Selection and context for action recognition

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2009, Pages 1933-1940

  Han, Dong ^a   Bo, Liefeng ^b   Sminchisescu, Cristian ^a  

^a UNIVERSITY OF BONN   (Germany)

^b TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; BAYESIAN; BAYESIAN CLASSIFICATION; BEHAVIORAL PATTERNS; BENCHMARK TESTS; COVARIANCE FUNCTION; DATA SETS; DESCRIPTORS; GAUSSIAN PROCESSES; HUMAN ACTIONS; MULTIPLE FEATURES; MULTIPLE KERNEL LEARNING; MULTIPLE KERNELS; PRESENCE/ABSENCE; SPATIO-TEMPORAL;

BAYESIAN NETWORKS; COMPUTER VISION; FEATURE EXTRACTION; STATISTICAL TESTS;

CLASSIFICATION (OF INFORMATION);

EID: 77953208298     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459427     Document Type: Conference Paper

References (34)

1. F. R. Bach, G. R. G. Lanckriet, and M. I. Jordan. Multiple kernel learning, conic duality, and the SMO algorithm. In ICML, New York, NY, USA, 2004.
2. M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri. Actions as Space-Time Shapes. In ICCV, 2005.
3. N. Dalal, B. Triggs, and C. Schmid. Human Detection Using Oriented Histograms of Flow and Appearance. In ECCV, May 2006.
4. P. Dollár, V. Rabaud, G. Cottrell, and S. Belongie. Behavior Recognition via Sparse Spatio-Temporal Features. In VSPETS, 2005.
5. A. Efros, A. Berg, G. Mori, and J. Malik. Recognizing actions at a distance. In ICCV, 2003.
6. A. Fathi and G. Mori. Action Recognition by Learning Midlevel Motion Features. In CVPR, 2008.
7. P. Felzenszwalb, D. McAllester, and D. Ramanan. A Discriminatively Trained, Multiscale, Deformable Part Mode. In CVPR, 2008.
8. R. Fletcher. Practical Methods of Optimization. In John Wiley, 1987.
9. A. Gupta and L. Davis. Objects in action: An approach for combining understanding and object perception. In CVPR, 2007.
10. N. Ikizler and D. Forsyth. Searching video for complex activities with finite state models. In CVPR, October 2007.
11. H. Jhuang, T. Serre, L.Wolf, and T. Poggio. A Biologically Inspired System for Action Recognition. In ICCV, 2007.
12. A. Kapoor, K. Grauman, R. Urtasun, and T. Darrell. Active learning with gaussian processes for object categorization. In ICCV, 2007.
13. Y. Ke, R. Sukthankar, and M. Hebert. Event Detection in Crowded Videos. In ICCV, 2007.
14. T. K. Kim, S. F. Wong, and R. Cipolla. Tensor Canonical Correlation Analysis for Action Classification. In CVPR, June 2007.
15. H. Kjellström, J. Romero, D. Martinez, and D. Kragic. Simultaneous visual recognition of manipulation actions and manipulated objects. In ECCV, 2008.
16. A. Kläser,M. Marszalłek, and C. Schmid. A Spatio-Temporal Descriptor Based on 3D-Gradients. In BMVC, 2008.
17. A. Kumar and C. Sminchisescu. Support kernel machines for object recognition. In ICCV, 2007.
18. I. Laptev and T. Lindeberg. Space-Time Interest Points. In ICCV, 2003.
19. I. Laptev, M. Marszalłek, C. Schmid, and B. Rozenfeld. Learning realistic human actions from movies. In CVPR, June 2008.
20. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004.
21. R. Mann, A. Jepson, and J. Siskind. The Computational Perception of Scene Dynamics. In CVIU, volume 65(2), pages 113-128, 1997.
22. M. Marszalłek, I. Laptev, and C. Schmid. Actions in Context. In CVPR, June 2009.
23. D. Moore, I. Essa, and M. Hayes. Exploting human actions and object context for recognition tasks. In ICCV, 1999.
24. J. C. Niebles, H.Wang, and L. Fei-Fei. Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. IJCV, 79(3):299-318, 2008.
25. C. E. Rasmussen and C. K. Williams. Gaussian processes for machine learning. the MIT Press, 2006.
26. M. Ryoo and J. Aggarwal. Hierarchical Recognition of Human Activities interacting with Objects. In Semantic Learning Workshop at CVPR, 2007.
27. S. Savarese, A. DelPozo, J. C. Niebles, and L. Fei-Fei. Spatial-Temporal Correlations for Unsupervised Action Classification. In WMVC, 2008.
28. C. Schuldt, I. Laptev, and B. Caputo. Recognizing Human Actions: A Local SVM Approach. In ICPR, 2004.
29. P. Scovanner, S. Ali, and M. Shah. A 3-Dimensional SIFT Descriptor and Its Application to Action Recognition. In ACM Multimedia, 2007.
30. C. Sminchisescu, , A. Kanaujia, and D. Metaxas. Conditional Models for Contextual Human Motion Recognition. CVIU, 104(2-3):210-220, 2006. (Pubitemid 44573870)
31. A. Torralba. Contextual Priming for Object Detection. IJCV, 53(2), 2003.
32. S. Wang, A. Quattoni, L. P. Morency, D. Demirdjian, and T. Darrell. Hidden Conditional Random Fields for Gesture Recognition. In CVPR, 2006.
33. S. F. Wong and R. Cipolla. Extracting Spatiotemporal Interest Points using Global Information. In ICCV, October 2007.
34. J. Wu, A. Osuntogun, T. Choudhury, M. Philipose, and J. Rehg. A Scalable Approach to Activity Recognition Based on Object Use. In ICCV, 2007.