Illegal stall detection method and device

Abstract

The invention provides an illegal stall detection method and device. The method comprises the steps of obtaining a video frame corresponding to a to-be-detected place; performing target detection on the video frame by using the trained detection model to obtain a first stall which is a morphological fixed stall; performing image segmentation on the video frame by using the trained segmentation model, and performing connected domain processing on a segmentation result to obtain a second stall which is a stall with changeable forms; acquiring a pre-configured non-permitted stall area of the to-be-detected place; and regarding the stall in the first stall and the second stall, of which the overlapping area with the stall non-allowing area reaches a set threshold value, as an illegal stall. According to the method, the respective advantages and disadvantages of the detection model and the segmentation model are fully utilized to efficiently detect the illegal stall, so that the labor costcan be reduced, the urban traffic management order can be maintained, real-time reference information can be provided for urban supervision departments, the management is convenient, the stall management efficiency is effectively improved, and the problem of disordered stall arrangement is relieved.

Description

technical field [0001] The present application relates to the field of video image monitoring, in particular to a method and device for detecting illegal stalls. Background technique [0002] Illegal stall operation refers to the behavior of operators occupying public places such as urban roads, bridges and urban squares to buy and sell goods or services for profit. With the continuous development of the city, the conflict of interests between shop operators and residents is constantly escalating. In order to occupy the public road resources of citizens, many shop operators seriously damage the city appearance and business order. The disadvantages of their business behavior are becoming more and more obvious. and rectification tasks are imminent. [0003] The urban management department can monitor illegal stall events through the urban public security dynamic video surveillance system. The urban public security dynamic video surveillance system is aimed at combating and p...

AI Technical Summary

Problems solved by technology

[0004] Most of the current video surveillance systems adopt the traditional manual interpretation method, which requires staff to be on duty day and night in front of the video images, constantly using the naked eye to judge whether there are sudden abnormalities in the video images

This kind of monitoring method has a heavy workload, which will inevitably make the human senses enter a state of fatigue, resulting in missed or false detections of abnormal events.

Moreover, with the increasing number of video monitoring areas, the amount of video data to be processed is far beyond the scope of human interpretation, making it extremely difficult to obtain useful information from massive video data, which cannot meet the needs of real-time video monitoring and alarming

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