Action recognition in video by covariance matching of silhouette tunnels

Proceedings of SIBGRAPI 2009 - 22nd Brazilian Symposium on Computer Graphics and Image Processing

Volumn , Issue , 2009, Pages 299-306

  Guo, Kai ^a   Ishwar, Prakash ^a   Konrad, Janusz ^a  

^a Boston University   (United States)

Author keywords

Action recognition; Covariance matching; Generalized eigenvalues; Silhouette tunnel; Video analysis

Indexed keywords

ACTION RECOGNITION; CLASSIFICATION RATES; COMPUTATIONAL COSTS; COVARIANCE MATCHING; COVARIANCE MATRICES; GENERALIZED EIGENVALUES; GEOMETRIC FEATURE; IMAGING CONDITIONS; LOCAL SHAPE; NEAREST NEIGHBOR RULE; RIEMANNIAN METRICS; TEMPORAL SEQUENCES; VIDEO ANALYSIS; VIDEO SEQUENCES;

COMPUTER GRAPHICS; COST REDUCTION; EIGENVALUES AND EIGENFUNCTIONS; IMAGE PROCESSING; IMAGING SYSTEMS; VIDEO RECORDING; WIND TUNNELS;

COVARIANCE MATRIX;

EID: 77949572611     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRAPI.2009.29     Document Type: Conference Paper

References (23)

1. J. Niebles and L. Fei-Fei, "A hierarchical model of shape and appearance for human action classification," in Proc. IEEE Conf. Computer Vision Pattern Recognition, Jun. 2007.
2. N. Dalal, B. Triggs, and C. Schmid, "Human detection using oriented histograms of flow and appearance," in Proc. European Conf. Computer Vision, 2006.
3. G. Mori and J. Malik, "Estimating body configurations using shape context matching," in Proc. European Conf. Computer Vision, Jan. 2002.
4. G. Mori, X. Ren, A. A. Efros, and J. Malik, "Recovering human body configurations: Combining segmentation and recognition," in Proc. IEEE Conf. Computer Vision Pattern Recognition, Jun. 2004.
5. A. A. Efros, A. C. Berg, G. Mori, and J. Malik, "Recognizing action at a distance," in Proc. IEEE Int. Conf. Computer Vision, 2003.
6. H. Sidenbladh and M. J. Black, "Learning the statistics of people in images and video," Intern. J. Comput. Vis., vol. 54, no. 1-3, pp. 181-207, Aug. 2003.
7. L. Gorelick, M. Blank, E. Shechtman, M. Irani, and R. Basri, "Actions as space-time shapes," IEEE Trans. Pattern Anal. Machine Intell., vol. 29, no. 12, pp. 2247-2253, Dec. 2007.
8. O. Boiman and M. Irani, "Detecting irregularities in images and in video," in Proc. IEEE Int. Conf. Computer Vision, 2005.
9. E. Shechtman and M. Irani, "Space-time behavior-based correlation or how to tell if two underlying motion fields are similar without computing them?" IEEE Trans. Pattern Anal. Machine Intell., vol. 29, no. 11, pp. 2045-2056, Dec. 2007.
10. M. Ristivojević and J. Konrad, "Space-time image sequence analysis: object tunnels and occlusion volumes," IEEE Trans. Image Process., vol. 15, no. 2, pp. 364-376, Feb. 2006.
11. J. Konrad, "Videopsy: Dissecting visual data in space-time," IEEE Comm. Mag., vol. 45, no. 1, pp. 34-42, Jan. 2007.
12. Y. Pritch, A. Rav-Acha, and S. Peleg, "Non-chronological video synopsis and indexing," IEEE Trans. Pattern Anal. Machine Intell., vol. 30, no. 11, pp. 1971-1984, Nov. 2008.
13. A. Bobick and J. Davis, "The recognition of human movement using temporal templates," IEEE Trans. Pattern Anal. Machine Intell., vol. 23, no. 3, pp. 257-267, Mar. 2001.
14. L. Wang, T. Tan, H. Ning, and W. Hu, "Silhouette analysis-based gait recognition for human identification," IEEE Trans. Pattern Anal. Machine Intell., vol. 25, no. 12, pp. 1505-1518, 2003.
15. D. Ioannidis, D. Tzovaras, I. G. Damousis, S. Argyropoulos, and K. Moustakas, "Gait recognition using compact feature extraction transforms and depth information," IEEE Trans. Inf. Forensics Security, vol. 2, no. 3 (part 2), pp. 623-630, 2007.
16. R. T. Collins, R. Gross, and J. Shi, "Silhouette-based human identification from body shape and gait," in IEEE Int. Conf. on Automatic Face and Gesture Recognition, 2002, pp. 366-371.
17. L. Wang, H. Ning, T. Tan, and W. Hu, "Fusion of static and dynamic body biometrics for gait recognition," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 2, pp. 149-158, 2004.
18. D. Cunado, M. S. Nixon, and J. N. Carter, "Automatic extraction and description of human gait models for recognition purposes," Comput. Vis. Image Underst., vol. 90, no. 1, pp. 1-41, 2003.
19. O. Tuzel, F. Porikli, and P. Meer, "Region covariance: A fast descriptor for detection and classification," in Proc. European Conf. Computer Vision, May 2006.
20. -, "Pedestrian detection via classification on Riemannian manifolds," IEEE Trans. Pattern Anal. Machine Intell., vol. 30, no. 10, pp. 1713-1727, Oct. 2008.
21. A. Elgammal, R. Duraiswami, D. Harwood, and L. Davis, "Background and foreground modeling using nonparametric kernel density for visual surveillance," Proc. IEEE, vol. 90, pp. 1151-1163, 2002.
22. J. McHugh, J. Konrad, V. Saligrama, and P.-M. Jodoin, "Foreground-adaptive background subtraction," IEEE Signal Process. Lett., vol. 16, no. 5, pp. 390-393, May 2009.
23. W. Förstner and B. Moonen, "A metric for covariance matrices," Dept. of Geodesy and Geoinformation, Stuttgart University, Tech. Rep., 1999.