%0 Journal Article
%T Blink detection and eye tracking<br>Õ£ÑÛ¼ì²âÓëÑÛ¾¦¸ú×Ù
%A LIU Rui-an
%A JIN Shi-jiu
%A ZHANG Xi-kun
%A SONG Wei
%A WU Xiao-rong
%A <br>ÁõÈð°²
%A ½ùÊÀ¾Ã
%A ÕÅÏ£À¤
%A ËΠά
%A ÎâÏþÈÙ
%J ¼ÆËã»úÓ¦ÓÃ
%D 2006
%I 
%X A method was proposed to detect and track eyes and to recognize the opening and shutting of eyes in a realtime video stream. Blink detection was used for eyes positioning. An inner eye comer filter was used to locate the positions of inner eye comer accurately. The eye was tracked in real time by detecting the inner eye comer. Open eye template could be created online and dynamically updated. The opening or shutting of eyes could be recognized using correlation with an online open eye template. Experimental results indicate that the proposed algorithm can locate the positions of inner eye corner with an accuracy rate of more than 98%. An accuracy rate of 97.5% in blink detection is obtained using the proposed method at a processing rate of 50 fields per second.
%K blink detection
%K eye tracking
%K template match
%K inner eye comer
%K face detection<br>Õ£ÑÛ¼ì²â
%K ÑÛ¾¦¸ú×Ù
%K Ä£°åÆ¥Åä
%K ÄÚÑÛ½Ç
%K ÈËÁ³¼ì²â
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=17BC71EBF1BCDC16&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=59906B3B2830C2C5&sid=D53320E8F8D57E0D&eid=A66F9C7240EBF5BE&journal_id=1001-9081&journal_name=¼ÆËã»úÓ¦ÓÃ&referenced_num=0&reference_num=14