Vehicle matching method based on videos

Abstract

The invention discloses a method for matching moving vehicles in videos. According to the method, firstly vehicle monitoring videos are obtained, the moving vehicles in each frame of each image is parted off through a background frame differential method; secondly, vehicle positions in each frame are recorded to establish a vehicle position database; thirdly, searching windows are placed in adjacent image frames with the vehicle needing matching as the center; then target vehicles are searched in the searching windows, adaptive adjustment is carried out on the sizes of the windows according to searching results till the vehicles are found, and the vehicle positions are recorded; finally, calculation of variation of displacement and variation of speed is carried out on found targets, and the optimal target is selected to achieve the matching. According to the vehicle matching method based on the videos, the defect that no effective method for carrying out vehicle matching after the detecting test of vehicles exists is overcome, proposed matching characteristics are simple in calculation, low in complexity and strong in instantaneity, verification modules can improve matching accuracy, and the vehicle matching method based on the videos has broad application prospect.

Description

technical field [0001] The invention relates to the technical field of traffic video detection, is a video-based vehicle matching method, and is mainly used for intelligent traffic systems to extract road traffic information. Background technique [0002] Video-based vehicle matching refers to the identification of the same vehicle at different locations in a series of image frames. At present, many systems (including intelligent transportation systems) need to extract the traffic flow of the road. Many algorithms have successfully detected moving vehicles, but the detection results can only represent the number of vehicles in a single static image. If you need to count the traffic flow, you need to match each vehicle. The perfection of the vehicle matching method is conducive to the intelligentization of traffic. At the same time, the vehicle's driving trajectory can be recorded through vehicle matching. When unsafe behaviors such as illegal lane changes occur, the meth...

AI Technical Summary

Problems solved by technology

[0003] The traditional vehicle matching method is mainly based on the mean-shift method. This method does not take into account the actual engineering application background, and does not optimize the search range during the search, making the algorithm a large amount of calculation and poor real-time performance; secondly, the mean-shift The size of shift's search window is fixed, it cannot be adjusted adaptively, and it lacks practicability

[0004] Due to the defects and deficiencies of this traditional matching method, it has been difficult to launch mature traffic flow detection products. At the same time, with the development of intelligent transportation systems, the popularity of video acquisition equipment and the cost of video-based traffic information acquisition hardware have gradually decreased. , video-based vehicle matching technology has broad application prospects

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