Document Type

Conference Proceeding

Publication Date

6-2004

Publication Title

IEEE Workshop on Articulated and Nonrigid Motion

Abstract

Computers should be able to detect and track the articulated 3-D pose of a human being moving through a video sequence. Current tracking methods often prove slow and unreliable, and many must be initialized by a human operator before they can track a sequence. This paper introduces a simple yet effective algorithm for tracking articulated pose, based upon looking up observed silhouettes in 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.

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.

Code implementation: http://cs.smith.edu/~nhowe/research/code/index.html#silcompare

anm04.pps (1469 kB)

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