Video monitoring system and real-time gait recognition method

Abstract

The invention provides a video monitoring system and a real-time gait recognition method. In the process of image preprocessing, an extracted binary contour image is cut according to the minimum bounding rectangle thereof, and the image is scaled according to the maximum image height of all the image frames under the condition that the aspect ratio is kept unchanged. Therefore, all the preprocessed image frames are consistent in height, the aspect ratio before and after image processing is the same, and gait feature extraction is easier. According to the gait recognition method, both the static and dynamic characteristics of human gait are taken into account, the centroid height, the stride and the change rate of angular distance of the lower limb contour are extracted as gait features, and the gait differences of different individuals are comprehensively reflected. Through the method, the video monitoring system shortens the recognition time on the basis of ensuring high recognition rate. Moreover, the video monitoring system has better robustness to the clothing change of users, and is especially suitable for real-time user identity recognition in a video monitoring environment.

Description

technical field [0001] The invention relates to the field of pattern recognition of video surveillance, in particular to a video surveillance system and a real-time gait recognition method thereof. Background technique [0002] With the development of computer science and technology and the progress of human society, people's awareness of safety precautions in life, work, travel, etc. has gradually increased. How to ensure social safety has become the most serious problem facing people today. Today, as an effective way to protect people's lives and property safety, biometric recognition technologies such as face recognition, voice recognition, and iris recognition are more and more widely used. Nevertheless, since criminals can use various camouflage methods to hinder the collection of these biometrics, so that the recognition accuracy of these technologies is greatly reduced. In addition, these technologies also have shortcomings such as tampering, high requirements for th...

AI Technical Summary

Problems solved by technology

[0004] At present, although the existing gait recognition methods have achieved good recognition results, they are still unsatisfactory in practical applications; many methods are obtained by sacrificing the recognition time, so that the recognition takes a long time. There is still a certain gap with the real-time identification required by the video surveillance system

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