Learning color and locality cues for moving object detection and segmentation

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Volumn , Issue , 2009, Pages 320-327

  Liu, Feng ^a   Gleicher, Michael ^a  

^a University of Wisconsin Madison   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR; COMPUTER VISION; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; MAGNETORHEOLOGICAL FLUIDS; MARKOV PROCESSES; OBJECT RECOGNITION; STRUCTURAL FRAMES;

AUTOMATIC ALGORITHMS; BACKGROUND PIXELS; GAUSSIAN MIXTURE MODEL; MARKOV RANDOM FIELDS; MOTION INFORMATION; MOVING OBJECT SEGMENTATION; MOVING-OBJECT DETECTION; UNSUPERVISED ALGORITHMS;

OBJECT DETECTION;

EID: 70450193553     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206857     Document Type: Conference Paper

References (24)

1. C. A. Bouman. Cluster: An unsupervised algorithm for modeling Gaussian mixtures. Available from http://www.ece.purdue.edu/~bouman, April 1997.
2. Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal. Mach. Intell., 23(11):1222 - 1239, November 2001.
3. A. Bugeau and P. Perez. Detection and segmentation of moving objects in highly dynamic scenes. In IEEE CVPR, 2007.
4. A. Criminisi, G. Cross, A. Blake, and V. Kolmogorov. Bilayer segmentation of live video. In Proc. of IEEE CVPR, pages 53-60, Jun. 2006.
5. A. Elgammal, R. Duraiswami, D. Harwood, and L. Davis. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance. Proc. of the IEEE, 90(7):1151-1163, Jul. 2002.
6. M. A. Fischler and R. C. Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM, 24(6):381- 395, 1981.
7. J. Foley, V. D. A., S. Feiner, and J. Hughes. Computer Graphics: Principles and Practice, 2nd edition. Addison Wesley, 1997.
8. M. Gelgon and P. Bouthemy. A region-level graph labeling approach to motion-based segmentation. In Proc. of IEEE CVPR, pages 514-519, Jun. 1997.
9. M. Han, W. Xu, and Y. Gong. Video object segmentation by motion-based sequential feature clustering. In ACM Multimedia, pages 773-782, Oct. 2006.
10. M. Heikkila and M. Pietikainen. A texture-based method for modeling the background and detecting moving objects. IEEE Trans. Pattern Anal. Mach. Intell., 28(4):657-662, April 2006.
11. Y.W. Jonathan S. Yedidia, William T. Freeman. Generalized belief propagation. In NIPS, pages 689-695, Nov. 2000.
12. S. Khan and M. Shah. Object based segmentation of video using color, motion and spatial information. In Proc. of IEEE CVPR, pages 746-751, Dec. 2001.
13. V. Kolmogorov and R. Zabih. What energy functions can be minimized via graph cuts? IEEE Trans. Pattern Anal. Mach. Intell., 26(2):147-159, Feb. 2004.
14. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004.
15. S. Mahamud. Comparing belief propagation and graph cuts for novelty detection. In IEEE CVPR, pages 1154-1159, 2006.
16. J. Rissanen. A universal prior for integers and estimation by minimum description length. Annals of Statistics, 11(2):417-431, 1983.
17. Y. Sheikh and M. Shah. Bayesian object detection in dynamic scenes. In IEEE CVPR, pages 74-79, 2005. (Pubitemid 41275925)
18. J. Sun, W. Zhang, X. Tang, and H.-Y. Shum. Background cut. In Proc. of ECCV, pages 628-641, May 2006.
19. R. Szeliski. Image alignment and stitching: a tutorial. Found. Trends. Comput. Graph. Vis., 2(1):1-104, 2006.
20. R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov, A. Agarwala, M. Tappen, and C. Rother. A comparative study of energy minimization methods for markov random fields. In Proc. of ECCV, pages 16-29, May 2006.
21. Y. Wang and Q. Ji. A dynamic conditional random field model for object segmentation in image sequences. In Proc. of IEEE CVPR, pages 264-270, Jun. 2005.
22. X. Xu and T. Huang. A loopy belief propagation approach for robust background estimation. In IEEE CVPR, June 2008.
23. P. Yin, A. Criminisi, J. Winn, and I. Essa. Tree-based classifiers for bilayer video segmentation. In IEEE CVPR, 2007.
24. G. Zhang, J. Jia, W. Xiong, T.-T. Wong, P.-A. Heng, and H. Bao. Moving object extraction with a hand-held camera. In IEEE ICCV, 2007.