Urban traffic accident detection method

Abstract

The invention discloses an urban traffic accident detection method. Corresponding moving direction diagrams are built for all frames of video images through optical flow information of a moving object is extracted from a traffic video stream, a traffic monitoring video stream is converted into a moving direction diagram energy sequence through calculating the energy of the moving direction diagram, and whether a traffic accident occurs in the video stream is determined through detecting whether sudden energy increase occurs in the moving direction diagram on a timer shaft. By adopting the method, the characteristic that the local moving direction of at least one moving object suddenly changes in case of collision between moving objects in a traffic accident is utilized to calculate the energy of the moving direction diagram through building the moving direction diagram, and the fluctuation of energy of the moving direction diagram is monitored on the timer shaft to detect traffic accidents, therefore, on one hand, the detection complexity is lowered, and on the other hand, the detection stability and adaptability are improved.

Description

technical field [0001] The invention belongs to the technical field of video monitoring, and in particular relates to a method for detecting urban traffic accidents. Background technique [0002] With the development of the economy, the number of motor vehicles in major cities is increasing, and the urban traffic environment is deteriorating day by day, which leads to frequent urban road traffic accidents. Urban traffic accidents will not only cause traffic jams and property losses, but more seriously will endanger the lives of citizens and cause irreparable losses. In order to enhance the management ability of urban traffic and reduce the loss of people's life and property caused by urban road traffic accidents, major central cities have successively established urban traffic road video monitoring networks covering the city's traffic roads, and real-time urban traffic monitoring networks are carried out through the monitoring network. Monitor and deal with traffic accident...

AI Technical Summary

Problems solved by technology

This method uses foreground detection and object tracking technology to detect traffic accidents. The set rules are relatively simple. For traffic accidents and escapes, there will be missed detections, and for vehicle parking and maintenance, false detections will be performed. It is stable, and the detection threshold is not easy to determine. At the same time, the method based on vehicle tracking is time-consuming, and it is difficult to perform real-time processing of SD video

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