Vehicle line-crossing detection method based on intelligent video analysis technology

Abstract

The invention discloses a vehicle line-crossing detection method based on an intelligent video analysis technology. The method comprises the steps that a video monitoring image is preprocessed according to real-time light intensity; an improved three-frame difference algorithm is adopted to detect a vehicle in the video monitoring image; after the position of the vehicle is detected, a motion track of the vehicle is traced; the actual position of a target in a current frame is obtained through continuous iterative calculation, and the motion track of the vehicle is acquired; the result of thelast frame is used as an initial value of the next frame, and loop iteration is continued in this way; and multiple motion tracks of the vehicle are obtained, an appropriate motion track is selected to detect whether a warning line and the track intersect, and whether the vehicle crosses the line is determined. According to the method, the improved three-frame difference method is adopted to quickly detect the target vehicle, the motion tracks of the vehicle are traced through a mean shift algorithm based on kernel density estimation, then whether the vehicle has a line-crossing behavior is determined through the vehicle motion tracks, and the method is high in instantaneity, high in precision and wide in application range.

Description

technical field [0001] The invention belongs to the technical field of video detection, and in particular relates to a vehicle line crossing detection method based on intelligent video analysis technology. Background technique [0002] Vehicle line crossing detection refers to setting warning lines and warning directions in road traffic scenes, detecting vehicle line crossing behavior and generating alarms. It is mainly used in the detection of vehicle crossing behavior in areas such as road lanes, garage entrances, and traffic light intersections. This technology can quickly detect and identify abnormal vehicle behavior, and provide abnormal warnings or guidance, which can greatly reduce the occurrence of traffic accidents Rate. In the past, vehicle crossing detection technology was often implemented by monitoring personnel to monitor road video in real time or using ground sensing coils and laser detection systems for direct detection. It is often only applicable to speci...

AI Technical Summary

Problems solved by technology

The common vehicle detection technology implemented by convolutional neural network has high accuracy but often has a large amount of calculation, and it is difficult to detect cross-line behavior in real time.

Or a vehicle tracking algorithm based on the target outline, which has strong anti-light transformation characteristics, but poor anti-noise ability and is susceptible to scene interference

In addition, the existing methods generally have problems such as high cost, large amount of calculation, and susceptibility to scene interference.

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