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Method for detecting traffic flow of planar intersection

A technology of traffic flow detection and plane crossing, applied in traffic flow detection, traffic control system, parts of color TV, etc.

Inactive Publication Date: 2011-08-31
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

Furthermore, vehicles at level intersections in road traffic will also stop and go with the change of traffic lights, which will lead to easy mistaking of vehicles parked in the detection area when modeling the background of level intersections. Part of the background is processed to adversely affect vehicle detection results
The adjacent frame difference method is to detect the moving vehicle by subtracting the corresponding pixels of two consecutive frames of images, but this adjacent frame difference method is not effective for the detection of vehicles that are too slow or too fast.
In addition, when using the adjacent frame difference method to detect vehicles, shadows and noise on the picture will also greatly affect the detection effect, resulting in false detections

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  • Method for detecting traffic flow of planar intersection
  • Method for detecting traffic flow of planar intersection
  • Method for detecting traffic flow of planar intersection

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[0031] In the following description, numerous specific details are given in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without one or more of these details. In other examples, some technical features known in the art are not described in order to avoid confusion with the present invention.

[0032] The invention discloses a method for detecting traffic flow at a level intersection. Usually level traffic crossings are provided with video detection equipment, traffic signals, etc., the traffic flow detection method of level crossings of the present invention is by when the green signal light (i.e. green light) of the level crossings is on, the background of the crossing is carried out in the vehicle running process Modeling, get real-time automatic update background image. Specifically, first, the traffic signal communicates with the video detection...

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Abstract

The invention relates to a method for detecting the traffic flow of a planar intersection, comprising the following steps: firstly, extracting the edge image of a real-time video frame image at the planar intersection; secondly, carrying out background modeling to obtain a background edge image; thirdly, subtracting the background edge image from the edge image of the current image to obtain the edge image of a moving vehicle; fourthly, solving the average value of all the pixel values in the edge image of the moving vehicle; fifthly, carrying out vehicle existence detection on the average value by adopting a double-threshold method and removing the noise interference; and sixthly, counting the traffic flow. In the invention, the background modeling is carried out by using the edge images of moving vehicles which pass through the intersection when the light turns green and the backgrounds are updated in real time by using an automatic updating algorithm of the background edges so that the accurate background edges of the moving vehicles are obtained and the shadows and the noise interferences of the background images can be effectively removed.

Description

technical field [0001] The invention relates to a technology for detecting video traffic data at road level intersections, in particular to a technology for detecting traffic flow at road level intersections, and belongs to the technical field of traffic video detection. Background technique [0002] In the field of traffic video detection technology, commonly used vehicle detection methods mainly include: background difference method and adjacent frame difference method. The background difference method needs to be based on a reliable background image, and when the ambient light changes suddenly, the situation of missed detection and false detection is more serious. Furthermore, vehicles at level intersections in road traffic will also stop and go with the change of traffic lights, which will cause vehicles parked in the detection area to be easily mistaken as Part of the background is processed, thus adversely affecting the vehicle detection results. Adjacent frame diffe...

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Application Information

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IPC IPC(8): G08G1/01G08G1/065H04N5/202
Inventor 张永忠熊昌镇张福生李正熙刘小明李颖宏王力
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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