Visual hand gesture segmentation using signer model for real-time human-computer interaction application

Tsung Han Tsai, Chung Yuan Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The task of automatic gesture segmentation is highly challenging due to the computational burden, the presence of unpredictable body motion and ambiguous nongesture hand motion. In this paper, a new approach is developed using Hausdorff based model tracking technique for the application of real-time human-computer interaction. This paper proposed a Three Phases Model Tracking approach, which consists of two main stages; one is motion history analysis, which classifies dynamic gesture into preparation, retraction and nucleus state based on temporal relationship. The other is model tracking, which tracks signer model and object model with different constraint based on the classified state. Finally, gesture model is extracted based on matching object model and signer model and the hand gesture region is segmented from the gesture model. Experiments are performed to test the robustness of gesture segmentation under various hand scale and complex background. The segmentation error rate and computational complexity are also analyzed to demonstrate that the proposed Three Phases Model Tracking approach can be applicable to real-time human-computer interaction system.

Original languageEnglish
Title of host publication2007 IEEE Workshop on Signal Processing Systems, SiPS 2007, Proceedings
Pages567-572
Number of pages6
DOIs
StatePublished - 2007
Event2007 IEEE Workshop on Signal Processing Systems, SiPS 2007 - Shanghai, China
Duration: 17 Oct 200719 Oct 2007

Publication series

NameIEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
ISSN (Print)1520-6130

Conference

Conference2007 IEEE Workshop on Signal Processing Systems, SiPS 2007
Country/TerritoryChina
CityShanghai
Period17/10/0719/10/07

Keywords

  • Hand segmentation
  • Hausdorff distance
  • Human-computer interaction
  • Model track
  • Motion analysis

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