Regional people stream density estimation method based on pixels and support vector machine (SVM)

Abstract

A regional people stream density estimation method based on pixels and a support vector machine (VCM) is characterized by comprising the following steps: extracting a background from a video to be processed; performing background subtraction and binary calculations on a target image, counting the number of non-zero pixel values, and judging and performing background updating; computing a perspective correction coefficient with a perspective correction algorithm based on interpolation weight, and improving effect from perspective distortion to the algorithm; counting the number of the pixels after being corrected through the perspective correction coefficient; using a pixel-based method to estimate a people stream density when the number of the pixels is smaller than the number of normal people stream density pixels; and graying the target image when the number of the pixels is larger than the number of the normal people stream pixels, and extracting texture information of the target image and recognizing the target image by categories with the VCM so as to estimate a people stream density. The regional people stream density estimation method based on the pixels and the VCM can be used for people stream density monitoring in a region with a larger area, and has the advantages of being fast, convenient, accurate, reliable, and capable of timely providing a decision-making basis for an administrative department.

Description

technical field [0001] The invention relates to a method for counting people in public places, in particular to a method for mainly using images to count people, in particular to a method for estimating the density of people in a region based on pixels and a support vector machine. Background technique [0002] At present, with the development of society, various social activities of the crowd (such as gatherings, exhibitions, lantern appreciation activities, etc.) are becoming more and more frequent. How to effectively manage the crowds in these places to ensure the safety of the crowd has become an urgent problem to be solved. question. Among the previous detection methods of crowd density, there are sensing carpets, systems and monitoring methods for monitoring crowd density in public places. This method provides a sensing carpet, system and monitoring method for crowd density monitoring in public places. As a sensing device for the flow density of people, the sensor car...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the existing carpet type detection device has a small range of use and is greatly affected by the site, and invents a video collected by the cameras of various scenic spots and intersections, and through computer real-time video analysis technology. The platform provides real-time crowd density estimation, and can monitor the crowd density in large areas. The method of regional crowd density estimation based on pixels and support vector machines

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