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《Mind and Computation》 2007-04
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Research on Motion Change-Based Gait Recognition Algorithm

WANG Li1 , LI Shao-zi2, SU Song-zhi2 (1. School of Control Science and Engineering, Shandong University, Jinan 250100,China; 2. Intelligent Multimedia Technology Laboratory, Institute of Artificial Intelligence, Department of Computer Science, Xiamen University, Xiamen 361005, China )  
This paper proposes a 8-ellipse human body model, and based on this model a motion change-based gait recognition for human identification is proposed. For any given video sequence, the object human body region will be detected precisely by a method based on Bayes rules and then the body region is divided into eight parts which are fitted by different ellipses, then the human body model can be established. Using the amount of motion change as the feature, which can be gained by subtracting the values of model parameters of the prior frame from the current frame, the comparability measure is achieved by the normalizedMahalanobis Distance or Euclidean Distance. NN and KNN classifiers are used for the human identification. Experimental results demonstrate the higher performance and lower computational complexity.
【Fund】: 福建省自然科學基金(No.2006H0037)
【CateGory Index】: TP391.41
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?2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved
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