Model-based approaches for predicting gait changes over time

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3781 LNCS, Issue , 2005, Pages 213-220

  Veres, Galina V ^a   Nixon, Mark S ^a   Carter, John N ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED BIOMETRICS; BIOMETRIC APPLICATION; TIME-INVARIANT COVARIATES;

COMPUTER APPLICATIONS; DATA ACQUISITION; MATHEMATICAL MODELS; PATTERN RECOGNITION;

GAIT ANALYSIS;

EID: 33646726552     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11569947_27     Document Type: Conference Paper

References (8)

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2. D. Cunado, M.S. Nixon, and J. N. Carter "Automatic extraction and description of human gait models for recognition purposes" Computer Vision and Image Understanding, 90(1): 1-41, 2003
3. A. Kale, N. Cuntoor, and R. Chellapa "A framework for activity-specific human recognition" Proceedings of IEEE International conference on Acoustics, Speech and Signal Processing, Orlando, Fl, 2002
4. S. Sarkar, P.J. Phillips, Z. Liu, I.R. Vega, P. Grother, and K.V. Bowyer "The HumanID Gait Challenge Problem: Data sets, Performances, and Analysis" IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(2): 162-177, 2005.
5. J. D. Shutler, M. G. Grant, M. S. Nixon, and J. N. Carter "On a Large Sequence-Based Human Gait Database" Proc. 4th International Conf. on Recent Advances in Soft Computing, Nottingham (UK), 2002
6. G.V. Veres, L. Gordon, J.N. Carter and M.S. Nixon "What image information is important in silhouette-based gait recognition?" Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, D.C., USA, II: 776-782 2004.
7. G.V. Veres, M.S. Nixon and J.N. Carter "Modelling the time-variant covariates for gait recognition" Proceedings of 5th International conference on Audio- and Video-Based Viometric Person Authentication, New York, USA, 2005.
8. L. Wang, W.M. Hu and T.N. Tan "A new attempt to gait-based human identification" IEEE Transactions on Circuits and Systems for Video Technology, 14(2): 149-158, 2002.