tag-less object is a ball and the plurality of monitored objects include players participating in the sports activity. (0)

31. The system of claim 22, wherein the system is further configured to: (2) (2)

estimate poses of the monitored objects; and

track the positions based on the estimated poses, wherein each estimated pose is any of: a 2-dimensional pose, and a 3-dimensional pose.

32. The system of claim 31, wherein the system is further configured to: (0) (2)

33. The system of claim 31, wherein the system is further configured to: (0) (3)

34. The system of claim 22, wherein each performance profile includes at least one performance parameter for one of the plurality of monitored objects participating in the sports activity, wherein the at least one performance parameter of each performance profile includes at least one of: a movement indicator, accumulated distance, and statistics on a predefined set of game events. (1) (0)

36. The system of claim 22, wherein the system is further configured to: (0) (3)

37. The system of claim 22, wherein the system is further configured to: (0) (1)

38. The system of claim 22, wherein the system is further configured to: (3) (1)

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Application US20180350084

TECHNIQUES FOR OBJECT TRACKING

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