Vehicle type recognition and tracking method and system based on monitoring video

Abstract

The invention proposes a vehicle type recognition and tracking method and system based on a monitoring video, and the method comprises the steps: A, background modeling and foreground detection: enabling a relatively static part in a video sequence to serve as the background and to be separated from the foreground comprising a moving object; B, vehicle image feature extraction: extracting local feature descriptors in images, and employing an SIFT feature descriptor because the method can describe the content and features of the images better, thereby enabling the image noise and affine changes to be stable to some extent; C, vehicle image feature coding: enabling the local feature descriptors with different numbers to be coded as the fixed-length vectors, so as to adapt to the input of a classifier; D, vehicle image recognition: selecting and designing an appropriate classifier for the classification of the characteristic vectors of the images, thereby finally achieving the recognition purpose; E, vehicle image tracking: tracking a recognition image region with one vehicle type being recognized, thereby avoiding the repeated foreground detection and recognition, and improving the operation speed of the system.

Description

technical field [0001] The invention belongs to the field of image recognition, and in particular relates to a surveillance video-based vehicle identification and tracking method and system. The method and system use local feature descriptors as the most original input. Background technique [0002] Intelligent Transportation System (Intelligent Transportation System, ITS) is the comprehensive use of information technology, communication technology and computer technology to carry out all-round, efficient, real-time and accurate monitoring of transportation. It was proposed in the 1980s and was originally used in vehicle diversion systems. With the rapid development of social economy and urbanization, people's living income level has been significantly improved, and private cars have gradually become an essential tool for travel. This puts pressure on traffic management. There are more and more traffic accidents such as rear-end collisions, overtaking, and running red light...

AI Technical Summary

Problems solved by technology

Another defect in the image processing algorithm is also an important bottleneck in the development of vehicle identification based on surveillance video

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