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Sensitivity Analysis of Width Representation for Gait Recognition
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 Title & Authors
Sensitivity Analysis of Width Representation for Gait Recognition
Hong, Sungjun; Kim, Euntai;
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 Abstract
In this paper, we discuss a gait representation based on the width of silhouette in terms of discriminative power and robustness against the noise in silhouette image for gait recognition. Its sensitivity to the noise in silhouette image are rigorously analyzed using probabilistic noisy silhouette model. In addition, we develop a gait recognition system using width representation and identify subjects using the decision level fusion based on majority voting. Experiments on CASIA gait dataset A and the SOTON gait database demonstrate the recognition performance with respect to the noise level added to the silhouette image.
 Keywords
Gait recognition;Biometrics;Human identification;Width vector;Sensitivity analysis;
 Language
English
 Cited by
 References
1.
M. H. Cheng, M. F. Ho, and C. L. Huang, "Gait analysis for human identification through manifold learning and HMM," Pattern Recognition, vol. 41, no. 8, pp. 2541-2553, 2008. http://dx.doi.org/10.1016/j.patcog.2007.11.021 crossref(new window)

2.
N. V. Boulgouris, D. Hatzinakos, and K. N. Plataniotis, "Gait recognition: a challenging signal processing technology for biometric identification," IEEE Signal Processing Magazine, vol. 22, no. 6, pp. 78-90, 2005. http://dx.doi.org/10.1109/MSP.2005.1550191 crossref(new window)

3.
A. Y. Johnson and A. F. Bobick, "A multi-view method for gait recognition using static body parameters," in Proceedings of 3rd International Conference on Audio- and Video-Based Biometric Person Authentication, Halmstad, Sweden, 2001, pp. 301-311. http://dx.doi.org/10.1007/3-540-45344-X 44

4.
L. Lee and W. E. L. Grimson, "Gait analysis for recognition and classification," in Proceedings of 5th IEEE International Conference on Automatic Face and Gesture Recognition, Washington, DC, 2002, pp. 148-155. http://dx.doi.org/10.1109/AFGR.2002.1004148

5.
D. K. Wagg and M. S. Nixon, "On automated modelbased extraction and analysis of gait," in Proceedings of 6th IEEE International Conference on Automatic Face and Gesture Recognition, Seoul, Korea, 2004, pp. 11-16. http://dx.doi.org/10.1109/AFGR.2004.1301502

6.
J. Man and B. Bhanu, "Individual recognition using gait energy image," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 2, pp. 316-322, 2006. http://dx.doi.org/10.1109/TPAMI.2006.38 crossref(new window)

7.
X. Yang, Y. Zhou, T. Zhang, G. Shu, and J. Yang, "Gait recognition based on dynamic region analysis," Signal Processing, vol. 88, no. 9, pp. 2350-2356, 2008. http://dx.doi.org/10.1016/j.sigpro.2008.03.006 crossref(new window)

8.
X. Li, S. J. Maybank, S. Yan, D. Tao, and D. Xu, "Gait components and their application to gender recognition," IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 38, no. 2, pp. 145-155, 2008. http://dx.doi.org/10.1109/TSMCC.2007.913886 crossref(new window)

9.
L. Wang, T. Tan, H. Ning, and W. Hu, "Silhouette analysis-based gait recognition for human identification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 12, pp. 1505-1518, 2003. http://dx.doi.org/10.1109/TPAMI.2003.1251144 crossref(new window)

10.
A. Kale, N. Cuntoor, B. Yegnanarayana, A. N. Rajagopalan, and R. Chellappa, "Gait analysis for human identification," in Proceedings of 4th International Conference on Audio- and Video-Based Biometric Person Authentication, Guildford, UK, 2003, pp. 706-714. http://dx.doi.org/10.1007/3-540-44887-X 82

11.
A. Kale, A. Sundaresan, A. N. Rajagopalan, N. P. Cuntoor, A. K. Roy-Chowdhury, V. Kruger, and R. Chellappa, "Identification of humans using gait," IEEE Transactions on Image Processing, vol. 13, no. 9, pp. 1163-1173, 2004. http://dx.doi.org/10.1109/TIP.2004.832865 crossref(new window)

12.
S. Hong, H. Lee, K. A. Toh, and E. Kim, "Gait recognition using multi-bipolarized contour vector," International Journal of Control, Automation, and Systems, vol. 7, no. 5, pp. 799-808, 2009. http://dx.doi.org/10.1007/s12555-009-0512-1 crossref(new window)

13.
Y. X. Liu, R. Collins, and Y. H. Tsin, "Gait sequence analysis using frieze patterns," in Proceedings of 7th Euro-pean Conference on Computer Vision, Copenhagen, Denmark, 2002, pp. 657-671. http://dx.doi.org/10.1007/3-540-47967-8 44

14.
S. Hong, H. Lee, I. F. Nizami, and E. Kim, "A new gait representation for human identification: mass vector," in Proceedings of 2007 2nd IEEE Conference on Industrial Electronics and Applications, Harbin, China, 2007, pp. 669-673. http://dx.doi.org/10.1109/ICIEA.2007.4318491

15.
T. H. W. Lam, K. H. Cheung, and J. N. K. Liu, "Gait flow image: a silhouette-based gait representation for human identification," Pattern Recognition, vol. 44, no. 4, pp. 973-987, 2011. http://dx.doi.org/10.1016/j.patcog.2010.10.011 crossref(new window)

16.
J. D. Shutler, M. G. Grant, M. S. Nixon, and J. N. Carter, "On a large sequence-based human gait database," in Proceedings of the 4th International Conference on Recent Advances in Soft Computing, Nottingham, UK, 2002, pp. 66-71. http://dx.doi.org/10.1007/978-3-540-45240-9_46