Road multi-vehicle recognition and tracking algorithm based on computer vision

In order to overcome low recognition accuracy and long tracking time in traditional road multi-vehicle recognition and tracking algorithms, a road multi-vehicle recognition and tracking algorithm based on computer vision is proposed. Firstly, the road multi-vehicle vision image is collected through the internal and external parameter model of the computer vision sensor; Then the visual image data is fused by multi-thread control, and the fused image is preprocessed by graying, filtering, denoising and enhancement; Finally, the method of row gray value statistics is used to dynamically delimit the area of interest, and identify multiple vehicle targets on the road in this area, and form a tracking door for the identified targets, and associate multiple targets and tracking objects falling into the same tracking door to obtain the multi-target tracking results. The simulation results show that the proposed method has high accuracy and short tracking time. © 2023, Aracne Editrice. All rights reserved.