Fast unsupervised ego-action learning for first-person sports videos

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

Volumn , Issue , 2011, Pages 3241-3248

  Kitani, Kris M ^a   Okabe, Takahiro ^b   Sato, Yoichi ^b   Sugimoto, Akihiro ^c  

^a UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

^c NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; INDEXING (OF INFORMATION); LEARNING ALGORITHMS; PATTERN RECOGNITION; VIDEO RECORDING;

ACTION LEARNING; CLASSIFICATION ACCURACY; COMPARATIVE ANALYSIS; COMPUTATIONAL SPEED; DIRICHLET PROCESS MIXTURE MODEL; MOTION HISTOGRAMS; STATE OF THE ART; VIDEO INDEXING AND RETRIEVAL;

SPORTS;

EID: 80052870292     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995406     Document Type: Conference Paper

References (17)

1. D. M. Blei and M. I. Jordan. Variational inference for Dirichlet process mixtures. Journal of Bayesian Analysis, 1(1):121-144, 2006. 3244
2. H. Daume. Fast search for Dirichlet process mixture models. In AISTATS, 2007. 3244, 3245
3. S. Geisser and W. Eddy. A predictive approach to model selection. Journal of the American Statistical Association, 74(365):153-160, 1979. 3245
4. T. Huynh, M. Fritz, and B. Schiele. Discovery of activity patterns using topic models. In International Conference on Ubiquitous Computing, pages 10-19, 2008. 3242
5. S. Jain and R. Neal. Splitting and merging components of a nonconjugate Dirichlet process mixture model. Bayesian Analysis, 2(3):445-472, 2007. 3244
6. W. W. Mayol and D. W. Murray. Wearable hand activity recognition for event summarization. In ISWC, pages 122-129, 2005. 3242
7. X. Ren and C. Gu. Figure-ground segmentation improves handled object recognition in egocentric video. In CVPR, pages 3137-3144, 2010. 3242
8. J. Sivic, B. Russell, A. Zisserman, W. Freeman, and A. Efros. Unsupervised discovery of visual object class hierarchies. In CVPR, pages 1-8, 2008. 3244
9. E. H. Spriggs, F. D. la Torre Frade, and M. Hebert. Temporal segmentation and activity classification from first-person sensing. In Workshop on Egocentric Vision, 2009. 3242
10. T. Starner, A. Pentland, and J. Weaver. Real-time American sign language recognition using desk and wearable computer based video. PAMI, 20(12):1371-1375, 1998. 3242
11. T. Starner, B. Schiele, and A. Pentland. Visual context awareness via wearable computing. In ISWC, pages 50-57, 1998. 3242
12. L. Sun, U. Klank, and M. Beetz. EYEWATCHME: 3D hand and object tracking for inside out activity analysis. In Workshop on Egocentric Vision, pages 9-16, 2009. 3242
13. S. Sundaram and W. Cuevas. High level activity recognition using low resolution wearable vision. In Workshop on Egocentric Vision, pages 25-32, 2009. 3242
14. Y. Teh, M. Jordan, M. Beal, and D. Blei. Hierarchical Dirichlet processes. Journal of the American Statistical Association, 101(476):1566-1581, 2006. 3244
15. L. Wang and D. Dunson. Fast Bayesian inference in Dirichlet process mixture models. Journal of Computational and Graphical Statistics, (0):1-21, 2010. 3244
16. X. Wang, X. Ma, and E. Grimson. Unsupervised activity perception by hierarchical Bayesian models. In CVPR, pages 1-8, 2007. 3244
17. A. Zinnen, C. Wojek, and B. Schiele. Multi activity recognition based on bodymodel-derived primitives. Location and Context Awareness, pages 1-18, 2009. 3242