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

Tsung Han Tsai, Chung Yuan Lin

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
主出版物標題2007 IEEE Workshop on Signal Processing Systems, SiPS 2007, Proceedings
頁面567-572
頁數6
DOIs
出版狀態已出版 - 2007
事件2007 IEEE Workshop on Signal Processing Systems, SiPS 2007 - Shanghai, China
持續時間: 17 10月 200719 10月 2007

出版系列

名字IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
ISSN(列印)1520-6130

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???2007 IEEE Workshop on Signal Processing Systems, SiPS 2007
國家/地區China
城市Shanghai
期間17/10/0719/10/07

指紋

深入研究「Visual hand gesture segmentation using signer model for real-time human-computer interaction application」主題。共同形成了獨特的指紋。

引用此