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Volumn , Issue , 2009, Pages 455-461

Driver alert state and fatigue detection by salient points analysis

Author keywords

Alert state assessment; Driver assistance; Drowsiness detection; Eyebrow rising detection; Fatigue detection; IR eye tracking; Yawning detection

Indexed keywords

DRIVER ASSISTANCE; DROWSINESS DETECTION; EYE-TRACKING; FATIGUE DETECTION; STATE ASSESSMENT;

EID: 74849128235     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2009.5346760     Document Type: Conference Paper
Times cited : (18)

References (28)
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    • N. H. T. S. Administration. Drowsy Driving and Automobile Crashes, Report No. DOT HS 808 707. NCSDR/NHTSA, National Center on Sleep Disorders, Research, National Heart, Lung, and Blood Institute, and National Highway Traffic, Safety Administration, Washington, D.C., pp. 30 edition, 1998.
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    • (2007) , vol.1453 , Issue.30
    • Hong, T.1    Qin, H.2    Sun, Q.3
  • 13
    • 85177129183 scopus 로고    scopus 로고
    • H. Lu, W. Zhang, and D. Yang. Eye detection based on rectangle features and pixel-pattern-based texture features. Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on, pages 746- 749, 28 2007-Dec. 1 2007.
    • H. Lu, W. Zhang, and D. Yang. Eye detection based on rectangle features and pixel-pattern-based texture features. Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on, pages 746- 749, 28 2007-Dec. 1 2007.
  • 14
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    • I. Park, J.-H. Ahn, and H. Byun. Effi cient measurement of eye blinking under various illumination conditions for drowsiness detection systems. Pattern Recognition, 2006. ICPR 2006. 18th International Conference on, 1:383- 386, 0-0 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.