Spatiotemporal motion boundary detection and motion boundary velocity estimation for tracking moving objects with a moving camera: A level sets PDEs approach with concurrent camera motion compensation

IEEE Transactions on Image Processing

Volumn 13, Issue 11, 2004, Pages 1473-1490

  Feghali, Rosario ^a   Mitiche, Amar ^a  

^a INRS EMT   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; MATHEMATICAL MODELS; MOTION COMPENSATION; MOTION ESTIMATION; OBJECT RECOGNITION; PARTIAL DIFFERENTIAL EQUATIONS;

LEVEL SETS PARTIAL DIFFERENTIAL EQUATION; MOTION DETECTION; OPTICAL FLOW; SPATIOTEMPORAL ANALYSIS; TRACKING;

IMAGE CODING;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; COMPUTER INTERFACE; COMPUTER SIMULATION; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; MOTION; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; VALIDATION STUDY; VIDEORECORDING; WALKING;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER GRAPHICS; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MOTION; MOVEMENT; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; USER-COMPUTER INTERFACE; VIDEO RECORDING; WALKING;

EID: 7444269879     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2004.836158     Document Type: Article

References (34)

1. S. Araki, T. Matsuoka, N. Yokoya, and H. Takemura, "Real-time tracking of multiple moving object contours in a moving camera image sequence," IEICE Trans. Inform. Syst., vol. E83D, no. 7, pp. 1583-1591, July 2000.
2. S. Ayer, P. Schroeter, and J. Bigun, "Segmentation of moving objects by robust motion parameter estimation over multiple frames," in Proc. Eur. Conf. Computer Vision, vol. II, Stockholm, Sweden, 1994, pp. 316-327.
3. G. Aubert, M. Barlaud, O. Faugeras, and S. Jehan-Besson, "Image segmentation using active contours: Calculus of variations or shape gradients?," Projet CReATIVe, I3S, Rapport de recherche, I3S/RR-2002-18-FR, May 2002.
4. M. Bertalmio, G. Sapiro, and G. Randall, "Morphing active contours," IEEE Trans. Pattern Anal. Machine Intell., vol. 22, pp. 733-737, July 2000.
5. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," Int. J. Comput. Vis., vol. 22, no. 1, pp. 185-203, 1997.
6. D. Comaniciu and V. Ramesh, "Mean shift and optimal prediction for efficient object tracking," in Proc. Int. Conf. Image Processing, vol. 3, Vancouver, BC, Canada, Sept. 10-13, 2000, pp. 70-73.
7. I. Cohen and G. Medioni, "Detecting and tracking moving objects for video surveillance," in IEEE Proc. Computer Vision and Pattern Recognition, Fort Collins, CO, June 23-25, 1999.
8. M. P. Do Carmo, Differential Geometry of Curves and Surfaces. Englewood Cliffs, NJ: Prentice-Hall, 1976.
9. O. Faugeras, Three-Dimensional Computer Vision: A Geometric Viewpoint. MA: MIT Press, 1993.
10. J. H. Han and J. S. Park, "Contour matching using epipolar geometry," IEEE Trans. Pattern Anal. Machine Intell., vol. 22, pp. 358-370, Apr. 2000.
11. F. Heitz and P. Bouthemy, "Multimodal estimation of discontinuous optical flow using Markov random fields," IEEE Trans. Pattern Anal. Machine Intell., vol. 15, pp. 1217-1232, Dec. 1993.
12. E. Hildreth, "Computation underlying the measurement of visual motion," Artif. Intell., vol. 23, no. 3, pp. 309-355, 1984.
13. S. Jehan-Besson, M. Barlaud, and G. Aubert, "Detection and tracking of moving objects using a new level set based method," in Proc. Int. Conf. Pattern Recognition, Barcelona, Spain, Sept: 2000.
14. S. Jehan-Besson, M. Barlaud, and G. Aubert, "A 3-step algorithm using region-based active contours for video objects detection," EURASIP J. Appl. Signal Process., vol. 6, pp. 572-581, 2002.
15. S. Jehan-Besson, M. Barlaud, and G. Aubert, "DREAM2S: deformable regions driven by an eulerian accurate minimization medthod," Int. J. Comput. Vis., vol. 1, no. 53, pp. 45-70, 2003.
16. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," in Proc. 1st Int. Conf. Computer Vision, 1987, pp. 259-268.
17. F. Leymarie and M. Levine, "Tracking deformable objects in the plane using an active contour model," IEEE Trans: Pattern Anal. Machine Intell., vol. 15, pp. 617-634, June 1993.
18. A. R. Mansouri, A. Olivier, and J. Konrad, "Topology-independent region tracking with level sets," in Proc. Int. Conf. Image Processing, vol. 3, Vancouver, BC, Canada, Sept. 10-13, 2000, pp. 66-69.
19. A. Mansouri, "Region tracking via level set PDEs without motion computation," IEEE Trans. Pattern Anal. Machine Intell., vol. 24, pp. 947-961, July 2002.
20. R. Mech and M. Wollborn, "A noise robust method for 2D shape estimation of moving objects in video sequences considering a moving camera," Signal Processing, vol. 66, no. 2, pp. 203-217, April 1998.
21. A. Mitiche, R. Feghali, and A. Mansouri, "Tracking moving objects as spatiotemporal boundary detection," in Southwest Symposium on Image Analysis and Interpretation, Santa Fe, NM, 2002, pp. 106-110.
22. A. Mitiche, R. Feghali, and A. Mansouri, "Motion tracking as spatiotemporal boundary detection," J. Robot. Auotmat. Syst., vol. 43, no. 1, pp. 39-50, 2003.
23. M. Maziere and F. Chassaing, "Segmentation and tracking of video objects: suited to content-based video indexing, interactive television and production systems," in ICIP, vol. 2, 2000, pp. 279-282.
24. R. C. Nelson, "Qualitative detection of motion by a moving observer," Int. J. Comput. Vis., vol. 7, no. 1, pp. 33-46, 1991.
25. J. M. Odobez and P. Bouthemy, "Detection of multiple moving objects using multiscale MRF with camera motion compensation," in Proc. Int. Conf. Image Process., Austin, TX, Nov. 1994.
26. S. Osher and J. Sethian, "Fronts propagating with curvature-dependent speed: Algorithms based on the Hamilton-Jacobi formulation," J. Comput. Phys., vol. 79, pp. 1139-1145, 1988.
27. N. Paragios and R. Deriche, "Geodesic active contours and level sets for the detection and tracking of moving objects," IEEE Trans. Pattern Anal. Machine Intell., vol. 22, no. 3, pp. 266-280, Mar. 2000.
28. N. Paragios, and R. Deriche, "Geodesic active regions: a new paradigm to deal with frame partition problems in computer vision," J. Vis. Commun. Image Representation, vol. 13, pp. 249-268, 2002.
29. V. Philomin, R. Duraiswami, and L. Davis, "Pedestrian tracking from a moving vehicle," in Proc. IEEE Intelligent Vehicles Symp., Dearborn, MI, Oct. 3-5, 2000, pp. 350-355.
30. S. Kischenassamy, A. Kumar, P. Olver, A. Tannenbaum, and A. Yezzi, "Conformal curvature flows: From phase transitions to active vision," Archive Rational Mech. Anal., vol. 134, pp. 275-301,1996.
31. J. Sethian, Level Set Methods. Cambridge, U.K.: Cambridge Univ. Press, 1996.
32. A. Strehl and J. K. Aggarwal, "MODEEP: a motion-based object detection and pose estimation method for airborne FLIR sequences," Mach. Vis. Applicat., vol. 11, no. 6, pp. 267-276, Apr. 2000.
33. W. B. Thompson and T. G. Pong, "Detecting moving objects," Int. J. Comput. Vis., vol. 4, pp. 39-57, 1990.
34. S. C. Zhu, T. S. Lee, and A. L. Yuille, "Region competition: Unifying snakes, region growing, and Bayes/MDL for multiband image segmentation," IEEE Trans. Pattern Anal. Machine Intell., vol. 18, pp. 884-900, Sept. 1996.