Image compensation for improving extraction of driver's facial features

Jung Ming Wang, Han Ping Chou, Sei-Wang Chen, Chiou Shann Fuh

研究成果: 書貢獻/報告類型會議論文篇章

2 引文 斯高帕斯(Scopus)

摘要

Extracting driver's facial feature helps to identify the vigilance level of a driver. Some research about facial feature extraction also has been developed for controlled interface of vehicle. To acquire facial feature of drivers, research using various visual sensors have been reported. However, potential challenges to such a work include rapid illumination variation resulting from ambient lights, abrupt lighting change (e.g., entering/exiting tunnels and sunshine/shadow), and partial occlusion. In this paper, we propose an image compensation method for improve extraction of a driver's facial features. This method has the advantages of fast processing and high adaptation. Our experiments show that the extraction of driver's facial features can be improved significantly.

原文英語
主出版物標題VISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications
發行者SciTePress
頁面329-338
頁數10
ISBN(列印)9789897580031
出版狀態已發佈 - 2014 一月 1
事件9th International Conference on Computer Vision Theory and Applications, VISAPP 2014 - Lisbon, 葡萄牙
持續時間: 2014 一月 52014 一月 8

出版系列

名字VISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications
1

其他

其他9th International Conference on Computer Vision Theory and Applications, VISAPP 2014
國家葡萄牙
城市Lisbon
期間2014/01/052014/01/08

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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