Title :
MLESAC tracking with 2D revolute-prismatic articulated models
Author :
McAllister, G. ; McKenna, S.J. ; Ricketts, I.W.
Author_Institution :
Dept. of Appl. Comput., Dundee Univ., UK
Abstract :
A model for tracking articulated objects is proposed using a 2D revolute-prismatic joint. An extension of the RANSAC and MLESAC algorithms incorporating feature weights is used to perform robust tracking. The models are suitable for tracking certain human body structures. Limbs are modelled as constrained planar patches. A patch can rotate about a joint point that is displaced relative to the previous patch. A scenario in which the forearm is tracked is used to illustrate the method.
Keywords :
computer vision; graph theory; image motion analysis; probability; tracking; 2D revolute-prismatic articulated models; 2D revolute-prismatic joint; MLESAC algorithm; RANSAC algorithm; articulated objects tracking; constrained planar patches; feature weights; forearm tracking; robust tracking; Biological system modeling; Fingers; Humans; Image motion analysis; Joints; Layout; Noise robustness; Terminology; Tracking; Turning;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1048405
