A simple framework for spatio-temporal video segmentation and delayering using dense motion fields

IEEE Signal Processing Letters

Volumn 13, Issue 7, 2006, Pages 421-424

  Piroddi, Roberta ^a   Vlachos, Theodore ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

Motion segmentation; Optic flow; Scalable coding; Video processing

Indexed keywords

COMPUTER VISION; HIERARCHICAL SYSTEMS; MATHEMATICAL MODELS; OBJECT RECOGNITION; STATISTICS; VIDEO SIGNAL PROCESSING;

DELAYERING; OPTIC FLOW; SCALABLE CODING; STATISTICAL MOTION MODELS; VIDEO SEGEMENTATION;

IMAGE SEGMENTATION;

EID: 33745686696     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2006.873143     Document Type: Article

References (19)

1. D. Zhang and G. Lu, "Segmentation of moving objects in image sequence: A review," Circuits Syst. Signal Process., vol. 20, pp. 143-183, 2001.
2. W. Hu, T. Tan, L. Wang, and S. Maybank, "A survey on visual surveillance of object motion and behaviors," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 34, no. 3, pp. 334-352, Aug. 2004.
3. C. Stiller and J. Konrad, "Estimating motion in image sequences, a tutorial on modeling and computation of 2D motion," IEEE Signal Process. Mag., vol. 16, no. 4, pp. 70-91, Jul. 1999.
4. J. Y. A. Wang and E. H. Adelson, "Layered representation for image sequence coding," in Proc. ICASSP, 1993, vol. 1, pp. 221-224.
5. E. Tuncel and L. Onural, "Utilization of the recursive shortest spanning tree algorithm for video-object segmentation by 2-D affine motion modeling," IEEE Trans. Circuits Syst. Video Technol., vol. 10, no. 5, pp. 776-781, Aug. 2000.
6. M. Campani and A. Verri, "Motion analysis from first-order properties of optical flow," Im. Under., vol. 56, pp. 90-107, 1992.
7. T. S. Meese and M. G. Harris, "Computation of surface slant from optic flow: Orthogonal components of speed gradient can be combined," Vis. Res., vol. 37, pp. 2369-2379, 1997.
8. T. Corpetti, E. Memin, and P. Perez, "Dense estimation of fluid flows," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 3, pp. 365-380, Mar. 2002.
9. P. Salembier and F. Marques, "Region-based representations of image and video: Segmentation tools for multimedia services," IEEE Trans. Circuits Syst. Video Technol., vol. 9, no. 8, pp. 1147-1169, Dec. 1999.
10. M. J. Black and P. Anandan, "The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields," Comp. Vis. Im. Under., vol. 63, pp. 75-104, 1996.
11. M. Z. Bober and J. V. Kittler, "Estimation of complex multimodal motion: An approach based on robust statistics and Hough transform," Im. Vis. Comp., vol. 12, pp. 661-668, 1994.
12. C. Fermüller and Y. Aloimonos, "Qualitative egomotion," Int. J. Comp. Vis., vol. 15, pp. 7-29, 1995.
13. R. Cipolla, "The visual motion of curves and surfaces," Phil. Trans. R. Soc., vol. A356, no. 1740, pp. 1103-1121, 1998.
14. C.-F. Westin and H. Knutsson, "Processing incomplete and uncertain data using subspace methods," in Proc. IAPR ICPR, 1994, vol. 3, pp. 171-173.
15. R. Piroddi and M. Petrou, "Analysis of irregularly sampled data: a review," in Advanced Image and Elective Physics. New York: Elsevier, 2004, vol. 132, pp. 109-165.
16. S. C. Fu and P. Kovesi, "Extracting differential invariants of motion directly form optic flow," in Proc. School Computer Science Software Engineering Research Conf., Crawley, Australia, 2004, pp. 108-116, University of Western Australia.
17. T. Vlachos, "Simple method for estimation of global motion parameters using sparse translational motion vector fields," Electron. Lett., vol. 34, pp. 60-62, 1998.
18. R. Piroddi and T. Vlachos, "Multiple-feature segmentation of moving sequences using a rule-based approach," in Proc. BMVC, 2002, pp. 353-362.
19. R. Piroddi, and T. Vlachos, "A graph theoretical approach to multi-cue scene segmentation," in Proc. IAPR Int. Workshop Graph-Based Representations, 2001, pp. 84-94.