SYSTEM AND METHOD FOR CORRELATING OBJECTS IN AN EVENT WITH A CAMERA

• US 20080129824A1
• Filed: 05/04/2007
• Published: 06/05/2008
• Est. Priority Date: 05/06/2006
• Status: Abandoned Application

• Current Assignee: Ryan Scott Loveless
• Original Assignee: Ryan Scott Loveless
• Inventors: Loveless, Ryan Scott
• Application Number:
  US11/744,593
• Publication Number:
  US 20080129824A1
• Time in Patent Office: Days
• US Class Current: 348/157
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

According to one embodiment of the invention, a method of correlating objects in an event with a camera comprises determining at least a two-dimensional temporal location of an object. A statistical analysis based upon the at least a two-dimensional temporal location of the object is conducted, yielding semantics of the location of the object in relation to the event. A two-dimensional temporal spatial view of a camera is determined and when the semantics represent an item of interest, at least a portion of the at least a two-dimensional temporal spatial view of the camera is correlated with the at least a two-dimensional temporal location of the object to capture the item of interest.

Claims

1. A system for correlating objects in an event with a camera, the system comprising:

computer readable media such that when executed is operable to;

determine at least a two-dimensional temporal location of an object;

determine at least a two-dimensional temporal spatial view of a camera; and

determine whether the at least a two-dimensional temporal location of the object is correlated with the at least a two-dimensional temporal spatial view of the camera.

2. The system of claim 1, wherein

the at least a two-dimensional temporal location of the object is a three-dimensional temporal location of the object, and

the at least a two-dimensional temporal spatial view of the camera is a three-dimensional temporal spatial view of the camera.

3. The system of claim 1, wherein the computer readable media such that when executed is further operable to:

yield based upon a statistical analysis of the two-dimensional temporal location of the object, semantics of the location of the object in relation to the event; and

when the semantics represent an item of interest, provide instructions to correlate at least a portion of the at least a two-dimensional temporal spatial view of the camera with the at least a two-dimensional temporal location of the object to capture the item of interest.

4. The system of claim 3, wherein the object is a plurality of objects and the yielding by the executed computer readable media is based upon a statistical analysis of the two-dimensional temporal locations of the plurality of objects.

5. The system of claim 3, wherein the yielding by the executed computer readable media is further based upon a pre-defined set of rules corresponding to the event.

6. The system of claim 3, wherein the yielding by the executed computer readable media is further based upon a pre-defined locations of event parameters.

7. The system of claim 3, wherein the instructions to correlate yield a real-time automatic positioning of the camera.

8. The system of claim 3, wherein the determining by the executed computer readable media of the at least a two-dimensional temporal spatial view of the camera is at least partially carried out using a signal received from at least one radio frequency (RF) location device located on the camera.

9. The system of claim 3, wherein determining by the executed computer readable media of the at least a two-dimensional temporal location of an object is at least partially carried out using a signal received from the at least one radio frequency (RF) location device located on the object.

10. The system of claim 9, wherein the determining by the executed computer readable media of the at least a two-dimensional temporal spatial view of the camera is at least partially carried out using a signal received from at least one radio frequency (RF) location device located on the camera.

11. The system of claim 1, wherein the determining by the executed computer readable media of the at least a two-dimensional temporal spatial view of the camera is at least partially carried out using a signal received from at least one radio frequency (RF) location device located on the camera.

12. The system of claim 1, wherein determining by the executed computer readable media of the at least a two-dimensional temporal location of an object is at least partially carried out using a signal received from the at least one radio frequency (RF) location device located on the object.

13. The system of claim 12, wherein the determining by the executed computer readable media of the at least a two-dimensional temporal spatial view of the camera is at least partially carried out using a signal received from at least one radio frequency (RF) location device located on the camera.

14. The system of claim 1, wherein the executed computer readable media computer in determining the at least a two-dimensional temporal location of the object and determining the at least a two-dimensional temporal spatial view of the camera reviews information in a data store.

15. The system of claim 13, wherein the computer readable media such that when executed is operable to is further operable to:

yield based upon a statistical analysis of the two-dimensional temporal location of the object, semantics of the location of the object in relation to the event; and

when the semantics represent an item of interest, determine for a time period of the item of interest whether the at least a two-dimensional location of the object is correlated with the at least a two-dimensional spatial view of the camera.

16. The method of claim 1, wherein the camera is a plurality of cameras and the computer readable media such that when executed is operable to is further operable to:

yield based upon a statistical analysis of the two-dimensional temporal location of the object, semantics of the location of the object in relation to the event; and

when the semantics represent an item of interest, provide instruction to correlate at least a portion of the at least a two-dimensional temporal spatial view of at least one of the plurality of cameras with the at least a two-dimensional temporal location of the object to capture the item of interest.

17. A method of correlating objects in an event with a camera, the method comprising:

determining at least a two-dimensional spatial view of a camera, wherein the determining at least a two-dimensional spatial view of the camera is at least partially carried out using radio frequency (RF) location devices located on the camera.

18. The method of claim 17, wherein the at least a two-dimensional spatial view is a three-dimensional spatial view.

19. The method of claim 17, further comprising:

determining at least a two-dimensional temporal location of an object

20. The method of claim 17, wherein the determining at least a two-dimensional spatial view of a camera is at least partially carried out using at least three RF location sensors that receive electromagnetic waves from the radio frequency (RF) location devices on the camera.

22. The method of claim 17, wherein the determining at least a two-dimensional spatial view of the camera includes determining a temporal spatial view of the camera.

23. The method of claim 17, wherein the determining a temporal spatial view of the camera accommodates for movement in the axis of the camera.

24. A method of correlating objects in an event with a camera, the method comprising:

determining a three-dimensional temporal location of an object;

yielding, based upon a statistical analysis of the two-dimensional location of the object and a pre-defined set of rules, semantics of the object in relation to an event.

21. The method of claim 30, wherein determining at least a two-dimensional temporal location of the plurality of object is based upon an up-link time of arrival of propagated waves from the radio frequency (RF) location devices.

25. The method of claim 24, further comprising:

determining at least a two-dimensional temporal spatial view of a camera;

26. The method of claim 24, wherein the event is sporting event.

27. The method of claim 24, wherein the statistical analysis includes utilization of a hidden Markov model.

28. The method of claim 24, wherein determining the at least a two-dimensional temporal location of an object is at least partially carried out using radio frequency (RF) location devices on the object.

29. The method of claim 24, wherein the object is a plurality of objects, further comprising:

determining at least a two-dimensional temporal location of the plurality of objects.

30. The method of claim 29, wherein the determining at least a two-dimensional temporal location of the plurality of object is at least partially carried out using radio frequency (RF) location devices.

31. The method of claim 30, wherein each of the plurality of objects has at least two radio frequency (RF) location devices.

32. The method of claim 30, wherein the determining at least a two-dimensional temporal location of the plurality of object is based upon an up-link time of arrival of propagated waves from the radio frequency (RF) location devices.

33. The method of claim 32, wherein the radio frequency devices issue beacon signals which are received by at least four nodes.

34. The method of claim 32, wherein the radio frequency devices issue beacon signals which are received by at least three sensor nodes.

35. The method of claim 34, wherein determining at least a two-dimensional temporal location of the plurality of object is further based upon a measurement of time differentials of propagated electromagnetic waves from different devices.

36. The method of claim 35, wherein the measurement of time differentials of propagated electromagnetic waves from different devices accommodates for a lack of synchronization in the system.

37. The method of claim 29, wherein

the event is sporting event, and

at least one of the plurality of objects is a ball and at least one of the plurality of objects is a player.

38. A method of correlating objects in an event with a camera, the method comprising:

determining at least a two-dimensional temporal location of an object;

determining at least a two-dimensional temporal spatial view of a camera; and

determining whether the at least a two-dimensional temporal location of the object is correlated with the at least a two-dimensional temporal spatial view of the camera.

39. The method of claim 38, wherein

the at least a two-dimensional temporal location of the object is a three-dimensional temporal location of the object, and

the at least a two-dimensional temporal spatial view of the camera is a three-dimensional temporal spatial view of the camera.

40. The method of claim 38, further comprising:

yielding based upon a statistical analysis of the two-dimensional temporal location of the object, semantics of the location of the object in relation to the event; and

when the semantics represent an item of interest, correlating at least a portion the at least a two-dimensional temporal spatial view of the camera with the at least a two-dimensional temporal location of the object to capture the item of interest.

41. The method of claim 40, wherein determining the at least a two-dimensional temporal spatial view of the camera is at least partially carried out using at least one radio frequency (RF) location device located on the camera.

42. The method of claim 40, wherein determining the at least a two-dimensional temporal location of an object is at least partially carried out using at least one radio frequency (RF) location device located on the object.

43. The method of claim 42, wherein determining the at least a two-dimensional temporal spatial view of the camera is at least partially carried out using at least one radio frequency (RF) location device located on the camera.

44. The method of claim 38, wherein determining the at least a two-dimensional temporal spatial view of the camera is at least partially carried out using at least one radio frequency (RF) location device located on the camera.

45. The method of claim 38, wherein determining the at least a two-dimensional temporal location of an object is at least partially carried out using at least one radio frequency (RF) location device located on the object.

46. The method of claim 45, wherein determining the at least a two-dimensional temporal spatial view of the camera is at least partially carried out using at least one radio frequency (RF) location device located on the camera.

47. The method of claim 40, wherein the object is a plurality of objects and the yielding is based upon a statistical analysis of the two-dimensional temporal locations of the plurality of objects.

48. The method of claim 40, wherein the yielding is further based upon a pre-defined set of rules corresponding to the event.

49. The method of claim 40, wherein the yielding is further based upon a pre-defined locations of event parameters.

50. The method of claim 40, wherein the correlating is a real-time automatic positioning of the camera.

51. The method of claim 38, wherein

determining the at least a two-dimensional temporal location of the object and determining the at least a two-dimensional temporal spatial view of the camera are carried out by reviewing information in a data store.

52. The method of claim 51, further comprising:

yielding, with the one or more computers, based upon a statistical analysis of the two-dimensional temporal location of the object, semantics of the location of the object in relation to the event; and

when the semantics represent an item of interest, determining for a time period of the item of interest whether the at least a two-dimensional location of the object is correlated with the at least a two-dimensional spatial view of the camera.

53. The method of claim 38, wherein the camera is a plurality of cameras, further comprising:

yielding based upon a statistical analysis of the two-dimensional temporal location of the object, semantics of the location of the object in relation to the event; and

when the semantics represent an item of interest, correlating at least a portion of the at least a two-dimensional temporal spatial view of at least one of the plurality of cameras with the at least a two-dimensional temporal location of the object to capture the item of interest.

54. A system for correlating objects in an event with a camera, the method comprising:

a camera having radio frequency (RF) location devices and a focus detector,

at least three RF location sensors that receive electromagnetic waves to or from the radio frequency (RF) location devices on the camera; and

a computer operable to determine at least a two-dimensional spatial view of the camera based on the receive electromagnetic waves from the radio frequency (RF) location devices and the focus detector.

55. The system of claim 54, wherein the computer is remote from the camera.

56. The system of claim 54, wherein the computer is on-board with the camera.

57. The system of claim 54, wherein the camera at least a two-dimensional spatial view is a three-dimensional spatial view.