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Volumn 2002-January, Issue , 2002, Pages 137-142

Active facial tracking for fatigue detection

Author keywords

Computer vision; Face detection; Face recognition; Facial features; Fatigue; Infrared sensors; Motion detection; Object detection; Robustness; Tracking

Indexed keywords

COMPUTER VISION; FATIGUE OF MATERIALS; FEATURE EXTRACTION; GRAPHIC METHODS; IMAGE PROCESSING; INFRARED DETECTORS; KALMAN FILTERS; LIGHTING; OBJECT DETECTION; ROBUSTNESS (CONTROL SYSTEMS); SURFACE DISCHARGES; TRACKING (POSITION);

EID: 84948758890     PISSN: 21583978     EISSN: 21583986     Source Type: Conference Proceeding    
DOI: 10.1109/ACV.2002.1182171     Document Type: Conference Paper
Times cited : (63)

References (13)
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    • Image representation using 2d gabor wavelets
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    • Detecting driver fatigue through the use of advanced face monitoring techniques
    • September
    • H. Veeraraghavan and N. P. Papanikolopoulos. Detecting driver fatigue through the use of advanced face monitoring techniques. Technique Report of ITS Institute, (CTS 01-05), September 2002.
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    • Veeraraghavan, H.1    Papanikolopoulos, N.P.2
  • 13
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    • Combining kalman filtering and mean shift for real time eye tracking under active ir illumination
    • August
    • Z. Zhu, Q. Ji, K. Fujimura, and K. Lee. Combining kalman filtering and mean shift for real time eye tracking under active ir illumination. proc. of ICPR, pages 373-378,August 2002.
    • (2002) Proc. of ICPR , pp. 373-378
    • Zhu, Z.1    Ji, Q.2    Fujimura, K.3    Lee, K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.