Bibliographie
1. A. Makarov, Comparison of background extraction based
intrusion detection algorithms, Dans International Conference On Image
Processing ICIP'96, pages 521-524, 1996
2. Benabbas Siavosh Département d'informatique,
Université de Toronto, Efficace Sum-Based hiérarchique Lissage
Sous \ ell_1-Norm, 2012 ;
3. B. Bascle et R. Deriche ,Region tracking through image
sequences, Rapport de recherche 2439, INRIA-Sophia Antipolis, 21 pages,
Décembre 1994.
4. B. Bascle, P. Bouthemy, R. Deriche, et F. Meyer, Suivi de
primitives complexes sur une séquence d'images, Rapport de recherche
2428, INRIA-Sophia Antipolis, Décembre 1994. 22 pages.
5. B. Lucas, T. Kanade, «An iterative image registration
technique with an application to stereo vision», in Proc. of the
International Joint Conference on Artificial Intelligence, pp 674-679, 1981.
6. B. Wu and R. Nevatia, «Tracking of multiple,
partially occluded humans based on static body part detection», in IEEE
Proc. Of the conference on Computer Vision and Pattern Recognition, pp.
951-958, 2006.
7. B.D. Lucas et T. Kanade : An iterative image registration
technique with an application to stereo vision. Dans IJCAI81, pages 674-679,
1981.] ainsi que celle de Horn et Schunck [B. K. P. Horn et B. G. Schunck :
Determining optical flow. Dans Artificial
Inteligence, volume 17, pages 185-203, 1981.
8. B.D. Zarit, B.J. Super et F.K.H. Quek. Comparison of five
color models in skin pixel classification. Dans Workshop on recognition,
analysis and tracking of faces
and gestures in Real-Time systems, pages 58-63, 1999.
9. C. Chesnaud. Techniques statistiques de segmentation par
contour actif et mise en oeuvre rapide. Thèse de Doctorat de
l'Université de d'Aix-Marseille), Février 2000.
10. C. Papageorgiou, M. Oren and T. Poggio, «A general
framework for object detection», in Proc. of the IEEE International
Conference on Computer Vision, pp. 555-562, 1999.
11.
59
C. Stauffer and W.E.L. Grimson. Adaptive background mixture
models for real-time tracking. international conference on Computer Vision and
Pattern Recognition, 2, 1999.
12. C. Wren, A. Azarbayejani, T. Darrell, and A. Pentland.
Pfnder : Real-time tracking of the human body. Pattern Analysis and Machine
Intelligence, 1997.
13. D.G. Lowe, Robust model-based motion tracking through the
intégration of search and estimation, International Journal of Computer
Vision, 8(2) :113-122, 1992.
14. Dee, H. M., Velastin, S. A. «How close are we to
solving the problem of automated visual surveillance? A review of real-world
surveillance, scientific progress and evaluative mechanisms». Machine
Vision and Applications, 19 (5-6). Septembre 2008. pp. 329-343.
15. E. François, Interprétation qualitative du
mouvement à partir d'une séquence d'images, Thèse de
Doctorat de l'Université de Rennes I, Juin 1991.
16. Fatiha MEDJAHED , Détection et Suivi d'Objets en
Mouvement Dans Une Séquence d'Images, Mémoire Magister,
Université Mohamed Boudiaf Faculté de Génie Electrique,
2012
17. F.G. Meyer et P. Bouthemy, Region-based tracking using
affine motion models in long image sequences, CVGIP : Image Understanding,
60(2) :119-140, September 1994.
18. G. Gomez et E. Morales. Automatic feature reconstruction
and a simple rule induction algorithm for skin detection. Dans ICML Workshop On
Machine Learning in Computer Vision, pages 31-38, 2002.
19. H. Nicolas et C. Labit, Motion and illumination variation
estimation using a hierarchy of models : application to image sequence coding,
Publication interne 742, IRISA, 1993.
20. H. Nicolas, Hiérarchie de modèles de
mouvement et méthodes d'estimation associées, application au
codage de séquences d'images, Thèse de doctorat,
IRISA-Université de Rennes 1, 1992.
21. Home Office Research, Development and Statistics
Directorate. Cité dans
http://www.youarebeingwatched.us/about/182/#footnote10]
et [Gill and Spriggs, Assessing the Impact of CCTV. (2005) Home Office Study.
Cité dans
http://www.youarebeingwatched.us/about/182/#footnote10].
22.
60
Ivana Mikiæ, Pamela C. Cosman, Greg T. Kogut et Mohan M.
Trivedi : Moving shadow and object detection in traffic scenes. Dans
International Conference on Pattern Recognition (ICPR), pages 321-324, 2000
23. Ismail Haritaoglu, David Harwood et Larry S. Davis. Ghost
: a human body part labelling system using silhouette. Dans Proceedings IEEE
Conf. On Pattern Recognition, volume 1, pages 77-82, 1998.
24. J. Kovac, P. Peer et F. Solina. Human skin color
clustering for face detection. EUROCON 2003 Computer as a Tool, 2 :144-148,
2003.
25. J. Shi and C. Tomasi, «Good features to track»,
in Proc. of the international conference on Computer Vision and Pattern
Recognition, pp. 593-600, 1994.
26. J.F. Gobeau, «Détecteurs de mouvement
à infrarouge passif (dé- tecteurs IRP)», Colloque Capteurs,
2007.
27. Jason Brand et John S. Mason. A comparative assessment of
three approaches to pixel-level human skin-detection. Dans 15th International
Conference on Pattern Recognition, volume 1, pages 1056-1059, 2000.
28. K. K. C. Evelet et R. Bolles, Background modeling for
segmentation of video-rate stereo sequences, Dans CVPR98, pages 266-272,
1998.
29. K. Kim, T. H. Chalidabhongse, D. Hanuood, et L. Davis.
Background modeling and substraction by codebook construction. 2004
30. K. Kim, T.H. Chalidabhongse, D. Harwood, and L. Davis.
Real-time foreground-background segmentation using codebook model. Real-Time
Ima- ging, 11 :172185, 2005.
31. L. Bonnaud, Schémas de suivi d'objets vidéo
dans une séquence animée : application à l'interpolation
d'images intermédiaires, Thèse de doctorat,
IRISA-Université de Rennes, 1998.
32. L. Bonnaudet C. Labit, Etude d'algorithmes de suivi
temporel de segmentation basée mouvement pour la compression de
séquences d'images, Publication interne 793, IRISAUniversité de
Rennes, 43 pages, Janvier 1994.
33. L. Sigal, S. Sclaroff et V. Athitsos. Estimation and
prediction of evolving color distributions for skin segmentation under varying
illumination,. Dans IEEE Conference on Computer Vision and Pattern Recognition,
volume 2, pages 152159,2000.
34.
61
Liang Zhao, «Dressed Human Modeling, Detection, and Parts
Localization», PhD thesis, The Robotics Institute, Carnegie Mellon
University, Pittsburgh, 2001.
35. M. Kass, A. Witkin, et D. Terzopoulos, Snakes : Active
contour models. International Journal of Computer Vision, 1 :321-331, 1998.
36. M. Kunert D. M. Gavrila et U. Lages : A multi-sensor
approach for the protection of vulnerable traffic participants - the protector
project. Dans Proc. of the IEEE Instrumentation and Measurement Technology
Conference, volume 3, pages 2044-2048, 2001.
37. Michael J. Jones et James M. Rehg. Statistical color
models with application to skin detection. Int. J. Comput. Vision, 46(1)
:81-96, 2002.
38. N. Dalal and B. Triggs, «Histograms of oriented
gradients for human detection», in IEEE Proc. of the conference on
Computer Vision and Pattern Recognition, pp. 886- 893, 2005.
39. N.K. Paragios, Geodesic active region and level set
methods : Contribution and applications in artificial vision, Thése de
doctorat, Sophia Antipolis, Janvier 2000.
40. N.M. Oliver, B. Rosario, and A.P. Pentland. A bayesian
computer vision system for modeling human interactions. Pattern Analysis and
Machine Intelligence, 22 :831p843, 2000.
41. P. Viola and M. Jones, «Rapid object detection using
a boosted cascade of simple features», in IEEE Proc. of the conference on
Computer Vision and Pattern Recognition, pp. 511-518, 2001.
42. P. Viola, M.J. Jones and D. Snow, «Detecting
pedestrians using patterns of motion and appearance», in International
Journal of Computer Vision, pp. 153-161, 2005.
43. Q. Zhao, J. Kang, H. Tao and W. Hua, «Part Based
Human Tracking In A Multiple Cues Fusion Framework», in Proc. of the
International Conference on Pattern Recognition, pp. 450-455,2006.
44. R. B. Church, K. Schonert-Reichl, N. Goodman, S. D. Kelly
et S. Ayman-Nolley. The role of gesture and speech communication as refections
of cognitive understanding. Journal of Contemporary, 63 :123-140, 1995.
45. R. Jain, Différence and accumulative difference
pictures in dynamic scene analysis, Image and Vision Computing, 2(2) :99-108,
may 1984
46.
62
R.E. Schapire, «The boosting approach to machine learning
: An overview,» in Workshop on N.E.C., 2002.
47. Rafael C. Gonzalez et Richard E. Woods : Digital Image
Processing (2nd Ed.), chapitre 10, Morphological Image Processing, pages
519-566. Prentice Hall, 2002.
48. Rita Cucchiara, Costantino Grana, Massimo Piccardi,
Andrea Pratti et Stefano Sirotti : Improving shadow suppression in moving
object detection with hsv color information. Dans Intelligent Transportation
Systems, pages 334- 339. IEEE, 2001
49. S. Jehan-Besson, Modèles de contours actifs
basés régions pour la segmentation d'images et de vidéos,
Thèse de Doctorat de l'Université de Nice - Sophia Antipolis,
Janvier 2003
50. S. Venegas-Martinez, Analyse et segmentation de
séquences d'images en vue d'une reconnaissance de formes efficace,
Thèse de Doctorat de l'Université René Descartes - Paris
V, 2001.
51. T. Horprasert, D. Harwood et L. Davis : A robust
background subtraction and shadow detection. In Proceedings of the ACCV,
2000
52. V. Caselles, F. Catte, T. Coll, et F. Dibos. A geometric,
model for active contours in image processing, Numerische Mathematik, 66 :1-
31, 1993.
53. V. Garcia-Garduno et C. Labit, Suivi de segmentation
spatiotemporelle pour la compression de séquences animées,
Quatorzième Colloque GRETSI, Juan-les-Pins, Septembre 1993.
54. W. Long et Y. Yang, Stationary background generation : An
alternative to the difference of two images, Pattern Recognition, 23
:1351-1359, 1990
55. Welsh, B. and Farrington, D., Crime Prevention Effects of
Closed Circuit Television: A Systematic Review (2002),
56. Y. Benezeth, P.M. Jodoin, B. Emile, H. Laurent, C.
Rosenberger, «Review and evaluation of commonly-implemented background
subtraction algorithms», in Proc. of the International Conference on
Pattern Recognition, 2008.
57. Y . Brookner, Tracking and Kalman Filtering Made Easy,
John Wiley & Sons, 1998.
58. Y R. Raquel, Pinho, R. S. Joao Manuel, Tavares, V.
Miguel. Correia, An Efficient and Robust Tracking System using Kalman Filter,
VIPSI- 2006 VENICE, 2006.
59. Y. Bar-shalom and T.E. Fortman, Tracking and Data
Association New York : Academic, 1988.
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