A human action recognition system for embedded computer vision application

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2007, Pages

  Meng, Hongying ^a   Pears, Nick ^a   Bailey, Chris ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; EMBEDDED SYSTEMS; HUMAN COMPUTER INTERACTION; INTELLIGENT AGENTS; SECURITY SYSTEMS; SUPPORT VECTOR MACHINES;

HUMAN ACTION RECOGNITION; INTELLIGENT ENVIRONMENTS; MOTION HISTORY HISTOGRAM; MOTION HISTORY IMAGE;

GESTURE RECOGNITION;

EID: 34948901342     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383420     Document Type: Conference Paper

References (22)

1. J. K. Aggarwal and Q. Cai. Human motion analysis: a review. Comput. Vis. Image Underst., 73(3):428-440, 1999.
2. M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri. Actions as space-time shapes. In ICCV, pages 1395-1402, 2005.
3. A. F. Bobick and J. W. Davis. The recognition of human movement using temporal templates. IEEE Trans. Pattern Anal. Mach. Intell., 23(3):257-267, 2001.
4. G. R. Bradski and J. W. Davis. Motion segmentation and pose recognition with motion history gradients. Mach. Vis. Appl., 13(3):174-184, 2002.
5. N. Dalal, B. Triggs, and C. Schmid. Human detection using oriented histograms of flow and appearance. In ECCV (2), pages 428-441, 2006.
6. J. W. Davis. Hierarchical motion history images for recognizing human motion. In IEEE Workshop on Detection and Recognition of Events in Video, pages 39-46, 2001.
7. P. Dollar, V. Rabaud, G. Cottrell, and S. Belongie. Behavior recognition via sparse spatio-temporal features. In VS-PETS, October 2005.
8. A. A. Efros, A. C. Berg, G. Mori, and J. Malik. Recognizing action at a distance. In ICCV, pages 726-733, 2003.
9. T. Joachims. Making large-scale SVM learning practical. In Advances in Kernel Methods - Support Vector Learning, USA, 1999. MIT-Press. Oikonomopoulos, Antonios and Patras, Ioannis and Pantic, Maja eds.
10. Y Ke, R. Sukthankar, and M. Hebert. Efficient visual event detection using volumetric features. In ICCV, pages 166-173, 2005. Beijing, China, Oct. 15-21, 2005.
11. H. Meng, N. Pears, and C. Bailey. Human action classification using SVM.2K classifier on motion features. In LNCS, volume 4105, pages 458-465, Istanbul, Turkey, 2006.
12. H. Meng, N. Pears, and C. Bailey. Recognizing human actions based on motion information and SVM. In Proceedings of 2nd IET International. Conference on Intelligent Environments, pages 239-245, Athens, Greece, 2006. IET.
13. H. Meng, N. Pears, and C. Bailey. Motion information combination for fast human action recognition. In Proceedings of 2nd International Conference on Computer Vision Theory and Applications (VISAPP07), Barcelona, Spain., March 2007.
14. T. Moeslund, A. Hilton, and V. Kruger. A survey of advances in vision-based human motion capture and analysis. Comput. Vis. Image Underst., 103(2-3):90-126, November 2006.
15. J. Niebles, H. Wang, and L. Fei-Fei. Unsupervised learning of human action categories using spatial-temporal words. In BMVC06, page III:1249, 2006.
16. T. Ogata, J. K. Tan, and S. Ishikawa. High-speed human motion recognition based on a motion history image and an eigenspace. IEICE Transactions on Information and Systems, E89(1):281-289, 2006.
17. A. Oikonomopoulos, I. Patras, and M. Pantic. Kernel-based recognition of human actions using spatiotemporal salient points. In Proceedings of CVPR workshop 06, volume 3, pages 151-156, June 2006.
18. C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: a local SVM approach. In ICPR, Cambridge, U.K, 2004.
19. D. Weinland, R. Ronfard, and E. Boyer. Motion history volumes for free viewpoint action recognition. In IEEE International Workshop on modeling People and Human Interaction (PHI'05), 2005.
20. S.-F. Wong and R. Cipolla. Real-time adaptive hand motion recognition using a sparse bayesian classifier. In ICCV-HCI, pages 170-179, 2005.
21. S.-F. Wong and R. Cipolla. Continuous gesture recognition using a sparse bayesian classifier. In ICPR (1), pages 1084-1087, 2006.
22. C. Yeo, P. Ahammad, K. Ramchandran, and S. Sastry. Compressed domain real-time action recognition. In IEEE International Workshop on Multimedia Signal Processing (MMSP) - 2006, Washington, DC, USA, 2006.