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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/37478

    Title: Driver fatigue detection based on eye tracking and dynamic template matching
    Authors: 洪文斌;Horng, Wen-bing;陳志遠;Chen, Chih-yuan;張懿;Chang, Yi;范俊海;Fan, Chun-hai
    Contributors: 淡江大學資訊工程學系
    Keywords: Driver fatigue detection;Eye detection;Face detection;Template matching
    Date: 2004-03-21
    Issue Date: 2010-04-15 10:00:08 (UTC+8)
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Abstract: A vision-based real-time driver fatigue detection system is proposed for driving safely. The driver's face is located, from color images captured in a car, by using the characteristic of skin colors. Then, edge detection is used to locate the regions of eyes. In addition to being used as the dynamic templates for eye tracking in the next frame, the obtained eyes' images are also used for fatigue detection in order to generate some warning alarms for driving safety. The system is tested on a Pentium III 550 CPU with 128 MB RAM. The experiment results seem quite encouraging and promising. The system can reach 20 frames per second for eye tracking, and the average correct rate for eye location and tracking can achieve 99.1% on four test videos. The correct rate for fatigue detection is l00%, but the average precision rate is 88.9% on the test videos.
    Relation: Networking, Sensing and Control, 2004 IEEE International Conference on, vol.1, pp.7-12
    DOI: 10.1109/ICNSC.2004.1297400
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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