Visual Tracking of Self-Occluding Articulated Objects

Visual Tracking of Self-Occluding Articulated Objects (1995)

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by James M. Rehg , Takeo Kanade

Venue:	In Proc. ICCV
Citations:	11 - 1 self

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Datum	Value	Source
TITLE	Visual tracking of self-occluding articulated objects	INFERENCE
AUTHOR NAME	James M. Rehg	user correction - Legacy Corrections
AUTHOR AFFIL	School of Computer Science; Carnegie Mellon University	user correction - Legacy Corrections
AUTHOR ADDR	Pittsburgh, PA 15213	user correction - Legacy Corrections
AUTHOR NAME	Takeo Kanade	user correction - Legacy Corrections
AUTHOR AFFIL	School of Computer Science; Carnegie Mellon University	user correction - Legacy Corrections
AUTHOR ADDR	Pittsburgh, PA 15213	user correction - Legacy Corrections
ABSTRACT	Computer sensing of hand and limb motion is an important problem for applications in human-computer interaction, virtual reality, and athletic performance measurement. We describe a framework for local tracking of self-occluding motion, in which parts of the mechanism obstruct each others visibility to the camera. Our approach uses a kinematic model to predict occlusion and windowed templates to track partially occluded objects. We analyze our model of self-occlusion, discuss the implementation of our algorithm, and give experimental results for 3D hand tracking under significant amounts of self-occlusion. These results extend the DigitEyes system for articulated tracking described in [22, 21] to handle self-occluding motions. Contents 1 Introduction 1 2 A Framework for Tracking Self-Occluding Objects 2 2.1 Representing Self-Occlusion with Layered Templates : : : : : : : : : : : : : : 3 2.2 Local Visibility Orders for Templates : : : : : : : : : : : : : : : : : : : : : : 4 2.3 Wind...	user correction - Legacy Corrections
YEAR	1994	INFERENCE
VENUE	In Proc. ICCV	INFERENCE
VENUE TYPE	TECHREPORT	INFERENCE
TECH	Technical Report CMU-CS-94-224	INFERENCE
CITATIONS	30 found	ParsCit 1.0