Title :
Efficient tracking of regular patterns on non-rigid geometry
Author_Institution :
Michigan Univ., Ann Arbor, MI, USA
Abstract :
We introduce a real-time robust tracking procedure for a regular pattern marked on a flexible moving surface such as cloth. Our system is capable of maintaining the tracked grid structure for long periods of time without quality deterioration, and requires minimal user interaction. It has been tested on videos of an actor dressed in a specially marked T-shirt and behaves favorably with the presence of self-occlusions, self-shadowing and folding of the cloth. The focus of this paper is on single camera video sequence processing, even though 3D shape reconstruction with multiple cameras is the motivating goal.
Keywords :
image reconstruction; image sequences; real-time systems; video signal processing; 3D shape reconstruction; nonrigid geometry; real-time robust tracking; regular patterns tracking; single camera video sequence processing; Cameras; Ergonomics; Facial animation; Geometry; Image reconstruction; Spatial coherence; Surface reconstruction; Surface treatment; Tracking; Video sequences;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1048487