Vehicle identification method based on monitoring video

Abstract

The invention discloses a vehicle identification method based on a monitoring video, and belongs to the technical field of traffic control systems, and the method specifically comprises the following steps: building a key vehicle database which stores panoramic image information and dangerous goods sign images of different vehicle types; obtaining monitoring video information of all real-time vehicles; splitting the monitoring video information of the real-time vehicle into a plurality of image frames in sequence, and obtaining the vehicle length and vehicle body characteristics of the real-time vehicle so as to judge whether the real-time vehicle is a key vehicle; comparing the real-time vehicle image with the standard vehicle model image, and identifying the vehicle model of the key vehicle; whether the real-time vehicle is the key vehicle or not is judged by recognizing the vehicle type of the real-time vehicle, and the key vehicle can be quickly and accurately recognized.

Description

technical field [0001] The invention relates to the technical field of traffic control systems, in particular to a vehicle identification method based on surveillance video. Background technique [0002] Key vehicles, also known as two-passenger and one-hazardous vehicles, mainly refer to long-distance coaches engaged in tourism, passenger coaches of more than three categories, and large trucks that transport dangerous chemicals, fireworks and firecrackers, and civilian explosives. Once these vehicles are involved in a traffic accident, the resulting casualties or property losses are relatively large, and the pollution to the environment will also be relatively serious. At the same time, these vehicles are long-distance transportation and commercial vehicles, which can easily lead to fatigue driving and cause traffic accidents. Therefore, these vehicles have become the key control vehicles and the top priority of road traffic safety. [0003] The Chinese invention with pub...

AI Technical Summary

Problems solved by technology

Once these vehicles have a traffic accident, the casualties or property losses will be relatively large, and the pollution to the environment will be relatively serious.

At the same time, these vehicles are long-distance transport and commercial vehicles, which can easily lead to fatigue driving and traffic accidents

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