Traffic flow detection method based on object detection

A traffic flow and object detection technology, which is applied in the direction of road vehicle traffic control system, traffic control system, instruments, etc., can solve the problems of difficult non-motor vehicle consideration, inability to distinguish vehicles, and false detection

Inactive Publication Date: 2013-07-17
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

This fixed window detection method often causes false detection when the vehicle changes lanes or vehicles in adjacent lanes partially cover the detection window of the detected

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  • Traffic flow detection method based on object detection
  • Traffic flow detection method based on object detection
  • Traffic flow detection method based on object detection

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Embodiment Construction

[0037] The present invention will be further described below according to accompanying drawing:

[0038] As shown in the technical flow chart of the method of the present invention, it is implemented according to the steps described in the summary of the invention: the method of the present invention can be used in various occasions of traffic flow detection under video images. Before being used for traffic detection, by collecting image data of objects such as abundant vehicles, the detector is trained earlier according to the method of the present invention; the video monitoring camera is installed in a suitable position, such as above the road, above the crossing, etc.; then Adopt suitable video transmission means, such as wired or wireless, extract the video images collected by the camera in real time during the flow detection process, and then process these images in an orderly manner according to the method of the present invention. According to the schematic diagram of ...

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Abstract

The invention provides a traffic flow detection method based on object detection and belongs to the technical field of intelligent video monitoring. At present, traffic flow detection has the problem that effective division is hard to perform on power-driven vehicles or non-power-driven vehicles. The traffic flow detection method based on the object detection includes: firstly a real-time object detector based on random ferns is obtained through off-line training, then object detection is performed on traffic video images through the real-time object detector, types and quantity of objects in the current video scene are determined, mark matching based on an active region is performed on a detection result during operation, and calculation on traffic flow is achieved. Simultaneously, through adding of a novel training data on-line updating detector, the traffic flow detection method based on the object detection enables a system to be optimized and perfected continuously, can perform real-time classified calculation and statistics on the traffic flow, enables flow calculation results to be accurate, and is mainly used for traffic flow detection.

Description

technical field [0001] The invention belongs to the technical field of intelligent video monitoring, in particular to the technical field of computer graphics and image processing. Background technique [0002] Traffic flow detection is an important basic work of intelligent transportation system. It provides an important data source for intelligent traffic management and control, and is widely used in traffic guidance, road resource allocation, road construction evaluation and other fields. Compared with traditional permanently embedded detection based on piezoelectric circuits (such as annular buried coil detection) and suspended detection (such as detection based on closed-circuit television, microwave, radar, infrared or ultrasonic sensors), the method of video image detection has the advantages of Obvious advantages: large detection coverage, multiple detection parameters; simple installation, convenient maintenance; no damage to the road surface, low engineering cost, ...

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Application Information

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IPC IPC(8): G08G1/065G06K9/66
Inventor 权伟陈锦雄于小娟刘彬邬祖全
Owner SOUTHWEST JIAOTONG UNIV
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