Hierarchical and multi-featured fusion for effective gait recognition under variable scenarios-Reference-Cited by-同舟云学术

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Hierarchical and multi-featured fusion for effective gait recognition under variable scenarios

Published:2015-03-26 Issue:4 Volume:19 Page:905-917
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Chai Yanmei,Ren Jie,Zhao Huimin,Li Yang,Ren Jinchang,Murray Paul

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-015-0471-5.pdf

Reference34 articles.

1. Choudhury DS, Tjahjadi T (2013) Gait recognition based on shape and motion analysis of silhouette contours. Comput Vis Image Underst 117(12):1770–1785

2. Dadashi F, Araabi BN, Soltanian-Zadeh H (2009) Gait recognition using Wavelet packet silhouette representation and transductive support vector machines. In: Proceedings of the 2nd international congress on image and signal processing, pp 1–5

3. Ichino M, Kasahara H, Yoshii H et al (2013) A study on gait recognition using LPC cepstrum for mobile terminal. In: Proceedings of the IEEE/ACIS 12th international conference on computer and information science, pp 11–16

4. Hayfron-Acquah JB, Nixon MS, Carter JN (2003) Automatic gait recognition by symmetry analysis. Pattern Recognit Lett 24(13):2175–2183

5. Cunado D, Nixon MS, Carter JN (2003) Automatic extraction and description of human gait models for recognition purposes. Comput Vis Image Underst 90(1):1–41

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