Vehicle behavior analysis method and device, and computer readable storage medium

Abstract

The invention relates to an image detection technology, and discloses a vehicle behavior analysis method and device, and a computer readable storage medium. The method comprises the steps of: obtaining a driving track of a vehicle in a monitoring image road of a monitoring video; counting the occurrence frequency of the driving track of the vehicle in each point in the monitoring image road in a first time period; screening out vehicle track points meeting the driving requirements in a specified lane line; calculating a boundary area of vehicle driving, and obtaining the road area of vehicle driving; obtaining an initial lane line; analyzing the vehicle track points in the initial lane line area to obtain an initial lane line area, the initial lane line area being located between the two lane track point areas; reserving straight line segments of the initial lane line in the initial lane line area, and counting the straight line segments in all directions to obtain all lane lines in the initial lane line area; and based on all lane lines in the initial lane line area, determining the abnormal driving behavior of the vehicle according to the driving track of the vehicle.

Description

technical field [0001] The present invention relates to the field of vehicle driving, in particular to a vehicle behavior analysis method, device and computer-readable storage medium. Background technique [0002] Traffic congestion and frequent accidents are currently plaguing people in our country and the world, and have become a major social hazard. In recent years, the number of vehicles in our country has increased sharply, but road traffic management is relatively lagging behind, and the traffic accidents that follow are also increasing rapidly. Therefore, there is an urgent need for powerful traffic monitoring methods. Although many cities have already used video surveillance, there is a lack of effective automatic incident detection methods. [0003] Existing abnormal vehicle behavior analysis is mainly concentrated at the traffic lights, and the gun camera facing the road is mainly used to collect evidence of traffic violations, and it is impossible to call a wide r...

AI Technical Summary

Problems solved by technology

[0002] Traffic congestion and frequent accidents are currently plaguing people in our country and the world. It has become a major social hazard. In recent years, the number of vehicles in our country has increased sharply, but road traffic management is relatively lagging behind, and the traffic accidents that follow are also increasing rapidly. Therefore, there is an urgent need for powerful traffic monitoring methods. Although many cities have already used video surveillance, there is a lack of effective automatic incident detection methods.

[0003] The existing abnormal behavior analysis of vehicles is mainly concentrated at the traffic lights, and the gun camera facing the road is mainly used to collect evidence of traffic violations, and it is impossible to call a wide range of roadside cameras for evidence collection; in addition, for some roads, the lane line The judgment of vehicle behavior after being occluded will be abnormal

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