Maximisation of mutual information for gait-based soft biometric classification using Gabor features

IET Biometrics

Volumn 1, Issue 1, 2012, Pages 55-62

  Hu, M ^a   Wang, Y ^a   Zhang, Z ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES RULE; BENCHMARK DATABASE; CLASSIFICATION ACCURACY; GABOR FEATURE; GAIT PATTERN; HIDDEN MARKOV MODELS (HMMS); INTERMEDIATE RESULTS; MANY-TO-ONE; MULTI-VIEWS; MUTUAL INFORMATIONS; SOFT BIOMETRICS;

BENCHMARKING; HIDDEN MARKOV MODELS;

BIOMETRICS;

EID: 84866640924     PISSN: 20474938     EISSN: 20474946     Source Type: Journal    
DOI: 10.1049/iet-bmt.2011.0004     Document Type: Article

References (37)

1. Lyle, J.R., Miller, P.E., Pundlik, S.J., and Woodard, D.L.: ' Soft biometric classification using periocular region features ', Proc. Int. Conf. on Biometrics: Theory, Application and System, 2010, p. 1-7
2. Hadid, A., and Pietikainen, M.: ' Manifold learning for gender classification from face sequences ', Proc. IAPR/IEEE Int. Conf. on Biometrics, 2009, p. 82-91
3. Qiu, H., Liu, W.-Q., and Lai, J.-H.: ' Gender recognition via locality preserving tensor analysis on face images ', Proc. Asian Conf. on Computer Vision and Pattern Recognition, 2010, 5996, p. 601-610
4. Liu, Z., and Sarkar, S.: ' Improved gait recognition by gait dynamics normalization ', IEEE Trans. Pattern Anal. Mach. Intell., 2006, 28, p. 863-876 10.1109/TPAMI.2006.122 0162-8828
5. Cheng, M.H., Ho, M.F., and Huang, C.-L.: ' Gait analysis for human identification through manifold learning and HMM ', Pattern Recognit., 2008, 41, p. 2541-2553 10.1016/j.patcog.2007.11.021 0031-3203
6. Kim, D., and Paik, J.: ' Gait recognition using active shape model and motion prediction ', IET Comput. Vis., 2009, 4, p. 25-36 10.1049/iet-cvi.2009. 0009
7. Jean, F., Albu, A.B., and Bergevin, R.: ' Towards view-invariant gait modeling: computing view-normalized body part trajectories ', Pattern Recognit., 2009, 42, p. 2936-2949 10.1016/j.patcog.2009.05.006 0031-3203
8. Goffredo, M., Bouchrika, I., Carter, J.N., and Nixon, M.S.: ' Self-calibrating view-invariant gait biometrics ', IEEE Trans. Syst., Man Cybern. B, 2010, 40, p. 997-1008 10.1109/TSMCB.2009.2031091 1083-4419
9. Kusakunniran, W., Wu, Q., Zhang, J., and Li, H.: ' Support vector regression for multi-view gait recognition based on local motion feature selection ', IEEE Proc. on Computer Vision and Pattern Recognition, 2010, p. 974-981
10. Lee, L., and Grimson, W.E.L.: ' Gait analysis for recognition and classification ', Proc. IEEE Int. Conf. on Automatic Face and Gesture Recognition, 2002, p. 148-155
11. Huang, G., and Wang, Y.: ' Gender classification based on fusion of multi-view gait sequences ', Proc. Asian Conf. on Computer Vision, 2007, p. 462-471
12. Li, X., Maybank, S.J., Yan, S., Tao, D., and Xu, D.: ' Gait components and their application to gender recognition ', IEEE Trans. Syst. Man Cybern. C, 2008, 38, p. 145-155 10.1109/TSMCC.2007.913886
13. Yu, S., Tan, T., Huang, K., Jia, K., and Wu, X.: ' A study on gait-based gender classification ', IEEE Trans. Image Process., 2009, 18, p. 1905-1910 10.1109/TIP.2009.2020535 1057-7149
14. Hu, M., Wang, Y., Zhang, Z., and Zhang, D.: ' Gait-based gender classification using mixed conditional random field ', IEEE Trans. Syst. Man Cybern. B, 2011, 41, p. 1429-1439 10.1109/TSMCB.2011.2149518 1083-4419
15. Troje, N.F.: ' Retrieving information from human movement patterns ', Shipley, T.F., Zacks, J.M., Understanding events: how humans see, represent, and act on events, (Oxford University Press, 2008), p. 308-334
16. Zhang, D., and Wang, Y.: ' Gender recognition based on fusion of face and gait information ', Proc. IEEE Int. Conf. on Machine Learning and Cybernetics, 2008, p. 62-67
17. Makihara, Y., Sagawa, R., Mukaigawa, Y., Echigo, T., and Yagi, Y.: ' Gait recognition using a view transformation model in the frequency domain ', Proc. European Conf. on Computer Vision, 2006, p. 151-163
18. Kusakunniran, W., Wu, Q., Li, H., and Zhang, J.: ' Multiple views gait recognition using view transformation model based on optimized gait energy image ', Proc. IEEE Int. Conf. on Computer Vision Workshop, 2009, p. 1058-1064
19. Hu, M., Wang, Y., Zhang, Z., and Zhang, D.: ' Multi-view multi-stance gait identification ', Proc. IEEE Int. Conf. on Image Processing, 2011
20. Zhang, D., and Wang, Y.: ' Investigating the separability of features from different views for gait based gender classification ', Proc. IEEE/IAPR Int. Conf. on Pattern Recognition, 2008, p. 1-4
21. Hu, M., Wang, Y., Zhang, Z., and Wang, Y.: ' Combining spatial and temporal information for gait based gender classification ', Proc. IEEE/IAPR Int. Conf. on Pattern Recognition, August, 2010, p. 3679-3682
22. Liu, C.: ' Gabor-based kernel PCA with fractional power polynomial models for face recognition ', IEEE Trans. Pattern Anal. Mach. Intell., 2004, 26, (5), p. 572-581 10.1109/TPAMI.2004.1273927 0162-8828
23. Belhumeur, P.N., Hespanha, J.P., and Kriegman, D.J.: ' Eigenfaces vs. fisherfaces: recognition using class specific linear projection ', IEEE Trans. Pattern Anal. Mach. Intell., 1997, 7, p. 711-720 10.1109/34.598228 0162-8828
24. Ran, Y., Weiss, I., Zheng, Q., and Davis, L.S.: ' Pedestrian detection via periodic motion analysis ', Int. J. Comput. Vis., 2007, 2, p. 143-160 10.1007/s11263-006-8575-4 0920-5691
25. Gu, J., Ding, X., Wang, S., and Wu, Y.: ' Action and gait recognition from recovered 3-d human joints ', IEEE Trans. Syst. Man, Cybern. B, 2010, 40, p. 1021-1033 10.1109/TSMCB.2010.2043526 1083-4419
26. Boulgouris, N.V., and Chi, Z.X.: ' Gait recognition using radon transform and linear discriminant analysis ', IEEE Trans. Image Process., 2007, 16, p. 857-860 10.1109/TIP.2007.891157 1057-7149
27. Venkat, I., and Wilde, P.D.: ' Robust gait recognition by learning and exploiting sub-gait characteristics ', Int. J. Comput. Vis., 2011, 91, p. 7-23 10.1007/s11263-010-0362-6 0920-5691
28. Kwon, K.S., Park, S.H., Kim, E.Y., and Kim, H.J.: ' Human shape tracking for gait recognition using active contours with mean shift ', Proc. Int. Conf. on Human-Computer Interaction, 2007, p. 690-699
29. Efros, A.A., Berg, A.C., Mori, G., and Malik, J.: ' Recognizing action at a distance ', Proc. IEEE Int. Conf. on Computer Vision, 2003, 2, p. 726-733
30. Little, J., and Boyd, J.: ' Recognizing people by their gait: the shape of motion ', Videre: J. Comput. Vis. Res., 1998, 1, (2), p. 1-45
31. Bashir, K., Xiang, T., and Gong, S.: ' Gait representation using flow fields ', Proc. British Machine. Vision Conf., 2009
32. Bissacco, A., and Soatto, S.: ' Hybrid dynamical models of human motion for the recognition of human gaits ', Int. J. Comput. Vis., 2009, 85, (1), p. 101-114 10.1007/s11263-009-0248-7 0920-5691
33. Tao, D., Li, X., Wu, X., and Maybank, S.J.: ' General tensor discriminant analysis and gabor features for gait recognition ', IEEE Trans. Pattern Anal. Mach. Intell., 2007, 29, p. 1700-1715 10.1109/TPAMI.2007.1096 0162-8828
34. Weinman, J.J., Learned-Miller, E., and Hanson, A.R.: ' Scene text recognition using similarity and a lexicon with sparse belief propagation ', IEEE Trans. Pattern Anal. Mach. Intell., 2009, 31, p. 1733-1746 10.1109/TPAMI.2009.38 0162-8828
35. Torkkola, K.: ' Feature extraction by non-parametric mutual information maximization ', J. Mach. Learn. Res., 2003, 3, p. 1415-1438 1532-4435
36. Rabiner, L.R.: ' A tutorial on hidden markov models and selected applications in speech recognition ', Proc. IEEE, 1988, 77, p. 1169-1179 10.1109/5.18626 0018-9219
37. Zhang, D., Wang, Y., and Bhanu, B.: ' Age classification based on gait using HMM ', Proc. IEEE/IAPR Int. Conf. on Pattern Recognition, 2010, p. 1-4