Title :
Tracking articulated objects in real-time range image sequences
Author_Institution :
Interval Res. Corp., Palo Alto, CA, USA
Abstract :
A simple algorithm for tracking the pose of articulated objects in real-time range image sequences is proposed. This method models each target segment as a planar patch bounded by the convex hull of two circles, and utilizes both edge-like and region-like information in matching the model to the target. It uses hard constraints for joint attachment and is designed to be robust to occlusions and missing data. Experimental results are presented in which a human arm is successfully tracked over 26 frames of real, video-rate range imagery
Keywords :
active vision; image sequences; motion estimation; real-time systems; target tracking; video signal processing; articulated object pose tracking; convex hull; edge-like information; hard constraints; human arm; image frames; joint attachment; missing data; model-target matching; occlusions; planar patch; real-time range image sequences; region-like information; robustness; target segments; video-rate range imagery; Application software; Computer vision; Electrical capacitance tomography; Humans; Image segmentation; Image sequences; Milling machines; Motion estimation; Stereo vision; Target tracking;
Conference_Titel :
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0164-8
DOI :
10.1109/ICCV.1999.791286
