View-invariant action recognition using cross ratios across frames

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2009, Pages 3549-3552

  Zhang, Yeyin ^a   Huang, Kaiqi ^a   Huang, Yongzhen ^a   Tan, Tieniu ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

Action recognition; Cross ratio; View invariance

Indexed keywords

IMAGE PROCESSING;

ACTION RECOGNITION; COLLINEARITY; COPLANARITY; CROSS-RATIOS; FEATURE VECTORS; IMAGE POINTS; INVARIANT REPRESENTATION; STATE-OF-THE-ART METHODS; VIEW-INVARIANCE;

IMAGING SYSTEMS;

EID: 77951967789     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2009.5414338     Document Type: Conference Paper

References (8)

1. Daniel Weinland, Remi Ronfard, and Edmond Boyer, "Free viewpoint action recognition using motion history volumes," Int. J. Computer Vision and Image Understanding, vol. 104, no.2-3, pp. 249-257, 2006. (Pubitemid 44573869)
2. D.Weinland, E. Boyer, and R. Ronfard, "Action recognition from arbitrary views using 3d exemplars," IEEE 11th International Conference on Computer Vision, 2007.
3. Yuping Shen and H. Foroosh, "View-invariant action recognition using fundamental ratios," IEEE Conference on Computer Vision and Pattern Recognition, 2008.
4. P. Natarajan and R. Nevatia, "View and scale invariant action recognition using multiview shape-flow models," IEEE Conference on Computer Vision and Pattern Recognition, 2008.
5. R. Souvenir and J. Babbs, "Learning the viewpoint manifold for action recognition," IEEE Conference on Computer Vision and Pattern Recognition, 2008.
6. Cen Rao, Alper Yilmaz, and Mubarak Shah, "View-invariant representation and recognition of actions," Int. J. Comput. Vision, vol. 50, no. 2, pp. 203-226, 2002.
7. Vasu Parameswaran and Rama Chellappa, "View invariants for human action recognition," Proc. IEEE Conf. Computer Vision Pattern Recognition 2003., vol. 2, pp. 613.
8. Joseph L. Mundy and Andrew Zisserman, Eds., Geometric invariance in computer vision, MIT Press, Cambridge, MA, USA, 1992.