Region-level motion-based foreground segmentation under a bayesian network

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 19, Issue 4, 2009, Pages 522-532

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

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^c NATIONAL UNIVERSITY OF KAOHSIUNG   (Taiwan)

Author keywords

Image segmentation; Motion measurement; Surveillance

Indexed keywords

COMPUTATION TIME; CONSECUTIVE IMAGES; EDGE INFORMATION; FOREGROUND OBJECTS; FOREGROUND SEGMENTATION; JOINT PROBABILITY DENSITY FUNCTION; MOTION MEASUREMENT; MOTION VECTOR FIELD; NOISE EFFECTS; PROBABILISTIC APPROACHES; REGION ADJACENCY GRAPHS; REGION DETECTION; REGIONS OF INTEREST; SEGMENTATION RESULTS; SPATIAL RELATIONSHIPS; SURVEILLANCE; TEMPORAL COHERENCE; VIDEO SEQUENCES;

BAYESIAN NETWORKS; DIGITAL IMAGE STORAGE; DISTRIBUTED PARAMETER NETWORKS; EDGE DETECTION; IMAGE SEGMENTATION; INFERENCE ENGINES; INTELLIGENT NETWORKS; MEASUREMENTS; SPEECH ANALYSIS; VIDEO RECORDING;

PROBABILITY DENSITY FUNCTION;

EID: 66349099075     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2009.2013507     Document Type: Article

References (28)

1. S.-S. Huang, L.-C. Fu, and R-Y Hsiao, "Region-level motion-based background modeling and subtraction using MRFs," IEEE. Trans. Image Process., vol. 16, no. 5, pp. 1446-1456, May 2007.
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. C. Benedek and T. Sziranyi, "Markovian framework for foregroundbackground-shadow separation of real world video scenes," in Proc. Asian Conf. Comput. Vision, Hyderabad, India, 2006, pp. 898-907.
5. N. Friedman and S. Russell, "Image segmentation in video sequence: A probabilistic approach," in Proc. Int. Conf. Uncertainty Artificial Intell., Providence, RI, Aug. 1997, pp. 175-181.
6. D. S. Lee, "Effective gaussian mixture learning for video background subtraction," IEEE Tmns. Pattern Anal. Mach. Intell., vol. 27, no. 5, pp. 827-832, May 2005.
7. C. Stauffer and W. Grimson, "Adaptive background mixture models for real-time tracking," in Proc. IEEE Comp. Soc. Conf. Comput. Vision Pattern Recognition, Fort Collins, CO, Jun. 1999, vol. 2, pp. 246-252.
8. A. Elgammal, D. Harwood, and L. S. Davis, "Non-parametric model for background subtraction," in Proc. Eur. Conf Comput. Vision, Dublin, Ireland, vol. 2, 2000, pp. 571-767.
9. Y. Sheikh and M. Shah, "Bayesian modeling of dynamic scenes for object detection," IEEE Trans. Pattern Anal. Mach. Intel!., vol. 27, no. 1, pp. 1778-1792, Nov. 2005.
10. S. Jabri, Z. Duric, H. Wechsler, and A. Rosenfeld, "Detection and location of people in video images using adpative fusion of color and edge information," in Proc. IEEE Int. Conf. Pattern Recognition, Barcelona, Spain, 2000, pp. 627-630.
11. M. Heikkila and M. Pietikainen, "A Texture-based method for modeling the background and detecting moving objects," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 4, pp. 657-661, Apr. 2006.
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. 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.
14. 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.
15. I. Patras, E. A. Hendriks, and R. L. Lagendijk, "Video segmentation by MAP labeling of watershed segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 3, pp. 326-332, Mar. 2001.
16. 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. 13-23, Jan. 1998.
17. P.-C. Chen, J.-J. Su, Y-P. Tsai, and Y.-P. Hung, "Coarse-to-fine video object segmentation by MAP labeling of watershed regions," Bull. College of Eng., no. 90, pp. 25-34, Feb. 2004.
18. Y Liang, I. Ahmad, J. Luo, Y. Sun, and V. Swaminathan, "On using hierarchical motion history for motion estimation in H.264/AVC," IEEE Trans. Circuits Syst. Video Technol., vol. 15, no. 12, pp. 1594-1603, Dec. 2005.
19. Y. H. Jan and D. W. Lin, "Extraction, of video objects by combined motion and edge analysis," in Proc. IEEE Int. Symp. Circuits and Sys., vol. 5. Scottsdale, Arizona, May 2002, pp. 677-680.
20. C. Kim and J.-N. Hwang, "Fast and automatic video object segmentation and tracking for content-based applications," IEEE Trans. Circuits Syst. Video Technol., vol. 12, no. 2, pp. 122-129, Feb. 2002.
21. R. Adams and L. Bischof, "Seeded region growing," IEEE Trans. Pattern Anal Mach. Intell., vol. 16, no. 6, pp. 641-647, Jun. 1994.
22. Y. Wang, K.-F. Loe, T. Tan, and J.-K. Wu, "Spatiotemporal video segmentation based on graphic model," IEEE Trans. Image Process., vol. 14, no. 7, pp. 937-947, Jul. 2005.
23. M. M. Chang, A. M. Tekalp, and M. I. Sezan, "Simultaneous motion estimation and segmentation," IEEE Trans. Image Process., vol. 6, no. 9, pp. 1326-1333, Sep. 1997.
24. B. K. P. Horn and B. G. Schunck, "Determining optical flow," Massachusetts Institue of Technology, AI Memo. 572, Apr. 1980.
25. M.-B. Nicolas and A. Zaccarin., "Moving cast shadow detection from, a Gaussian mixture shadow model," Computer Vision Pattern Recognition., vol. 2, pp. 643-648, Jun. 2005.
26. Y. Wang, K.-F. Loe, and J.-K. Wu, "A dynamic conditional random, field model for foreground and shadow segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 2, pp. 279-289, Feb. 2006.
27. S. Z. Li, "Markov random, field modeling in computer vision," in Proc. Eur: Conf. Comput. Vision, Stockholm, Sweden, 1994, pp. 361-370.
28. P. B. Chou and C. M. Brown, "The theory and practice of Bayesian image labeling," Int. J. Comput. Vis., vol. 4, no. 3, pp. 185-210, 1990.