Two-handed gesture tracking incorporating template warping with static segmentation

Yu Huang, Thomas S. Huang, Heinrich Niemann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we present a template-based method of motion estimation which tracks two-handed-gestures. In our method the gesturing information of temporalmotion and spatial luminance is fully utilized. The dominant motion of the detected region corresponding to the tracked object (some hand or the head) is computed. Using this result the object template is warped to yield a prediction template. Incorporated with static segmentation using the watershed algorithm the warped template will be updated through comparison of each sub-region with the prediction template. Tracking results for a set of two-handed command gestures are given to demonstrate its performance.

Original languageEnglish (US)
Title of host publicationProceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002
PublisherIEEE Computer Society
Pages275-280
Number of pages6
ISBN (Print)0769516025, 9780769516028
DOIs
StatePublished - 2002
Externally publishedYes
Event5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002 - Washington, DC, United States
Duration: May 20 2002May 21 2002

Publication series

NameProceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002

Other

Other5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002
Country/TerritoryUnited States
CityWashington, DC
Period5/20/025/21/02

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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