Document Type

Article

Publication Date

3-2007

Publication Title

Image and Vision Computing

Abstract

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.

Keywords

Monocular tracking, Articulated tracking, Pose tracking, Silhouette lookup, Failure recovery

Volume

25

Issue

3

First Page

331

Last Page

341

DOI

doi.org/10.1016/j.imavis.2005.10.006

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Rights

© Nicholas Howe

Comments

Author’s submitted manuscript.

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