A Gait Recognition Method Based on Optical Flow Field

Abstract

The invention discloses a gait recognition method based on the optical flow field, which obtains the gait optical flow field and detects the gait cycle according to the individual gait contour image sequence, and multiple gait cycles in the gait contour image sequence The individual gait optical flow fields are superimposed to obtain the individual gait optical flow map, and the horizontal component and vector of the gait optical flow map line optical flow of each gait optical flow map of the individual, and the line light flow of the gait optical flow map are extracted. The four gait feature vectors are the longitudinal component and vector of the flow, the horizontal component and vector of the optical flow of the gait optical flow diagram, and the longitudinal component and vector of the optical flow of the gait optical flow diagram. The above four gait feature vectors of the test individual are matched with the corresponding four gait feature vectors of the training individual in the gait database, and the test individual is identified in the gait database. The invention decomposes the optical flow components to obtain the gait features to identify the identity, can well extract the gait movement information in the process of people walking, and has strong robustness to clothing, carrying objects and the like.

Description

technical field [0001] The invention relates to the technical field of gait recognition, in particular to a gait recognition method based on an optical flow field. Background technique [0002] Gait recognition is an emerging field in biometric technology that aims to identify individuals based on how they walk. Early medical research proved that gait is unique, and it was found through experiments that humans can identify people based on gait. In recent years, with the advancement of computer vision research technology, it has become possible to use computer vision technology to analyze and identify human gait. As a recognition feature, gait has the following advantages: non-invasive, non-obsessive, and low definition requirements , difficult to hide and fake, easy to collect, and capable of long-distance perception, etc. These advantages of gait recognition make it have great application value in the field of intelligent video surveillance, and it has more advantages tha...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, and provide a gait recognition method based on the optical flow field. It has strong robustness and effectively solves the problem of insufficient gait feature extraction and low representativeness in the existing gait recognition technology.

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