Region-level motion-based background modeling and subtraction using MRFs

IEEE Transactions on Image Processing

Volumn 16, Issue 5, 2007, Pages 1446-1456

  Huang, Shih Shinh ^a   Fu, Li Chen ^a   Hsiao, Pei Yung ^b  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b NATIONAL UNIVERSITY OF KAOHSIUNG   (Taiwan)

Author keywords

Background subtraction; Markov random fields (MRFs); Motion based segmentation

Indexed keywords

COMPUTER SIMULATION; GRAPH THEORY; MARKOV PROCESSES; STATISTICAL METHODS;

MARKOV RANDOM FIELD; MOTION-BASED SEGMENTATION; VIDEO SEQUENCES;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; ILLUMINATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MOTION; PROBABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIGHTING; MARKOV CHAINS; MODELS, STATISTICAL; MOTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 34247333309     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2007.894246     Document Type: Article

References (30)

1. S. Gupte, O. Masoud, R. F. K. Martin, and N. P. Papanikolopoulos, "Detection and classification of vehicles," IEEE Trans. Intell. Transport. Syst., vol. 3, no. 1, pp. 37-47, Mar. 2002.
2. S. Y. Chien, S. Y. Ma, and L. G. Chen, "Efficient moving object segmentation algorithm using background registration technique," IEEE Trans. Circuits Syst. Video Technol., vol. 12, no. 7, pp. 577-586, Jul. 2002.
3. I. Haritaoglu, D. Harwood, and L. S. Davis, "W4: Real-time surveillance of people and their activities," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 809-830, Aug. 2000.
4. E. Stringa and C. S. Regazzoni, "Real-time video-shot detection for scene surveillance applications," IEEE Trans. Image Process., vol. 9, no. 1, pp. 69-79, Jan. 2000.
5. N. Friedman and S. Russell, "Image segmentation in video sequence: A probabilistic approach," presented at the Int. Conf. Uncertainty in Artificial Intelligence, Aug. 1997.
6. C. Stauffer and W. Grimson, "Adaptive background mixture models for real-time tracking," presented at the IEEE Computer Society Conf. Computer Vision and Pattern Recognition, Jun. 1999.
7. P. KaewTraKulPong and R. Bowden, "An improved adaptive background mixture model for real-time tracking with shadow detection," presented at the 2nd Eur. Workshop Advanced Video-Based Surveillance Systems, 2001.
8. A. Elgammal, D. Harwood, and L. S. Davis, "Non-parametric model for background subtraction," presented at the IEEE Int. Conf. Computer Vision Frame-Rate Workshop, 1999.
9. A. Elgammal, R. Duraiswami, D. Harwood, and L. S. Davis, "Background and foreground modeling using nonparametric kernel density estimation for visual surveillance," Proc. IEEE, vol. 90, no. 7, pp. 1151-1162, Jul. 2002.
10. D. Bulter and S. Sridharan, "Real-time adaptive background segmentation," presented at the IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 2003.
11. J. Y. A. Wang and E. H. Adelson, "Spatio-temporal segmentation of video data," Proc. SPIE, 1994.
12. G. D. Borshukov and G. Bozdagi, "Motion segmentation by multistage affine classification," IEEE Trans. Image Process., vol. 6, no. 11, pp. 1591-1594, Nov. 1997.
13. Y. Tsaig and A.Averbuch, "Automatic segmentation of moving objects in video sequences: A region labeling approach," IEEE Trans. Circuits Syst. Video Technol., vol. 12, no. 7, pp. 597-612, Jul. 2002.
14. Y. Altunbasak, P. E. Eren, and A. M. Tekalp, "Region-based parametric motion segmentation using color information," Graph. Models Image Process., vol. 60, no. 1, pp. 013-023, Jan. 1998.
15. J. G. Choi, S. W. Lee, and S. D. Kim, "Spatio-temporal video segmentation using a joint similarity measure," IEEE Trans. Circuits Syst. Video Technol., vol. 7, no. 2, pp. 279-286, Apr. 1997.
16. F. Dufax, F. Moscheni, and A. Lippman, "Spatio-temporal segmentation based on motion and static segmentation," in Proc. IEEE Conf. Image Processing, 1995, pp. 306-309.
17. S. S. Huang, L. C. Fu, and P. Y. Hsiao, "A region-based background modeling and subtraction using partial directed Hausdorff distance," presented at the IEEE Int. Conf. Robotics and Automation, 2004.
18. S. S. Huang, L. C. Fu, and P. Y. Hsiao, "A region-level motion-based background modeling and subtraction using MRFs," presented at the IEEE Int. Conf. Robotics and Automation, 2005.
19. B. K. P. Horn and B. G. Schunck, "Determining optical flow," AI Memo 572, Massachusetts Inst. Technol., Cambridge, 1980.
20. P. Salembier and M. Pardas, "Hierarchical morphological segmentation for image sequence coding," IEEE Trans. Image Process., vol. 3, no. 9, pp. 639-651, Sep. 1994.
21. J. Y. A.Wang and E. H. Adelson, "Representation moving images with layers," IEEE Trans. Image Process., vol. 3, no. 5, pp. 625-638, Sep. 1994.
22. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification. New York: Wiley, 2000.
23. A. Rosenfeld and J. L. Pfaltz, "Sequential operations in digital picture processing," J. Assoc. Comput. Mach., vol. 13, pp. 471-494, 1966.
24. J. Lim and J. B. Ra, "A semantic video object tracking algorithm using three-step boundary refinement," in Proc. IEEE Int. Conf. Image Processing, 1999, pp. 159-163.
25. A. Monnet, A. Mittal, N. paragios, and V. Ramesh, "Background modeling and subtraction of dynamic scenes," in Proc. IEEE Int. Conf. Computer Vision, 2003, pp. 1305-1312.
26. B. Mak and E. Barnard, "Phone clustering using the Bhattacharyya distance," in Proc. 4th Int. Conf. Spoken Language Processing, Oct. 1996, vol. 4, pp. 2005-2008.
27. S. Geman and D. Geman, "Stochastic relaxation gibbs distributions and the bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-6, no. 11, pp. 721-741, Nov. 1984.
28. M. J. Black, "The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields," Comput. Vis. Image Understand., vol. 63, no. 1, pp. 75-104, Jan. 1996.
29. L. Wang, T. Tan, H. Ning, and W. Hu, "Silhouette analysis-based gait recognition for human identification," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 12, pp. 1505-1518, Dec. 2003.
30. Y. Kuno, T. Watanabe, Y. Shimosakoda, and S. Nakagawa, "Automated detection of human for visual surveillance system," in Proc. Inf. Conf. Pattern Recognition, 1996, pp. 865-869.