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
This work is licensed under a Creative Commons Attribution 4.0 International License.
Rights
© Nicholas Howe
Recommended Citation
Howe, Nicholas, "Silhouette Lookup for Automatic Pose Tracking" (2004). Computer Science: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/csc_facpubs/113
Comments
Author’s submitted manuscript.
Code implementation: http://cs.smith.edu/~nhowe/research/code/index.html#silcompare