VEHICLE DETECTION AND COUNTING

• US 20160042640A1
• Filed: 10/16/2015
• Published: 02/11/2016
• Est. Priority Date: 11/15/2012
• Status: Active Grant

• Current Assignee: Motorola Solutions, Inc.
• Original Assignee: Avo Usa Holding 2 Corporation (Motorola Solutions, Inc.)
• Inventors: Saptharishi, Mahesh, Marman, Douglas H.
• Granted Patent: US 9,412,268 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06T 15/08 Volume rendering
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/30196 Human being; Person
• CPC Class Codes: G06T 2207/30232 Surveillance
• CPC Class Codes: G06T 2207/30241 Trajectory
• CPC Class Codes: G06T 2207/30242 Counting objects in image
• CPC Class Codes: G06T 2207/30252 Vehicle exterior; Vicinity of vehicle
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06T 7/215 Motion-based segmentation
• CPC Class Codes: G06T 7/90 Determination of colour characteristics
• CPC Class Codes: G06V 20/44 Event detection
• CPC Class Codes: G06V 20/49 Segmenting video sequences, i.e. computational techniques such as parsing or cutting the sequence, low-level clustering or determining units such as shots or scenes
• 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: G06V 20/54 of traffic, e.g. cars on the road, trains or boats
• CPC Class Codes: G06V 40/103 Static body considered as a whole, e.g. static pedestrian or occupant recognition
• CPC Class Codes: G08B 13/19613 Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
• CPC Class Codes: G08B 13/2491 Intrusion detection systems, i.e. where the body of an intruder causes the interference with the electromagnetic field
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: H04N 7/18 Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources
• CPC Class Codes: H04N 7/183 : for receiving images from a single remote source
• CPC Class Codes: H04N 7/188 : Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position signal generation from motion picture films H04N5/253

Abstract

Video analytics is used to track an object of interest represented in video data representing the field of view of a scene observed by a video camera. A multidimensional virtual beam is used to detect whether the tracked object of interest is continually present in a detection zone within the field view of the scene. An occurrence of an event is signaled when the tracked object of interest is continually present in the detection zone during a period beginning when the tracked object of interest enters the detection zone and ending when the tracked object of interest leaves the detection zone through the opposite side, after having completely crossed through the detection zone. Use of a virtual beam detection zone reduces false alarms as compared to the numbers of incidences of false alarms of traditional detection methods, while adding several features and benefits.

Claims

1. A method of monitoring one or more vehicles passing through an area within a field of view of a scene observed by a video camera, the method comprising:

receiving video data representing the field of view of the scene observed by the video camera;

using video analytics to track the one or more vehicles represented in the video data;

configuring a detection zone within the area, the detection zone including an entrance side and an exit side positioned opposite to each other and thereby defining opposite sides of the detection zone, the detection zone comprising a specified region of vehicle travel;

signaling an occurrence of an event when the one or more tracked vehicles is continually present in the detection zone during a period beginning when the tracked object of interest enters the detection zone on the entrance side and ending when the tracked object of interest leaves the detection zone from the exit side;

performing a count of the one or more vehicles; and

using the count of vehicles to monitor vehicle traffic patterns in the specified region.

2. The method of claim 1, wherein the detection zone corresponds to a volume superimposed on a two-dimensional image represented by the video data.

3. The method of claim 1, wherein the detection zone corresponds to a volume of space oriented in a three-dimensional representation of the scene observed by the video camera.

4. The method of claim 1, wherein the signaling of an occurrence of an event is performed for the one or more vehicles exhibiting a specified physical characteristic.

5. The method of claim 4, wherein the physical characteristic comprises at least one of a color of the one or more vehicles, a size of the one or more vehicles, or a type of the one or more vehicles.

6. The method of claim 4, wherein the physical characteristic is a speed of motion of the one or more vehicles.

7. The method of claim 4, wherein the physical characteristic is a height of the one or more vehicles.

8. The method of claim 4, wherein the detection zone corresponds to a volume of space and thereby defines a virtual beam detection zone that is superimposed on an image represented by the video data, and in which the physical characteristic is a height of the one or more vehicles within the virtual beam detection zone.

9. The method of claim 4, wherein the detection zone corresponds to a volume of space and thereby defines a virtual beam detection zone that is superimposed on an image represented by the video data, and in which the physical characteristic is a height of the one or more vehicles within the virtual beam detection zone capable of being configured by a height value set by a user.

10. The method of claim 1, wherein the signaling of an occurrence of an event is performed upon determination of a specified number of vehicles.

11. The method of claim 1, further comprising monitoring an output signal of an external sensor, and in which the signaling of an occurrence of an event is performed upon indication of a predetermined value of the output signal of the external sensor.

12. The method of claim 1, further comprising assigning the detection zone to follow at least one of the one or more vehicles as it moves within the field of view of the scene observed by the video camera.

13. The method of claim 12, wherein the scene observed by the video camera is a vehicle parking site.

14. The method of claim 1, wherein one of the one or more vehicles is of a specified type, and further comprising automatically assigning the detection zone to encompass the specified vehicle when it appears in the field of view of the scene observed by the video camera.

15. The method of claim 1, further comprising determining a direction the tracked vehicle travelled through the detection zone by determining which sides of the detection zone the tracked vehicle entered and exited.

16. The method of claim 1, further comprising configuring a time allowed for one of the one or more vehicles to pass through the detection zone from the entrance side to the exit side, wherein signaling the occurrence of the event is performed based on a comparison of the period and the time allowed for the one of the one or more vehicles to pass through the detection zone.

17. The method of claim 16, wherein signaling the occurrence of the event is performed when the period is greater than the time allowed for the one of the one or more vehicles to pass through the detection zone.

18. The method of claim 16, wherein signaling the occurrence of the event is performed when the period is equal to or less than the time allowed for the one of the one or more vehicles to pass through the detection zone.

19. The method of claim 16, wherein configuring the time allowed for the one of the one or more vehicles to pass through the detection zone comprises setting a range of times corresponding to a range of speeds of the one or more vehicles.

20. The method of claim 16, wherein configuring the time allowed is based on user input.

21. The method of claim 19, wherein configuring the time allowed is based on user a user selection of the speed or the range of speeds of the one or more vehicles to be detected.

22. The method of claim 1, further comprising generating a report illustrating the vehicle traffic patterns.

23. The method of claim 22, wherein the report is based on one or more of a time of day, a season of year, or a comparison of one or more other vehicle traffic patterns.

24. The method of claim 1, wherein the vehicles are selected as the one or more multiple objects of interest based on detection of lights associated with the specified region of vehicle travel turning off.

25. The method of claim 1, further comprising tracking a part of the one or more vehicles.

26. The method of claim 25, wherein the part of the one or more vehicles comprises a license plate.

27. A video surveillance system, comprising:

at least one video camera configured to monitor whether an object of interest is passing through a detection zone within a field of view of a scene observed by the at least one video;

a computer system connected to the at least one video camera, and wherein the computer system further comprises;

a memory; and

a processor, wherein the memory comprises instructions, that when executed by the processor, cause the processor to;

receive video data representing the field of view of the scene observed by the video camera;

track the one or more vehicles represented in the video data using video analytics;

configure the detection zone, the detection zone including an entrance side and an exit side positioned opposite to each other and thereby defining opposite sides of the detection zone, the detection zone comprising a specified region of vehicle travel;

signal an occurrence of an event when the one or more tracked vehicles is continually present in the detection zone during a period beginning when the tracked object of interest enters the detection zone on the entrance side and ending when the tracked object of interest leaves the detection zone from the exit side;

perform a count of the one or more vehicles; and

monitor vehicle traffic patterns in the specified region using the count of vehicles.

28. The video surveillance system of claim 27, wherein the at least one video camera and the computer are integrated.

29. A non-transitory computer readable medium storing instruction, that when executed by a processor, cause the processor to perform the operations of:

receiving video data representing a field of view of a scene observed by at least one video camera;

using video analytics to track a plurality of vehicles represented in the video data;

configuring a detection zone, the detection zone including an entrance side and an exit side positioned opposite to each other and thereby defining opposite sides of the detection zone, the detection zone comprising a specified region of vehicle travel;

signaling an occurrence of an event when the plurality of tracked vehicles is continually present in the detection zone during a period beginning when the tracked object of interest enters the detection zone on the entrance side and ending when the tracked object of interest leaves the detection zone from the exit side;

performing a count of the plurality of vehicles; and

using the count of the plurality of vehicles to monitor vehicle traffic patterns in the specified region.