Probabilistic combination of static and dynamic gait features for verification

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5779, Issue , 2005, Pages 23-30

  Bazin, Alex I ^a   Nixon, Mark S ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Bayesian; Biometrics; Fusion; Gait; Logistic function; Probabilistic

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; FEATURE EXTRACTION; FUNCTIONS; PROBABILITY;

BAYESIAN; BIOMETRICS; DATA FUSION; LOGISTIC FUSIONS;

GAIT ANALYSIS;

EID: 26444519203     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.602107     Document Type: Conference Paper

References (20)

1. Veres, G.V., et al. What image information is important in silhouette-based gait recognition? in Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition (CVPR 2004). 2004.
2. Wagg, D.K. and M.S. Nixon, Automated markerless extraction of walking people using deformable contour models. Computer Animation and Virtual Worlds, 2004. 15(3): p. 399-406.
3. Wagg, D.K. and M.S. Nixon. On automated model-based extraction and analysis of gait, in Proc. 6th IEEE Int'l Conf. Automatic Face and Gesture Recognition. 2004.
4. Kittler, J., et al., On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998. 20(3): p. 226-239.
5. Benediktsson, J.A. and P.H. Swain, Consensus theoretic classification methods. IEEE Transactions on Systems, Man and Cybernetics, 1992. 22(4): p. 688-704.
6. Daughman, J., Biometric decision landscapes. 1999, University of Cambridge Computer Laboratory.
7. Wang, L., et al., Fusion of static and dynamic body biometrics for gait recognition. IEEE Transactions on Circuits and Systems for Video Technology, 2004. 14(2): p. 149-158.
8. Shakhnarovich, G. and T. Darrell. On probabilistic combination of face and gait cues for identification, in Proc. 5th IEEE Int'l Conf. Automatic Face and Gesture Recognition. 2002. Washington, USA.
9. Cuntoor, N., A. Kale, and R. Chellappa. Combining multiple evidences for gait recognition, in IEEE Int'l Conf. Accoustics, Speech, and Signal Processing (ICASSP 2003). 2003. Hong Kong.
10. Langley, P., W. Iba, and K. Thompson. Analysis of Bayesian classifiers, in National Conf. Artificial Intelligence. 1992. San Jose, USA.
11. Chellappa, R., S. Zhou, and B. Li. Bayesian methods for face recognition from video, in Proc. Int'l Conf. Acoustics, Speech and Signal Processing (CASSP 02). 2002. Orlando, FL, USA: IEEE.
12. Chengjun, L., A Bayesian discriminating features method for face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003. 25(6): p. 725-740.
13. Liu, C. and H. Wechsler. Probabilistic reasoning models for face recognition, in Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition. 1998. Santa Barbara, USA.
14. Moghaddam, B., T. Jebara, and A. Pentland, Bayesian face recognition. Pattern Recognition, 2000. 33(11): p. 1771-1782.
15. Bazin, A.I. and M.S. Nixon. Facial Verification Using Probabilistic Methods, in Proc. British Machine Vision Association Workshop on Biometrics. 2004. London.
16. Shutler, J.D., et al., On a Large Sequence-based Human Gait Database. Proc. Recent Advances in Soft Computing, 2002: p. 66-71.
17. Wagg, D.K. and M.S. Nixon. Model-Based Gait Enrolment in Real-World Imagery, in Proc. Multimodal User Authentication. 2003.
18. Roli, F., G. Fumera, and J. Kittler. Fixed and trained combiners for fusion of imbalanced pattern classifiers, in Proc. 5th Int'l Conf. Information Fusion. 2002. Annapolis, MD, USA: Int. Soc. Inf. Fusion.
19. Beveridge, J.R., et al. Parametric and nonparametric methods for the statistical evaluation of human id algorithms, in Proc. 3rd Workshop on the Empirical Evaluation of Computer Vision Systems. 2001.
20. Hurley, D.J., M.S. Nixon, and J.N. Carter, Force field feature extraction for ear biometrics. Computer Vision and Image Understanding, 2004. Accepted.