A non-parametric HMM learning method for shape dynamics with application to human motion recognition

Proceedings - International Conference on Pattern Recognition

Volumn 2, Issue , 2006, Pages 29-32

  Ning, Jin ^a   Mokhtarian, Farzin ^a  

^a UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARBITRARY STATES; EUCLIDEAN DISTANCE METRIC; HMM FRAMEWORK; SPATIAL-TEMPORAL SHAPE DEFORMATION;

FEATURE EXTRACTION; IMAGE QUALITY; LEARNING SYSTEMS; MOTION PLANNING; PATTERN RECOGNITION; PROBABILITY DISTRIBUTIONS;

HIDDEN MARKOV MODELS;

EID: 34047234148     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.130     Document Type: Conference Paper

References (8)

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3. I. L. Dryden and K. V. Mardia. Statistical Shape Analysis. John Wiley, 1998.
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7. W. Hu, T. Tan, L. Wang, and S. Maybank. A survey on visual surveillance of object motion and behaviors. IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews, 34(3), AUGUST 2004.
8. L. R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, 1989.