Traffic law violation dynamic identification method and system

Abstract

The invention discloses a traffic law violation dynamic identification method and system. The method includes the following steps that: images are acquired, and are cached for a predetermined duration; an identification target is determined from the images, and a target identification instruction is generated; the target identification instruction is issued to identify a target feature and/or target behavior; a target tracing instruction is issued to trace a past target behavior based on the cached images; and/or a target tracking instruction is issued to capture an image tracking-post targetbehavior. According to the method of the invention, road monitoring images are viewed in real time through an image acquisition device; vehicles conducting illegal behaviors are automatically trackedthrough the image acquisition device; evidences of the illegal behaviors of the vehicles can be automatically collected through the image acquisition device; and therefore, the complexity of traditional traffic law violation manual image capture and evidence collection can be simplified, the problem of the desynchrony of control signal responses and monitoring images can be fundamentally can be solved, and the efficiency of evidence collection can be improved.

Description

technical field [0001] The invention relates to the field of intelligent traffic monitoring, in particular to a method and system for dynamic identification of traffic violations. Background technique [0002] In the prior art, traditional traffic violations are usually captured by a manual capture system. Specifically, the manual capture system relies on the manual operation of the joystick and keyboard to track the illegal movement of the vehicle through the control of the front-end monitoring dome head rotation; by controlling the focus of the lens and zooming in, the vehicle can be seen clearly Number plate, so as to realize the complete record of traffic violation process. [0003] However, the existing technology has the following defects: the entire forensic collection process of the manual capture system requires manual intervention throughout the entire process, resulting in high complexity of forensics, and the effect of forensics is completely dependent on the pe...

AI Technical Summary

Problems solved by technology

[0003] However, the existing technology has the following defects: the entire forensics process of the manual capture system requires manual intervention, resulting in high complexity of forensics, and the effect of forensics is completely dependent on the personal technical capabilities of business personnel

[0004] In addition, in terms of technical implementation, the traditional manual capture system has an unsolvable contradiction of "the control signal response and the monitoring image cannot be coordinated and synchronized". The time-consuming transmission can basically be ignored, while the video image signal needs to go through long-distance transmission and video data encoding, which takes at least more than 100ms

For example, when the target vehicle is found and identified, if the dome camera is manually controlled to track the target vehicle, it will often occur that the dome camera cannot keep up with the target vehicle or the dome camera rotates too fast and passes the target vehicle's field of view, etc., eventually leading to "control Signal response and surveillance imagery are out of sync"

[0005] Based on the above analysis, the traditional traffic violation manual capture system has a poor supervision effect on vehicle violations and cannot effectively curb the occurrence of traffic violations

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