A real-time detection method of track occupancy phenomenon based on digital image processing

Abstract

The invention discloses a real-time detection method of track occupying phenomenon based on digital image processing, which comprises the following steps: selecting a background image and converting the background image into a gray scale image; extracting video frames from the real-time monitoring video and buffering the video frames; The corridor of the gray image of the background image is takenas the region of interest and the non-region of interest of the background image is shielded by a mask. The background image is used to extract the foreground of the video frame without updating theGaussian mixture model, and the binary foreground image is saved. The binary foreground image is detected and fused to obtain the fused foreground image. denoising is performed on the image after theforeground fusion to obtain a denoised binary foreground map; The denoised binary foreground map obtained in the previous step is labeled in the real-time image frame to predict and warn. the method can make real-time and accurate positioning of the existence of road occupying information, liberate the labor force, reduce the input of personnel, and increase work efficiency.

Description

technical field [0001] The invention relates to the technical field of road detection, in particular to a method for real-time detection of road occupation based on digital image processing. Background technique [0002] Digital Image Processing (Digital Image Processing) is a method and technology for image removal, enhancement, restoration, segmentation, and feature extraction through computers. Digital image processing first appeared in the 1950s, when electronic computers had developed to a certain level, and people began to use computers to process graphics and image information. Digital image processing as a discipline was formed in the early 1960s. With the application of video surveillance systems, it has basically covered all aspects of people's lives and work. Numerous cameras are used to collect data and monitor suspicious persons and events. and behavior. Government agencies, schools, hospitals, companies, and even various supermarkets and farmers' markets have...

AI Technical Summary

Problems solved by technology

At present, the use of digital image processing technology to detect road-occupancy business phenomena in farmers' markets and other scenes is still in a blank stage.

[0004] At present, in supermarkets, farmer's markets, or vegetable markets, there are problems such as setting up stalls or blocking the sidewalks and aisles with items occupying the road, or small vendors setting up stalls on the sidewalk and operating illegally.

In real life, these phenomena are usually monitored by video for supermarket managers, market security or city management committees, or dealt with on-site patrols. In a scene with a large flow of people, once there is an occupation of the road, manual labor cannot be found in the first place and dealt with in a timely manner

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