Title :
Visual tracking with deformation models
Author :
Rehg, James M. ; Witkin, Andrew P.
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
A novel solution to the 2-D tracking problem is presented. This solution has two major components: a deformation model that constrains the interpretation of motion, and a set of energy-based match criteria that specify image features to be used in tracking. The separation of the motion model from the match features is an advantage of this approach over previous tracking systems. An implementation of these ideas has been shown to exhibit fast and flexible operation over a wide class of image motions. Experimental results are given for two real-world image sequences
Keywords :
computer vision; optimisation; tracking; 2-D tracking; computer vision; deformation models; energy-based match criteria; image features; image motions; motion model; optimisation; real-world image sequences; visual tracking; Biomedical imaging; Deformable models; Image motion analysis; Image sequences; Layout; Medical robotics; Motion analysis; Robots; Tracking; Vehicle dynamics;
Conference_Titel :
Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-8186-2163-X
DOI :
10.1109/ROBOT.1991.131693
