Image and Vision Computing

Computers should be able to detect and track the articulated 3D pose of a human being moving through a video sequence. Incremental tracking methods often prove slow and unreliable, and many must be initialized by a human operator before they can track a sequence. This paper describes a simple yet ef...

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Veröffentlicht in:	Image and vision computing 2007-03, Vol.25 (3), p.331-341
1. Verfasser:	Howe, Nicholas R
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Articulated Collection Human Three dimensional Tracking Tracking errors
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container_title	Image and vision computing
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creator	Howe, Nicholas R
description	Computers should be able to detect and track the articulated 3D pose of a human being moving through a video sequence. Incremental tracking methods often prove slow and unreliable, and many must be initialized by a human operator before they can track a sequence. This paper describes a simple yet effective algorithm for tracking articulated pose, based upon looking up observations (such as body silhouettes) within a collection of known poses. The new algorithm runs quickly, can initialize itself without human intervention, and can automatically recover from critical tracking errors made while tracking previous frames in a video sequence.
doi_str_mv	10.1016/j.imavis.2005.10.006
format	Article
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identifier	ISSN: 0262-8856
ispartof	Image and vision computing, 2007-03, Vol.25 (3), p.331-341
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source	ScienceDirect Journals (5 years ago - present)
subjects	Algorithms Articulated Collection Human Three dimensional Tracking Tracking errors
title	Image and Vision Computing
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