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
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;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.903738