Motion detection using wavelet analysis and hierarchical Markov models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3667 LNCS, Issue , 2006, Pages 64-75

  Demonceaux, Cédric ^a,b   Kachi Akkouche, Djemâa ^a  

^a EA 3299   (France)

^b Faculté de Mathématiques et d Informatique   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE ANALYSIS; ITERATIVE METHODS; MARKOV PROCESSES; OPTICAL RESOLVING POWER; WAVELET TRANSFORMS;

IMAGE SEQUENCE; MARKOV RANDOM FIELD; MOTION DETECTION; TEMPORAL ALIASING;

MOTION ESTIMATION;

EID: 33745762042     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11676959_6     Document Type: Conference Paper

References (19)

1. T. Aach, L. Duembgen, R. Mester, and D. Toth. Bayesian illumination-invariant motion detection. In ICIP01, pages 640-643, 2001.
2. C. Bernard. Discrete wavelet analysis: A new framework for fast optic flow computation. In ECCV98, pages 354-368, 1998.
3. J. Besag. On the statistical analysis of dirty pictures. RoyalStat, B-48(3):259-302, 1986.
4. P. Bouthemy and P. Lalande. Detection and tracking of moving objects based on a statistical regularization method in space and time. In ECCV90, pages 307-311, 1990.
5. M.M. Chang, A.M. Tekalp, and M.I. Sezan. Simultaneous motion estimation and segmentation. IP, 6(9):1326-1333, September 1997.
6. D. Cremers. A variational framework for image segmentation combining motion estimation and shape regularization. In CVPR, pages 53-58, 2003.
7. F. Heitz, P. Perez, and P. Bouthemy. Multiscale minimization of global energy functions in some visual recovery problems. CVGIP, 59(1):125-134, January 1994.
8. P.W. Holland and R.E. WelschHsu. Robust regression using iteratively reweighted least-squares. Commun. Statist.-Theor. Meth., A6:813-827, 1977.
9. Y.Z. Hsu, H.H. Nagel, and G. Rekers. New likelihood test methods for change detection in image sequences. CVGIP, 26(1):73-106, April 1984.
10. M. Irani, B. Rousso, and S. Peleg. Detecting and tracking multiple moving objects using temporal integration. In ECCV92, pages 282-287, 1992.
11. F. Luthon, A. Caplier, and M. Lievin. Spatiotemporal mrf approach to video segmentation: Application to motion detection and lip segmentation. SP, 76(1):61-80, July 1999.
12. S.G. Mallat. A theory for multiresolution signal decomposition: The wavelet representation. PAMI, 11(7):674-693, July 1989.
13. H.T. Nguyen, M. Worring, and A. Dev. Detection of moving objects in video using a robust motion similarity measure. IEEE Trans. on Image Processing, 9(1):137-141, January 2000.
14. J.M. Odobez and P. Bouthemy. Detection of multiple moving objects using multiscale markov random fields, with camera compensation. In ICIP94, pages 257-261, 1994.
15. N. Paragios, P. Perez, G. Tziritas, C. Labit, and P. Bouthemy. Adaptative detection of moving objects using multiscale techniques. In Proc. 3rd IEEE Int. Conf. Image Processing, ICIP'96, Lausanne, Switzerland, September 1996.
16. P. Perez, A. Chardin, and J.M. Laferte. Noniterative manipulation of discrete energy-based models for image analysis. PR, 33(4):573-586, April 2000.
17. P.L. Rosin. Thresholding for change detection. CVIU, 86(2):79-95, May 2002.
18. E. Sifakis and G. Tziritas. Moving object localisation using a multi-label fast marching algorithm. Signal Processing: Image Communication, 16(10):963-976, 2001.
19. W.B. Thompson and T.C. Pong. Detecting moving objects. IJCV, 4(1):39-58, January 1990.