Semiautomatic video object segmentation using VSnakes

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 13, Issue 1, 2003, Pages 75-82

  Sun, Shijun ^a,b   Haynor, David R ^c   Kim, Yongmin ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b SHARP LABORATORIES OF AMERICA   (United States)

^c UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

Author keywords

Contour relaxation; Segmentation; Tracking; Video object; VSnakes

Indexed keywords

ALGORITHMS; COMPUTER HARDWARE; IMAGE CODING; IMAGE SEGMENTATION;

VIDEO OBJECT SEGMENTATION;

VIDEO SIGNAL PROCESSING;

EID: 0037287713     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2002.808089     Document Type: Article

References (19)

1. J. L. Mitchell, W. B. Pennebaker, C. E. Fogg, and D. J. LeGall, MPEG Video: Compression Standard. New York: Chapman & Hall, 1996.
2. MPEG-4 Overview-(Seoul Version), ISO/IEC JTC1/SC29/WG11 N2725, Mar. 1999.
3. M. Wollborn, R. Mech, S. Colonnese, U. Mascia, G. Russo, P. Talone, J. G. Choi, M. Kim, M. H. Lee, and C. Ahn, "Description of automatic segmentation techniques developed and tested for MPEG-4 version 1,", ISO/IEC JTC1/SC29/WG11 MPEG97/2702, Oct. 1997.
4. J. Pan, S. Li, and Y. Zhang, "Automatic extraction of moving objects using multiple features and multiple frames," in Proc. IEEE Int. Symp. Circuits and Systems (ISCAS) 2000, Geneva, May 2000.
5. T. Meier and K. N. Ngan, "Automatic segmentation of moving objects for video object plan generation," IEEE Trans. Circuits Syst. Video Technol., vol. 8, pp. 525-538, Sept. 1998.
6. C. Gu and M. C. Lee, "Semiautomatic segmentation and tracking of semantic video objects," IEEE Trans. Circuits Syst. Video Technol., vol. 8, pp. 572-584, Sept. 1998.
7. L. D. Cohen and R. Kimmel, "Global minimum for active contour models: A minimal path approach," Int. J. Comput. Vis., vol. 24, pp. 57-78, Aug. 1997.
8. E.N. Mortensen and W. A. Barrett, "Toboggan-based intelligent scissors with a four-parameter edge model," in Proc. 18th IEEE Conf. CVPR, vol. 2, June 1999, pp. 452-458.
9. S. Sun and Y. Kim, "Color clustering for scene change detection and object tracking in video sequences," U.S. Patent 6 272 250.
10. S. Sun, H. W. Park, and Y. Kim, "Template matching using correlative auto-predictive search," U.S. Patent 6 301 387.
11. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," Int. J. Comput. Vis., vol. 1, pp: 321-331, Jan. 1988.
12. [12] L. D. Cohen, "Note: On active contour models and ballonns," in CVGIP: Image Understanding, vol. 53, Mar. 1991, pp. 211-218.
13. A. Amini, T. E. Weymouth, and R. C. Jain, "Using dynamic programming for solving various problems in vision," IEEE Trans. Pattern Anal. Machine Intell., vol. 12, pp. 855-867, Sept. 1990.
14. A. J. Viterbi, "Error bounds for convolutional codes and an asymptotically optimum decoding algorithm," IEEE Trans. Inform. Theory, vol. IT-13, pp. 260-269, Apr. 1967.
15. A. Blake and M. Isard, Active Contours: The Application of Techniques From Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion. New York: Springer, 1998.
16. R. Singh, R. Vasquez, and R. Singh, "Comparison of daubechies, coiflet, and symlet for edge detection," Proc. SPIE, vol. 3074, pp. 151-159, Apr. 1997.
17. V. A. Christopoulos, P. D. Muunck, and J. Cornelis, "Contour simplification for segmented still image and video coding: Algorithms and experimental results," Signal Processing: Image Commun., vol. 14, pp. 335-357, Feb. 1999.
18. C. Gu and M. Kunt, "Contour simplification and motion compensated coding," Signal Processing: Image Commun., vol. 7, pp. 279-296, Nov. 1995.
19. C. Basoglu, D, Kim, R. J. Gove, and Y. Kim, "High-performance image computing with modern microprocessors," Int. J. Imaging Syst. Technol., vol. 9, pp. 407-415, Dec. 1998.