Traffic accident automatic identification processing method and system based on videos

Abstract

The invention discloses a traffic accident automatic identification processing method and system based on videos. The traffic accident automatic identification processing method and system based on the videos comprises the steps of respectively setting up three-dimensional feature libraries of different vehicle types, obtaining road video image sequences, carrying out foreground vehicle separation based on background modeling, carrying out static target judgment based on target centroid displacement, recognizing the vehicle types based on a vehicle outer contour recognition algorithm of three-dimensional modeling, judging whether a traffic accident occurs or not according to whether contour deformation occurs or not, extracting improved SIFT feature points of the vehicles based on an improved SIFT feature recognition algorithm of vehicles of the three-dimensional modeling, and judging whether a traffic accident occurs or not according to comparison results of the improved SIFT feature points. The traffic accident automatic identification processing method and system based on the videos judges whether vehicles on a current road are driven safely or not by analyzing images collected by a camera, collects information of a traffic accident scene in first time of a traffic accident, and transfers the information to a commanding monitoring centre. Workers can effectively and timely work by watching the videos, and the traffic accident automatic identification processing method and system based on the videos plays a huge role in perfecting a whole intelligent traffic system.

Description

technical field [0001] The invention relates to the field of intelligent traffic video image monitoring and video image analysis, in particular to a method and system for automatic identification and processing of traffic accidents based on video. Background technique [0002] In recent years, with the rapid development of the national economy and the continuous progress of the society, the roads have extended in all directions, and the number of cars has increased day by day. The traffic problems that follow have become increasingly severe and traffic congestion. How to realize the real-time monitoring, scheduling and control of traffic scenes and establish an effective intelligent transportation system has long been the focus of attention at home and abroad and a problem to be solved urgently. In this context, the visualized intelligent processing technology based on computer vision and digital image processing provides a more real-time, accurate and efficient method for d...

AI Technical Summary

Problems solved by technology

[0003] At present, there are few researches on automatic identification of traffic accidents based on video in China. The research on traffic accidents mainly includes the following existing technologies: 1. Ring induction coil method. This method is mature and is not affected by weather changes. Car accident estimation is mainly based on the running state of the vehicle; 2. Infrared detection method, this method obtains more parameters, but infrared is susceptible to interference, and it is impossible to distinguish whether the passing object is a vehicle; 3. Ultrasonic detection method, this method has good orientation and reflection Strong ability, but less parameters, greatly affected by temperature and climate

However, the current traffic accident recognition based on video technology only uses simple vehicle speed parameters, which cannot identify traffic accidents well, nor can it achieve real-time alarm

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