Method for acquiring people flow on the basis of video sequence

Abstract

The invention relates to a method for acquiring a people flow on the basis of a video sequence and belongs to the technical field of image processing and video monitoring. The method comprises the following steps of: 1), acquiring a video and obtaining the video sequence by means of sampling; 2) performing coarse detection by using a candidate area detection module so as to obtain candidate target areas; 3) further screening the candidate target areas by using a convolutional neural network based on transfer learning and a support vector machine classifier model so as to obtain a detection target; 4) restricting a candidate target range to be associated according to track prediction; 5) associating target tracks by means of feature matching; and 6) acquiring the people flow by means of track information. The method saves a large number of human resources, prevents error statistics duo to man-made factors, well overcomes the disadvantages of manual counting in some cases, and may accurately locate a single pedestrian in order to provide great significance for subsequent analysis.

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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