[1]GAO Haiyan,RUAN Qiuqi.A gait recognition method based on frontview[J].CAAI Transactions on Intelligent Systems,2011,6(2):119-125.
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A gait recognition method based on frontview

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 6 Number of periods: 2011 2 Page number: 119-125 Column: 学术论文—机器感知与模式识别 Public date: 2011-04-25
Title:
A gait recognition method based on frontview
Author(s):
GAO Haiyan;  RUAN Qiuqi
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China
Keywords:
gait recognition;  frontview;  shadow removal;  Fourier descriptors;  gait template
CLC:
TP391.4
DOI:
-
Abstract:
Existing gait recognition methods are usually based on side view sequences; however, in this paper a new method for frontview gait recognition was proposed. First, a method of normalized RGB color space was used for detection and shadow removal and the binary silhouettes were extracted by background subtraction. Then, a special method for cyclic gait analysis based on a front view was performed to extract cyclic key frames. Next, body contours were tracked, and an improved equalangle sampling method was applied to reduce the number of computations. Next, the feature vectors were extracted efficiently. Fourier descriptors as data dimension were reduced, allowing the gait template vectors to be constructed. Finally, recognition was achieved separately by the nearest neighbor classifier NN and the nearest neighbor classifier with respect to the template ENN. Experimental results show that the proposed approach is not only efficient in computing, but also has an encouraging recognition performance in the CASIA database. 
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