Moving object segmentation using optical flow with active contour model

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA

Volumn , Issue , 2008, Pages

  Zinbi, Youssef ^a   Chahir, Youssef ^a   Elmoataz, Abder ^a  

^a UNIVERSITÉ DE CAEN   (France)

Author keywords

Active contour; Image and video segmentation; Optical flow; Tracking

Indexed keywords

COMMUNICATION; FEATURE EXTRACTION; IMAGE SEGMENTATION; IMAGING TECHNIQUES; PHOTOGRAPHY; TECHNOLOGY; TRACKING (POSITION); VIDEO RECORDING;

ACTIVE CONTOUR; ACTIVE CONTOUR MODEL; BACKGROUND IMAGES; ENERGY (E); IMAGE AND VIDEO SEGMENTATION; INFORMATION AND COMMUNICATION TECHNOLOGIES; INTERNATIONAL CONFERENCES; MIXTURE OF GAUSSIAN; MOVING OBJECT SEGMENTATION; MOVING OBJECTS; OBJECT SEGMENTATION; OPTICAL FLOW; PERCEPTUAL INFORMATION; REGIONS OF INTEREST; STATIC BACKGROUND; TEST SEQUENCES; TRACKING; VIDEO SEQUENCING; VISUAL OBJECTS;

OPTICAL FLOWS;

EID: 49149097346     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTTA.2008.4530112     Document Type: Conference Paper

References (11)

1. L. Haiying, C. Rama, R. Azriel, "Accurate dense optical flow estimation using adaptive structure tensors and a parametric model", IEEE Image Processing, vol.12, pp.1170-1180, 2003.
2. T. Amiaz and N. Kiryati, "Dense discontinuous optical flow via contour-based segmentation", in Proc. ICIP 2005, Genova, Italy, September 2005, Vol. III, pp. 1264-1267.
3. L. Haiying, C. Rama, R. Azriel, "Accurate dense optical flow estimation using adaptive structure tensors and a parametric model", IEEE Image Processing,vol. 12, pp. 1170-1180, 2003
4. Weickert, J. and C. Schnorr: 2001, 'Variational Optic flow Computation with a Spatio-Temporal Smoothness Constraint'. Journal of Mathe. Imaging and Vision 14 245-255
5. Aubert G., M. Barlaud, and S. Jehan-Besson, 'Video Object Segmentation Using Eulerian Region-Based Active Contours'. In: ICCV Proceedings. Vancouver, Canada, 2001
6. H. Wechsler, "Computational vision" Academic Press, Inc. pp. 218-219, ISBN 0-12-741245-X
7. B. K. Horn and B. G. Schunck, "Determining optical flow", Artificial Intelligence. 1981.
8. V. Caselles, R. Kimmel et G. Sapiro. Geodesic active contours. IEEE International Conference on Computer Vision, pages 694-699, Boston, MA, USA, 1995.
9. S. C. Zhu and A. Yuille, "Region competition: unifying snakes, region growing, and bayes/MDL for multiband image segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 884-900, September 1996.
10. L. A. Vese and T. F. Chan, "A multiphase level set framework for image segmentation using the Mumford and Shah model", Int.Journal of Comp. Vision 50(3), 271-293, 2002.
11. Y. Zinbi, Y. Chahir and A. Elmoataz, Extraction d'objets vidéo: une approche combinant les contours actifs et le flot optique, EGC, Lille, France. Revue des Nouvelles Technologies de l'Information RNTI-E-6 Cépaduès-Èditions, ISBN 2-85428-718-5, pp. 41-46, 2006