A computer vision-based precise positioning method for illegal rolling line vehicles in the diversion area
A computer vision and precise positioning technology, applied in the field of road vehicle violation detection, can solve problems such as difficult application, vehicle violation rolling line detection obstacles, and illegal rolling line detection difficulties, achieving good real-time and high accuracy effects
Inactive Publication Date: 2020-06-09
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology
The behavior of illegal rolling lines is unpredictable, and the road conditions are complex and changeable, which brings many obstacles to the detection of vehicle illegal rolling lines
Vehicle congestion in the diversion area is frequent, and it is particularly difficult to detect vehicle violations. Chinese patent 201210080262 discloses a video-based detection method for vehicle violations, but this method is difficult to apply in practice
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[0024] The present invention uses the average background modeling method to detect the moving foreground, combined with the diversion line area manually set in the early stage to judge whether there is a moving foreground in the diversion area. The coarse positioning frame of the vehicle is precisely positioned using the SLI3 superpixel method inside the positioning frame to obtain the final illegal vehicle detection frame.
[0025] In order to describe the implementation of the present invention in more detail, the present invention will be described below in conjunction with the accompanying drawings and specific embodiments.
[0026] figure 1 Provided the workflow of the present invention, as shown in the figure, the workflow of the present invention comprises:
[0027] (1) Take and read the background image first, manually set the detection area through the diversion area in the image and generate the corresponding mask image, which provides a basis for the rough position...
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The invention discloses a computer-vision-based method for localizing a vehicle with a peccancy pressing-line behavior in a traffic flow diversion region. The method comprises: according to a traffic flow diversion region in a video image, a detection region is set in a hand-operated manner and a corresponding mask image is generated; video frame pictures are read in sequence; a motion foreground is detected and AND operation is carried out on the motion foreground and the mask image to obtain a local motion foreground image of the traffic flow diversion region; a coarse positioning frame is determined based on the local motion image of the traffic flow diversion region; and according to a calibration parameter and a longitudinal vehicle position, the coarse positioning frame is adjusted to obtain a final peccancy vehicle detection frame. With the method disclosed by the invention, detection of line pressing by a vehicle in congestion can be realized; and the real-time performance is good. The method can be applied to the engineering practice.
Description
technical field [0001] The invention belongs to the field of road vehicle violation detection, and in particular relates to a computer vision-based precise positioning method for vehicles on a rolling line that violates regulations in a diversion area. Background technique [0002] Vehicle violation detection technology is of great significance to improve traffic efficiency and alleviate traffic congestion problems. Among the many vehicle violations, the most common violation is the illegal rolling of vehicles. The behavior of illegal rolling lines is unpredictable, and the road conditions are complex and changeable, which brings many obstacles to the detection of vehicle illegal rolling lines. Vehicle congestion in the diversion area is frequent, and it is particularly difficult to detect vehicle violations. Chinese patent 201210080262 discloses a video-based detection method for vehicle violations, but this method is difficult to apply in practice. Contents of the inven...
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IPC IPC(8): G06T7/11G06T7/13G06T7/215
CPCG06T7/11G06T7/13G06T7/215
Inventor 徐贵力谢瑒程月华张泽宏徐扬
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS