DocumentCode
2878503
Title
Detection and tracking of moving objects using a new level set based method
Author
Besson, Stephaie Jehan ; Barlaud, Michel ; Aubert, Gilles
Author_Institution
CNRS, Sophia Antipolis, France
Volume
3
fYear
2000
fDate
2000
Firstpage
1100
Abstract
In this paper, we propose a new method for detecting and tracking moving objects using active contours. The first contribution of our work is to propose a region-based approach using active contours to segment moving objects. A criterion including constraints on the defined domains is introduced and embedded in a dynamical scheme. Discontinuities between regions are explicitly taken into account by performing the derivative of the criterion according to the distribution theory. A PDE-driven active contour is obtained and implemented with the level set method. The final segmentation provides the partition into regions that minimize the criterion and thus moving objects are detected. The second contribution of our work is to propose a local motion estimation based on the level sets resulting from the segmentation process. This local motion estimation is well adapted to track deformable objects. Finally, the method is evaluated on real sequences
Keywords
image segmentation; minimisation; motion estimation; object detection; optical tracking; partial differential equations; PDE-driven active contour; deformable object tracking; distribution theory; level set based method; local motion estimation; moving object detection; moving object segmentation; moving object tracking; region discontinuities; region-based approach; Active contours; Image segmentation; Level set; MPEG 4 Standard; MPEG 7 Standard; Motion analysis; Motion estimation; Object detection; Optical computing; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.903738
Filename
903738
Link To Document