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dc.contributor.authorHorng, Wen-Bing
dc.contributor.authorChen, Chih-Yuan
dc.date.accessioned2009-06-02T07:06:17Z
dc.date.accessioned2020-05-25T06:47:22Z-
dc.date.available2009-06-02T07:06:17Z
dc.date.available2020-05-25T06:47:22Z-
dc.date.issued2009-02-11T08:14:44Z
dc.date.submitted2009-02-11
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/11188-
dc.description.abstractIn this article, we propose an improvement over our previous work on real-time driver fatigue detection system based on eye tracking and dynamic template matching. We utilize the 2D-log search and the three-step search algorithms, fast search algorithms used in the MPEG encoding technique, to improve the search efficiency of the original exhaustive search. The experimental results show that the 2D-log search and the three-step search take only 5.38% and 7.48% of the number of search points of the original exhaustive search. In addition, their correct rates of eye tracking are also slightly improved to be 96.81% and 97.23%, respectively, as compared to 96.01% of the original exhaustive search.
dc.description.sponsorship淡江大學,台北縣
dc.format.extent6p.
dc.relation.ispartofseries2008 ICS會議
dc.subjectdriver fatigue detection
dc.subjecteye tracking
dc.subjectfast search algorithm
dc.subjectintelligent transportation system
dc.subjecttemplate matching
dc.subject.otherImage Processing
dc.titleImproved Driver Fatigue Detection System Based on Eye Tracking and Dynamic Template Matching
分類:2008年 ICS 國際計算機會議

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