Adaptive feature selection for real-time face recognition in portable surveillance systems

Wen Chung Kao, Chia Ping Shen, Chin Chung Kao, Ming Chai Hsu, Hung Hsin Wu

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

Real-time face recognition is a necessary feature in advanced portable surveillance systems. However, the high complexity of available algorithms to objects segmentation and recognition makes it impossible to include such a feature into a portable device. In this paper, we aim at designing a portable surveillance system which can take MPEG audio/video currently with recognizing human faces based on a digital camera platform. The proposed flow fully utilizes the available intermediate data passing from standard video compression flow in a digital camera. An efficient face recognition approach based on adaptive feature extraction and support vector machines (SVMs) are proposed to address the performance issues. The experimental result shows that the recognition speed running on a commercial digital camera platform can achieve 1.216 seconds/frame.

原文英語
主出版物標題2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
頁面1083-1087
頁數5
DOIs
出版狀態已發佈 - 2007 十二月 1
事件2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, 加拿大
持續時間: 2007 十月 72007 十月 10

出版系列

名字Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN(列印)1062-922X

其他

其他2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
國家加拿大
城市Montreal, QC
期間07/10/707/10/10

    指紋

ASJC Scopus subject areas

  • Engineering(all)

引用此

Kao, W. C., Shen, C. P., Kao, C. C., Hsu, M. C., & Wu, H. H. (2007). Adaptive feature selection for real-time face recognition in portable surveillance systems. 於 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 (頁 1083-1087). [4413922] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2007.4413922