Method and system for recognizing video images of motion states of vehicles in expressway tunnel

Abstract

The invention discloses a method and system for recognizing video images of motion states of vehicles in an expressway tunnel. The method comprises the following steps: carrying out partition on a video image of a vehicle moving object based on background modeling, and respectively carrying out extraction on multiple features of the vehicle image, wherein the features include a texture feature, a geometric feature and an edge feature; constructing a neural network topology architecture as a base classifier by using the extracted multiple features; carrying out integration on the base classifier by using an Adaboost method so as to form a strong classifier; carrying out vehicle image recognition through the strong classifier; and when the existence of a parking state is recognized, sending a signal to a video monitoring center, automatically switching the monitoring center to monitor the image, starting an intra-tunnel parking state alarm, and releasing a notice to the outside of a tunnel. According to the invention, the hazardous state of vehicle parking in the tunnel can be intelligently recognized by using images transmitted from a video surveillance camera back to the monitoring center, and an alarm is made in time, thereby improving the automation level of the management of the expressway tunnel.

Description

technical field [0001] The invention relates to image processing, in particular to a video image recognition method and system for vehicle motion states in expressway tunnels. Background technique [0002] Due to its low cost and easy implementation, video image vehicle recognition has gradually become a hot spot in highway management applications. At present, the vehicle identification system can basically meet the basic functional requirements of intelligent transportation systems such as traffic statistics and overspeed detection. However, in some specific places on the highway (such as tunnels), there are still many deficiencies in the accuracy and false alarm rate of vehicle recognition through video images and the application level of this technology, and there are still many theoretical and technical problems that have not been resolved. . [0003] There have been many reports at home and abroad about major traffic accidents caused by vehicle breakdowns, accidents o...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a method and system for video image recognition of vehicle motion status in expressway tunnels in view of the defects of insufficient feature description ability and unsatisfactory recognition performance in the prior art using single-class features

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