Computer Science ›› 2016, Vol. 43 ›› Issue (8): 300-303.doi: 10.11896/j.issn.1002-137X.2016.08.061

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Gait Recognition Method Based on Modified Gait Energy Image and View Detection

LI Jing, ZHANG Jing and NI Jun   

  • Online:2018-12-01 Published:2018-12-01

Abstract: For solving the problem that the variety of view,clothing and carried objects influence the performance of gait recognition,a gait recognition method based on modified gait energy image and view detection was proposed.Firstly,the method modifies the gait energy image,to reduce the impacts from variety of clothing and carried objects.Then,it extracts entropy features from modified gait energy image,and detects the view of unknown gait sequence according to nearest neighbor criterion.Finally,it extracts gait features by combining two-dimensional principal component analysis and two-dimensional linear discriminannt analysis,and executes classification by using nearest neighbor criterion,to reduce the impacts from view variety.Experiments implemented on CASIA B dataset show that,the new method has a high average recognition rate,and is robust to the variety of view,clothing and carried objects.

Key words: Gait recognition,Gait energy image,View,Entropy,Nearest neighbor,Principal component analysis,Linear discriminate analysis

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