A Novel Gait Recognition System Based on Hidden Markov Models-Reference-Cited by-同舟云学术

A Novel Gait Recognition System Based on Hidden Markov Models

Published:2012 Issue: Volume: Page:125-134
ISSN:0302-9743
Container-title:Advances in Visual Computing
language:
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Author:

Kolawole Akintola,Tavakkoli Alireza

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-33191-6_13.pdf

Reference15 articles.

1. Kale, A., Rajagopalan, N., Cuntoor, N., Kruger, V.: Gait-based recognition of humans using continuous hmms. In: Proceedings of the Fifth International Conference on Automatic Face and Gesture Recognition (2002)

2. Bouchrika, I., Nixon, M.: Gait recognition by dynamic cues. In: Proceedings of the International Conference on Pattern Recognition, Tampa, FL (2008)

3. Harris, G., Smith, P.: Human Motion Analysis: Current Applications and Future Directions. IEEE (1996)

4. Katiyar, R., Pathak, V.K.: Clinical gait data analysis based on spatio-temporal features. International International Journal of Computer Science and Information Security 7 (2010)

5. Rohila, N.: Abnormal gait recognition. International Journal on Computer Science and Engineering (2), 1544–1551

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