SYSTEM AND METHOD FOR PARKING AND TRAFFIC ANALYSIS

• US 20160125246A1
• Filed: 10/30/2015
• Published: 05/05/2016
• Est. Priority Date: 10/30/2014
• Status: Abandoned Application

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Ezra Gold
• Inventors: Ryhorchuk, Kent W., Gold, Ezra
• Application Number:
  US14/928,867
• Publication Number:
  US 20160125246A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: H04N 19/30 using hierarchical techniques, e.g. scalability H04N19/63 takes precedence
• CPC Class Codes: H04N 19/426 using memory downsizing methods
• CPC Class Codes: H04N 23/51 Housings
• CPC Class Codes: H04N 23/61 based on recognised objects
• CPC Class Codes: H04N 23/611 where the recognised objects include parts of the human body
• CPC Class Codes: H04N 23/661 Transmitting camera control signals through networks, e.g. control via the Internet
• CPC Class Codes: H04N 23/90 Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

In various example embodiments, a system and method for parking and traffic analysis are presented. A video processing system includes a pair of cameras coupled to a light pole and configured to face downward toward a street or roadway. The pair of cameras is configurable to provide a combined FOV to capture video data of an area beneath the light pole or across a street from the light pole. The video processing system also includes a computing device for processing the video data captured by the pair of cameras. The computing device analyzes the raw video data to identify relevant scenes for an application. The computing devices determines to report a relevant scene identified to authorized users of the application. The video processing system transmits information related to the identified relevant scene, via the network, to at least one of a service platform or a user device for utilization by the application.

Claims

1. A video processing system coupled to a light pole, comprising:

a pair of cameras coupled to the light pole and facing downward or across a street from the light pole, the pair of cameras are configurable to provide a combined field of view (FOV) to capture video data of an area beneath the light pole or across the street from the light pole;

a transceiver for communications via a network;

a memory device for storing instructions;

a processor coupled to the pair of cameras, the transceiver, and the memory, wherein the processor, when executing the instructions, causes the video processing system to perform operations comprising;

receiving raw video data captured by the pair of cameras;

compressing the raw video data into low-resolution video data and high-resolution video data;

storing the compressed high-resolution video data locally at the video processing system, the compressed high-resolution information accessible on-demand by authorized users of the service platform for an application;

delivering, in real time, the compressed low-resolution video data to a remote computing device via a network;

analyzing the raw video data to identify relevant scenes for the application;

determining to report a relevant scene identified to authorized users of the service platform for the application; and

transmitting information related to the identified relevant scene, via the wireless network, to at least one of the service platform or a user device for utilization by the application.

2. The video processing system of claim 1, wherein the processor, when executing the instructions, causes the video processing system to perform operations further comprising:

generating statistic and other information related to activity within the area; and

transmitting the statistic and other information, via the network, to the service platform for utilization by the application.

3. The video processing system of claim 1, wherein the processor, when executing the instructions, causes the video processing system to perform operations comprising analyzing the raw video data for reporting causes the video processing system to perform operations further comprising:

executing a video analytics algorithms using the raw video data.

4. The video processing system of claim 1, wherein the processor, when executing the instructions, causes the video processing system to perform operations comprising transmitting the information related to the identified relevant scene, via the network, to at least one of the service platform or a user device for utilization by the application further comprising:

transmitting reporting information to at least one of a parking enforcement agency, police departments, and security agency.

5. The video processing system of claim 1, wherein the combined FOV limits capturing video data above a horizon of the area beneath the light pole or across the street from the light pole.

6. The video processing system of claim 1, wherein the combined FOV prevents capturing video data of interiors of a building near the area beneath the light pole or across the street from the light pole to provide privacy for occupants of the building.

7. The video processing system of claim 1, wherein the combined FOV maintains privacy of individuals located within the area beneath the light pole or across the street from the light pole to prevent capturing video data of the individuals that can be used for at least one of face recognition and voice recognition of the individuals.

8. The video processing system of claim 1, wherein each of the pair of cameras includes a shade to limit capturing over exposed video data.

9. The video processing system of claim 1, further comprising:

a housing for the memory device and the processor, the housing attached to the light pole;

a mounting bracket attached to the pair of cameras;

a coupling piece attached for attaching the mounting bracket to the housing;

wherein the mounting bracket and the coupling piece enables each of the pair of cameras to have its orientation adjusted along the x-axis, the y-axis, and the z-axis while keeping each of the pair of cameras centered.

10. The video processing system of claim 1, wherein the combined FOV represents a single FOV created by slightly overlapping the individual the FOVs from each of the pair of cameras.

11. The video processing system of claim 1, wherein each of the pair of cameras has a FOV that is slightly less than 90 degrees such that the combined FOV of the pair of cameras is slightly less than 180 degrees.

12. The video processing system of claim 1, wherein the combined FOV represents a wide-angle view with a 32:

9 aspect ratio.

13. The video processing system of claim 1, wherein the video processing system represents one of the video processing systems in a network of the video processing systems, at least some of the video processing systems in the network of the video processing systems are coupled to light poles.

14. The video processing system of claim 1, wherein the combined FOV to capture video data of the area beneath the light pole or across the street from the light pole overlaps with a second combined FOV to capture data of a second area beneath a second light pole or across the street from the second light pole.

15. The video processing system of claim 1, wherein the combined FOV to capture video data of the area beneath the light pole is large enough to capture an image of at least one parking space, the parking space representing a demarcated parking space or non-demarcated parking area.

16. The video processing system of claim 1, wherein the processor, when executing the instructions, causes the video processing system to perform operations of analyzing the raw video data for reporting causes the video processing system to perform operations further comprising:

determining occupancy of a parking space beneath the light pole or across the street from the light pole within the area.

17. The video processing system of claim 1, wherein the processor, when executing the instructions, causes the video processing system to perform operations of analyzing the raw video data for reporting causes the video processing system to perform operations further comprising:

determining at least one of arrival and departure of a vehicle in the parking space within the area beneath the light pole.

18. The video processing system of claim 1, wherein the processor, when executing the instructions, causes the video processing system to perform operations of analyzing the raw video data for reporting causes the video processing system to perform operations further comprising:

determining a speed of a vehicle on the roadway within the area on the ground around the light pole.

19. The video processing system of claim 1, wherein the processor, when executing the instructions, causes the video processing system to perform operations of analyzing the raw video data for reporting causes the video processing system to perform operations further comprising:

detecting a presence of an object within the area on the ground around the light pole, the object representing at least one of a person or obstruction.

20. The video processing system of claim 16, wherein the processor, when executing the instructions, causes the video processing system to perform operations of analyzing the raw video data for reporting causes the video processing system to perform operations further comprising:

detecting a person walking off of a sidewalk into the street within the area beneath the light pole or across the street from the light pole.

21. A method of processing video data at a computing device including a pair of cameras coupled to a light pole and facing downward or across a street from the light pole, the pair of cameras is configurable to provide a combined FOV to capture video data of an area beneath the light pole or across the street from the light pole, comprising:

receiving raw video data captured by the pair of cameras;

compressing, using a processor of the computing device, the raw video data into low-resolution video data and high-resolution video data;

storing the compressed high-resolution video data locally at the video processing system, the compressed high-resolution information accessible on-demand by authorized users of the service platform for an application;

delivering, in real time, the compressed low-resolution video data to a remote computing device via a network;

analyzing, using the processor of the computing device, the raw video data to identify relevant scenes for the application;

determining to report a relevant scene identified to authorized users of the service platform for the application; and

transmitting information related to the identified relevant scene, via the network, to at least one of the service platform or a user device for utilization by the application.

22. The method of claim 21, further comprising:

receiving a request from the service platform, via the network, to access data stored at the system for the compressed high-resolution video data related to the identified relevant scenes;

accessing the compressed high-resolution video data related the identified relevant scenes; and

transmitting, to the service platform via the network, the compressed high-resolution video data related to the identified relevant scenes.

23. The method of claim 21, wherein analyzing, using the processor of the computing device, the raw video data to identify the relevant scenes for the application further comprises:

generating statistics and other information using the raw video data related to activity within the area beneath the light pole; and

transmitting, to the service platform via that network, the generated statistics and other information for utilization by the application.

24. The method of claim 21, wherein analyzing, using the processor of the computing device, the raw video data to identify the relevant scenes for the application further comprises:

executing a video analytics algorithms using the raw video data.

25. The method of claim 21, wherein transmitting the information related to the identified relevant scene, via the network, to the service platform for utilization by the application further comprises:

transmitting reporting information to at least one of a parking enforcement agency, police departments, and security agency.

26. The method of claim 21, wherein receiving the raw video data captured by the pair of cameras comprises:

combining individual data feeds from the video data captured by each of the pair of cameras into a combined data feed for the video data captured by the pair of cameras.

27. The method of claim 21, wherein the application represents at least one of a roadway parking application and a traffic analysis application.

28. The method of claim 21, wherein the service platform comprises at least one server that enables the application to access the information transmitted by the system.

29. The method of claim 21, wherein the service platform performs additional processing of the information transmitted by the system.

30. A non-transitory machine-readable storage medium in communication with at least one processor, the machine-readable storage medium storing instructions which, when executed by the at least one processor, performs operations comprising:

receiving raw video data captured by the pair of cameras;

analyzing, using the processor of the computing device, the raw video data to identify relevant scenes for the application;

determining to report a relevant scene identified to authorized users of the application; and

transmitting information related to the identified relevant scene, via the network, to at least one of the service platform or a user device for utilization by the application.