完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Kao, Yung-Wei | en_US |
dc.contributor.author | Gu, Hui-Zhen | en_US |
dc.contributor.author | Yuan, Shyan-Ming | en_US |
dc.date.accessioned | 2014-12-08T15:02:44Z | - |
dc.date.available | 2014-12-08T15:02:44Z | - |
dc.date.issued | 2008 | en_US |
dc.identifier.isbn | 978-0-7695-3407-7 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/1364 | - |
dc.identifier.uri | http://dx.doi.org/10.1109/ICCIT.2008.74 | en_US |
dc.description.abstract | Face recognition and hand gesture recognition technologies have been developed separately for many years. Usually they are treated as independent systems. In this paper, we integrate the face and hand gesture recognition. We claim that the face recognition rate can be improved by hand gesture recognition. Also, we propose a security elevator scenario. Finally, we simulate this security elevator scenario by PCA method, based on the ORL database, and show that the face recognition rate and overall accuracy is improved after integration. We believe that this is a general method to integrate two recognition engines, not only for face and hand gesture recognition. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Integration of face and hand gesture recognition | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.doi | 10.1109/ICCIT.2008.74 | en_US |
dc.identifier.journal | Third 2008 International Conference on Convergence and Hybrid Information Technology, Vol 1, Proceedings | en_US |
dc.citation.spage | 330 | en_US |
dc.citation.epage | 335 | en_US |
dc.contributor.department | 資訊科學與工程研究所 | zh_TW |
dc.contributor.department | Institute of Computer Science and Engineering | en_US |
dc.identifier.wosnumber | WOS:000262290400055 | - |
顯示於類別: | 會議論文 |