Tracking articulated objects in real-time range image sequences

Author

Lin, Michael H.

Author_Institution

Interval Res. Corp., Palo Alto, CA, USA

Volume

1

fYear

1999

fDate

1999

Firstpage

648

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on

Conference_Location

Kerkyra

Print_ISBN

0-7695-0164-8

Type

conf

DOI

10.1109/ICCV.1999.791286

Filename

791286