Video action recognition using Residual Vector Quantization and hidden Markov models

Proceedings of the 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010

Volumn 2, Issue , 2010, Pages 659-663

  Aslant, Salman ^a   Barnes, Christopher ^a   Bobick, Aaron ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

tree classifier; Action recognition; Compression; Machine learning; Pattern recognition; Residual Vector Quantization; Source coding

Indexed keywords

ACTION RECOGNITION; CLASSIFICATION RESULTS; CONDITIONAL DENSITY; DESCRIPTORS; HMM MODELS; HUMAN-ACTION RECOGNITION; MULTI-STAGE; SOURCE-CODING; STATE-OF-THE-ART METHODS; TRAINING SETS; TREE CLASSIFIERS; VIDEO PROCESSING;

COMPACTION; COMPUTER VISION; GESTURE RECOGNITION; HIDDEN MARKOV MODELS; LEARNING SYSTEMS; MOTION ESTIMATION; PATTERN RECOGNITION; VIDEO SIGNAL PROCESSING;

VECTOR QUANTIZATION;

EID: 84864920822     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. A. F. Bobick and J. W. Davis, "The recognition of human movement using temporal templates," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 23, no. 3, pp. 257-267, 2001.
2. L. Gorelick, M. Blank, E. Shechtman, M. Irani, and R. Basri, "Actions as space-time shapes," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 29, no. 12, pp. 2247-2253, 2007.
3. Saad Ali and Mubarak Shah, "Human action recognition in videos using kinematic features and multiple instance learning," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 32, no. 2, pp. 288-303, 2010.
4. Sigal Leonid, 'Tracking loose-limbed people," 2004, vol. 1, pp. 421-428.
5. C. F. Barnes, "Image-driven data mining for image content segmentation, classification, and attribution," IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 9, pp. 2964-2978, 2007.
6. A. Hervieu, P. Bouthemy, and J. P. Le Cadre, "A hmm-based method for recognizing dynamic video contents from trajectories," in Image Processing, 2007. ICIP 2007. IEEE International Conference on, 2007, vol. 4, pp. IV-533-IV-536.
7. Xie Lexing, Xu Peng, Chang Shih-Fu, A. Divakaran, and H. Sun, "Structure analysis of soccer video with domain knowledge and hidden markov models," Pattern Recognition Letters, vol. 25, no. Copyright 2004, IEE, pp. 767-75, 2004.
8. Riten Gupta, Alfred Hero, Alfred, and O. Hero, "High rate vector quantization for detection," IEEE Trans. Inform. Theory, vol. 49, pp. 1951-1969, 2003.
9. E. Tuncel, P. Koulgi, and K. Rose, "Rate-distortion approach to databases: storage and content-based retrieval," Information Theory, IEEE Transactions on, vol. 50, no. 6, pp. 953-967, 2004.
10. C. F. Barnes, S. A. Rizvi, and N. M. Nasrabadi, "Advances in residual vector quantization: a review," Image Processing, IEEE Transactions on, vol. 5, no. 2, pp. 226-262, 1996.
11. Allen Gersho and Robert Gray, Vector Quantization and Signal Compression (The Springer International Series in Engineering and Computer Science), Springer, 1991.
12. Juang Biing-Hwang and Jr. Gray, A., "Multiple stage vector quantization for speech coding," in Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82., 1982, vol. 7, pp. 597-600.
13. C. F. Barnes and R. L. Frost, "Vector quantizers with direct sum codebooks," IEEE Transactions on Information Theory, vol. 39, no. Copyright 1993, TEE, pp. 565-80, 1993.
14. L. R. Rabiner, "A tutorial on hidden markov models and selected applications in speech recognition," Proceedings of the IEEE, vol. 77, no. 2, pp. 257-286, 1989.
15. L. Zelnik-Manor and M. Irani, "Event-based analysis of video," in Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 8-14 Dec. 2001, Los Alamitos, CA, USA, 2001, vol. vol.2, pp. 123-30, IEEE Corn-put. Soc.