淡江大學機構典藏:Item 987654321/73149
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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/73149


    Title: Improved Driver Fatigue Detection System Based on Eye Tracking and Dynamic Template Matching
    Authors: Horng, Wen-Bing;Chen, Chih-Yuan
    Contributors: 淡江大學資訊工程學系
    Keywords: Driver fatigue detection;Eye tracking;Fast search algorithm;Intelligent transportation system;Template matching
    Date: 2008-11
    Issue Date: 2011-10-24 11:33:58 (UTC+8)
    Publisher: Tamkang University
    Abstract: In 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.
    Relation: Proceedings of the 2008 International Computer Symposium (ICS 2008),6頁
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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