A Method of People Flow Statistics Based on Video Sequence

Abstract

The invention relates to a method for counting people flow based on a video sequence, and belongs to the technical field of image processing and video monitoring. The method includes the following steps: 1) acquire video, and obtain the video sequence by sampling; 2) obtain the candidate target area through rough detection by the candidate area detection module; 3) use the convolutional neural network + support vector machine classifier model based on migration learning The candidate area is further screened to obtain the detection target; 4) The range of candidate targets to be associated is limited according to the track prediction; 5) The target track association is carried out through feature matching; 6) The flow of people is counted by using the track information. This method can save a lot of human resources, and avoid the wrong statistics caused by human factors. At the same time, it can well overcome the counting disadvantages of manual counting in some scenarios, and this method can accurately locate a single pedestrian, which will provide follow-up Analytical work brings great significance.

Description

technical field [0001] The invention belongs to the technical field of image processing and video monitoring, and relates to a method for counting people flow based on video sequences. Background technique [0002] As human wisdom continues to promote the rapid development of science and technology, various smart devices are also improving and improving day by day, and smart technology is therefore constantly affecting and changing people's learning, living and working methods. As a part of people's study and life, image processing and video surveillance systems, which have been widely used in various aspects, have played an indelible role. As a counting system for evaluating the flow of people in certain directions in a certain scene, the people counting system plays a very important role in practical life applications. For example, by automatically counting the number of people entering and leaving the classroom, not only can the attendance rate of each subject be inspect...

AI Technical Summary

Problems solved by technology

[0003] However, the traditional manual counting method will not only consume a lot of human resources, but also may cause wrong statistics due to various factors, especially for those people who enter and exit dense places, making manual counting more difficult, while the automatic people counting system can solve the above problems, bring great convenience to study and life, and improve the quality of life

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