Model-Based Human Gait Recognition Via Deterministic Learning-Reference-Cited by-同舟云学术

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Model-Based Human Gait Recognition Via Deterministic Learning

Published:2013-06-07 Issue:2 Volume:6 Page:218-229
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Zeng Wei,Wang Cong,Li Yuanqing

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s12559-013-9221-4.pdf

Reference41 articles.

1. Murase H, Sakai R. Moving object recognition in eigenspace representation: gait analysis and lip reading. Pattern Recognit Lett. 1996;17(2):155–62.

2. Little JJ, Boyd JE. Recognizing people by their gait: the shape of motion. Videre: J Comput Vis Res. 1998;1(2):83–105.

3. Boulgouris NV, Hatzinakos D, Plataniotis KN. Gait recognition: a challenging signal processing technology for biometric identification. IEEE Signal Proc Mag. 2005;22(6):78–90.

4. Han J, Bhanu B. Individual recognition using gait energy image. IEEE Trans Pattern Anal Mach Intell. 2006;28(2):316–22.

5. Yoo JH, Nixon MS. Automated markerless analysis of human gait motion for recognition and classification. ETRI J. 2011;33(2):259–66.

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