Intelligent analysis method of store people stream track on the basis of surveillance video

Abstract

The invention provides an intelligent analysis method of a store people stream track on the basis of a surveillance video. A user selects one source video, adopts the intelligent analysis method of the store people stream track on the basis of the surveillance video to carry out the intelligent analysis of the people stream track on the video, draws the information of the people stream track into an image which takes the video as a background and stores the image, and the user can check the image to intuitively obtain the people stream track information of the video. The intelligent analysis method only aims at the surveillance video of which the video scene is not changed, and can carry out intelligent analysis on the video under a situation that additional characteristic information or video data does not need to be input to obtain the data information of the obtained people stream track, and the user can directly quickly find the data information in which the user is interested from an analyzed image result, wherein the data information comprises the track distribution and the main staying area of store customers and the average staying time, the people stream amount, the people stream path and the like of the store customers in the area.

Description

technical field [0001] The invention relates to the field of computer intelligent monitoring video processing, in particular to a method for intelligently analyzing store flow tracks based on monitoring video. Background technique [0002] In the rapid development of modern society, issues such as personal safety, public safety and property safety have attracted more and more attention and attention. Driven by these factors, people's demand for video surveillance systems has also emerged as the times require. Before the emergence of intelligent video analysis technology, human surveillance systems have always had problems such as slow response speed, high false negative rate, poor reliability, and low data utilization. Not only that, but as the application monitoring system becomes larger and more and more videos need to be analyzed, the cost of manual monitoring becomes more expensive and unrealistic. With the advent of the big data era, intelligent video analysis technolo...

AI Technical Summary

Problems solved by technology

[0003] In the commercial field, in the face of massive surveillance video data, it is cumbersome and difficult to manually count the number of people appearing in the surveillance video and record the movement trajectories of customers appearing in it, which wastes a lot of human resources. and time resources, and at the same time it is difficult to guarantee the correctness of the data collected manually

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