Video detection method and system

Abstract

The invention relates to a traffic management system, and discloses a video detection method and system. The video detection method comprises the following steps: performing object feature detection on a virtual loop set in a video image, wherein, the object feature comprises the darkest shadow feature in the front of a vehicle; and when the object feature is detected, triggering a capture signal for capturing. In the invention, stable vehicle information features such as the darkest shadow in the front of the vehicle and the like are taken as an object feature which needs to be detected, thus the capture rate for video detection is effective improved, the missing report rate is lowered, and a more accurate and more robust video detection function is achieved.

Description

technical field [0001] The invention relates to a traffic management system, in particular to video detection technology in the traffic control system. Background technique [0002] With the rapid increase of the number of vehicles in all countries in the world, people pay more and more attention to traffic conditions. How to carry out traffic management effectively has increasingly become the focus of governments and relevant departments all over the world. In response to this problem, various intelligent traffic management systems have been produced or are under development one after another, and the monitoring and punishment of violating vehicles is an extremely important link. [0003] Traditionally, the detection of vehicles violating traffic regulations is mainly realized through induction coils or axle sensors buried underground. However, with the rapid development of video technology and the multiplication of computer computing speed, the realization of traffic mon...

AI Technical Summary

Problems solved by technology

[0008] In the detection method based on vehicle triggering, the method based on moving object detection and tracking needs to detect and track moving objects, in which the effect of object detection and tracking play a decisive role, in more complex scenes In the urban environment (such as urban roads), the tracking effect is difficult to guarantee, because in the urban scene, pedestrians, motor vehicles, electric vehicles and other non-motorized vehicles, vehicles changing lanes, and following vehicles often lead to movement confusion and tracking problems. Unstable; the current relatively simple tracking methods are difficult to achieve better tracking results in complex scenes, and some more complex detection and tracking methods are limited by the amount of calculation and operating efficiency, which has brought greater practicability to them. impact; and in this way, each pixel in the image needs to be modeled and processed based on pixel points, the amount of calculation is large and the operation efficiency is poor. If a high-definition camera is used, the amount of calculation and operation effect will be greatly reduced, thus affecting the product. overall performance of

[0009] Because the license plate-based trigger detection method uses relatively single feature information, it can only achieve better triggering and capture for vehicles with a license plate hanging and a relatively obvious license plate area. "license plate device", etc., for some motorcycles, agricultural vehicles, etc., it is difficult to detect the license plate information well, resulting in an increase in missed triggers and a decrease in capture rate, and there are many false triggers due to interference from the surrounding environment such as the body and the road; Secondly, the reliability of license plate information is greatly affected by the lighting conditions. How to ensure a good imaging effect 24 hours a day is also a relatively difficult thing, so it will also affect the capture rate and false negative rate of video detection.

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