Networked video surveillance system

• US 20050132414A1
• Filed: 11/17/2004
• Published: 06/16/2005
• Est. Priority Date: 12/02/2003
• Status: Abandoned Application

• Current Assignee: Connexed, Inc.
• Original Assignee: Connexed, Inc.
• Inventors: Bentley, Sheldon R., Beck, David G., Bristow, Stephen D.
• Application Number:
  US10/990,720
• Publication Number:
  US 20050132414A1
• Time in Patent Office: Days
• US Class Current: 725/105
• CPC Class Codes: G08B 13/19606 Discriminating between target movement or movement in an area of interest and other non-signicative movements, e.g. target movements induced by camera shake or movements of pets, falling leaves, rotating fan
• CPC Class Codes: G08B 13/19656 Network used to communicate with a camera, e.g. WAN, LAN, Internet
• CPC Class Codes: G08B 13/19671 Addition of non-video data, i.e. metadata, to video stream
• CPC Class Codes: G08B 13/1968 Interfaces for setting up or customising the system
• CPC Class Codes: G08B 13/19682 Graphic User Interface [GUI] presenting system data to the user, e.g. information on a screen helping a user interacting with an alarm system
• CPC Class Codes: G08B 13/19693 using multiple video sources viewed on a single or compound screen
• CPC Class Codes: G08B 25/14 Central alarm receiver or annunciator arrangements
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

A method of storing, analyzing and accessing video data from the surveillance cameras operated by multiple, unrelated users is provided. Data storage and analysis is performed by an independent system remotely located at a third party site, the third party site and the users connected via a network. Users access stored video data using any of a variety of devices coupled to the network. In one aspect, users submit configuration instructions which govern how long their data is to be stored, the frequency of data acquisition/storage, data communication parameters/protocols, and video resolution. In another aspect, users remotely obtain from the third party system a graphical view of the video data acquired from a particular camera, the graphical view showing the activity monitored by the camera versus time. In yet another aspect, users submit zone configuration instructions to the third party system. In yet another aspect, users remotely submit rules of analysis, such as time-based and/or shaped-based rules, to be applied to their acquired video data by the third party system.

Claims

1. A method of storing, analyzing and accessing video data, the method comprising the steps of:

transmitting video data from at least one surveillance camera at a first user site to a remotely located third party site via a network, wherein said first user site is independent of said remotely located third party site;

transmitting video data from at least one surveillance camera from at least one additional user site to said remotely located third party site via said network, wherein said at least one additional user site is independent of said first user site and said remotely located third party site;

analyzing said video data from said first user and said at least one additional user by an application located on a server at said third party site;

storing said analyzed video data from said first user and said at least one additional user in a video data base located at said third party site; and

accessing said analyzed video data stored in said video data base located at said third party site via a user controlled device coupled to said network and located remotely from said third party site.

2. The method of claim 1, wherein said network is an internet based network.

3. The method of claim 1, further comprising the steps of coupling said at least one surveillance camera of said first user site to a local area network and coupling said local area network to said network.

4. The method of claim 1, wherein said user controlled device is a network connected computer.

5. The method of claim 1, further comprising the step of compressing said video data from said at least one surveillance camera at said first user site prior to transmitting said video data from said at least one surveillance camera at said first user site to said remotely located third party site.

6. The method of claim 1, further comprising the step of storing said video data from said first user in a second video data base located at said first user site.

7. The method of claim 1, further comprising the step of inputting user video data base configuration instructions to said third party site via said network using an input device remotely located from said third party site.

8. The method of claim 7, further comprising the step of selecting said user video data base configuration instructions from the group consisting of data storage time, data acquisition frequency, data communication parameters and video resolution.

9. The method of claim 7, wherein said user video data base configuration instructions are camera specific.

10. The method of claim 1, further comprising the steps of:

inputting a user request for a graphical view of activity versus time for a specific user camera, said user request input to said third party site via said network using an input device remotely located from said third party site;

determining activity versus time for said specific user camera, said step performed by said application located on said server at said third party site; and

transmitting said requested graphical view of activity versus time for said specific user camera to said input device via said network from said third party site.

11. The method of claim 10, further comprising the step of inputting a period of time for analysis to said third party site via said network using said input device.

12. The method of claim 10, further comprising the steps of:

identifying a portion of said graphical view of activity versus time for said specific user camera;

transmitting said identified portion of said graphical view of activity versus time for said specific user camera to said third party site via said network using said input device; and

transmitting video data corresponding to said identified portion of said graphical view of activity versus time for said specific user camera to said input device via said network from said third party site.

13. The method of claim 1, further comprising the steps of:

inputting at least one user defined rule of analysis to be applied to a specific user camera, said user defined rule of analysis input to said third party site via said network using an input device remotely located from said third party site; and

analyzing said video data in accordance with said at least one user defined rule of analysis for said specific user camera, said step performed by said application located on said server at said third party site.

14. The method of claim 13, further comprising the step of transmitting video data analyzed in accordance with said at least one user defined rule of analysis for said specific camera from said third party site to said input device via said network.

15. The method of claim 13, wherein said at least one user defined rule of analysis includes a plurality of time period based rules.

16. The method of claim 13, wherein said at least one user defined rule of analysis includes at least one shape based rule.

17. The method of claim 13, further comprising the step of selecting an autofocus feature to be applied to said specific user camera, wherein said selecting step is input to said third party site via said network using a second input device remotely located from said third party site.

18. The method of claim 17, wherein said autofocus feature comprises the steps of:

determining when one of said at least one user defined rule of analysis is triggered; and

increasing a resolution corresponding to said specific user camera.

19. The method of claim 17, wherein said input device and said second input device are the same device.

20. The method of claim 1, further comprising the steps of:

inputting a user zone instruction to divide a field of view corresponding to a specific camera into a plurality of zones, said user zone instruction input to said third party site via said network using an input device remotely located from said third party site;

inputting a plurality of user defined rules of analysis corresponding to said plurality of zones to said third party site via said network using said input device; and

analyzing said plurality of zones of said video data for said specific user camera in accordance with said plurality of user defined rules of analysis, said analyzing step performed by said application located on said server at said third party site.

21. The method of claim 20, further comprising the step of transmitting video data analyzed in accordance with said plurality of user defined rules of analysis for said specific camera from said third party site to said input device via said network.

22. The method of claim 20, wherein said plurality of user defined rules of analysis include a plurality of time period based rules.

23. The method of claim 20, wherein said plurality of user defined rules of analysis include at least one shape based rule.

24. The method of claim 20, further comprising the steps of selecting an autozoom feature to be applied to said plurality of zones of said video data for said specific user camera, wherein said selecting step is input to said third party site via said network using a second input device remotely located from said third party site.

25. The method of claim 24, wherein said autozoom feature comprises the steps of:

determining when one of said plurality of user defined rules of analysis is triggered;

identifying a specific zone of said plurality of zones in which said one of said plurality of user defined rules of analysis was triggered; and

enlarging said specific zone of said plurality of zones.

26. The method of claim 25, wherein said enlarging step enlarges said specific zone to fill said field of view of said specific user camera.

27. The method of claim 24, wherein said input device and said second input device are the same device.

28. The method of claim 20, further comprising the steps of selecting an autofocus feature to be applied to said plurality of zones of said video data for said specific user camera, wherein said selecting step is input to said third party site via said network using a second input device remotely located from said third party site.

29. The method of claim 28, wherein said autofocus feature comprises the steps of:

determining when one of said plurality of user defined rules of analysis is triggered;

identifying a specific zone of said plurality of zones in which said one of said plurality of user defined rules of analysis was triggered; and

increasing a resolution corresponding to said specific zone of said plurality of zones.

30. The method of claim 28, wherein said input device and said second input device are the same device.

31. A method of storing, analyzing and accessing video data, the method comprising the steps of:

transmitting video data from a first plurality of surveillance cameras located at a first user site to a remotely located third party site via an internet network, wherein said first user site is independent of said remotely located third party site;

inputting a first user video base configuration instruction for said first user site to said third party site via said internet network using a first input device remotely located from said third party site;

inputting a first user defined rule of analysis to be applied to at least one of said first plurality of surveillance cameras, wherein said first user defined rule of analysis is input to said third party site via said internet network using a second input device remotely located from said third party site;

analyzing said video data from said at least one of said first plurality of surveillance cameras in accordance with said first user defined rule of analysis, said analyzing step performed by an application located on a server at said third party site;

storing said analyzed video data from said at least one of said first plurality of surveillance cameras in accordance with said first user video base configuration instruction in a video data base located at said third party site;

accessing said analyzed video data from said at least one of said first plurality of surveillance cameras stored in said video data base via a first user controlled access device coupled to said internet network and located remotely from said third party site;

transmitting video data from a second plurality of surveillance cameras at a second user site to said remotely located third party site via said internet network, wherein said second user site is independent of said first user site and said remotely located third party site;

inputting a second user video base configuration instruction for said second user site to said third party site via said internet network using a third input device remotely located from said third party site;

inputting a second user defined rule of analysis to be applied to at least one of said second plurality of surveillance cameras, wherein said second user defined rule of analysis is input to said third party site via said internet network using a fourth input device remotely located from said third party site;

analyzing said video data from said at least one of said second plurality of surveillance cameras in accordance with said second user defined rule of analysis, said analyzing step performed by said application located on said server at said third party site;

storing said analyzed video data from said at least one of said second plurality of surveillance cameras in accordance with said second user video base configuration instruction in said video data base located at said third party site; and

accessing said analyzed video data from said at least one of said second plurality of surveillance cameras stored in said video data base via a second user controlled access device coupled to said internet network and located remotely from said third party site.

32. The method of claim 31, further comprising the steps of coupling said first plurality of surveillance cameras to a local area network and coupling said local area network to said internet network.

33. The method of claim 31, wherein said first and second input devices are the same device.

34. The method of claim 31, wherein said first input device and said first user controlled access device are the same device.

35. The method of claim 31, further comprising the step of compressing said video data from said first plurality of surveillance cameras prior to transmitting said video data from said first user site to said remotely located third party site.

36. The method of claim 31, further comprising the step of storing said video data from said first plurality of surveillance cameras in a second video data base located at said first user site.

37. The method of claim 31, further comprising the step of selecting said first user video data base configuration instruction from the group consisting of data storage time, data acquisition frequency, data communication parameters and video resolution.

38. The method of claim 31, wherein said first user video data base configuration instruction is camera specific.

39. The method of claim 31, further comprising the steps of:

inputting a first user request for a graphical view of activity versus time for a specific first user camera of said first plurality of surveillance cameras, said first user request input to said third party site via said internet network using a fifth input device remotely located from said third party site;

determining activity versus time for said specific first user camera, said step performed by said application located on said server at said third party site; and

transmitting said requested graphical view of activity versus time for said specific first user camera to said fifth input device via said internet network from said third party site.

40. The method of claim 39, further comprising the step of inputting a period of time for analysis to said third party site via said internet network using said fifth input device.

41. The method of claim 39, further comprising the steps of:

identifying a portion of said graphical view of activity versus time for said specific first user camera;

transmitting said identified portion of said graphical view of activity versus time for said specific first user camera to said third party site via said internet network using said fifth input device; and

transmitting video data corresponding to said identified portion of said graphical view of activity versus time for said specific first user camera to said fifth input device via said internet network from said third party site.

42. The method of claim 31, wherein said first user defined rule of analysis includes a plurality of time period based rules.

43. The method of claim 31, wherein said first user defined rule of analysis includes at least one shape based rule.

44. The method of claim 31, further comprising the step of selecting an autofocus feature to be applied to said at least one of said first plurality of user cameras, wherein said selecting step is input to said third party site via said internet network using a fifth input device remotely located from said third party site.

45. The method of claim 44, wherein said autofocus feature comprises the steps of:

determining when said first user defined rule of analysis is triggered; and

increasing a resolution corresponding to said at least one of said first plurality of user cameras.

46. The method of claim 31, further comprising the steps of:

inputting a first user zone instruction to divide a field of view corresponding to a specific user camera of said first plurality of cameras into a plurality of zones, said user zone instruction input to said third party site via said internet network using a fifth input device remotely located from said third party site, wherein said first user defined rule of analysis is comprised of a plurality of rules corresponding to said plurality of zones; and

analyzing said plurality of zones of said video data for said specific user camera in accordance with said plurality of rules, said analyzing step performed by said application located on said server at said third party site.

47. The method of claim 46, further comprising the step of transmitting video data analyzed in accordance with said plurality of rules and said plurality of zones for said specific user camera from said third party site to a third user controlled access device via said internet network.

48. The method of claim 46, wherein said first user defined rule of analysis includes a plurality of time period based rules.

49. The method of claim 46, wherein said first user defined rule of analysis includes at least one shape based rule.

50. The method of claim 46, further comprising the steps of selecting an autozoom feature to be applied to said plurality of zones of said video data for said specific user camera, wherein said selecting step is input to said third party site via said internet network using a sixth input device remotely located from said third party site.

51. The method of claim 50, wherein said autozoom feature comprises the steps of:

determining when said first user defined rule of analysis is triggered;

identifying a specific zone of said plurality of zones in which said first user defined rule of analysis is triggered was triggered; and

enlarging said specific zone of said plurality of zones.

52. The method of claim 51, wherein said enlarging step enlarges said specific zone to fill said field of view of said specific user camera.

53. The method of claim 46, further comprising the steps of selecting an autofocus feature to be applied to said plurality of zones of said video data for said specific user camera, wherein said selecting step is input to said third party site via said internet network using a sixth input device remotely located from said third party site.

54. The method of claim 53, wherein said autofocus feature comprises the steps of:

determining when said first user defined rule of analysis is triggered;

identifying a specific zone of said plurality of zones in which said first user defined rule of analysis was triggered; and

increasing a resolution corresponding to said specific zone of said plurality of zones.