메뉴 건너뛰기




Volumn , Issue , 2012, Pages 128-131

Driver fatigue detection based on head gesture and PERCLOS

Author keywords

AAM; Adaboost; Driver Fatigue; Head Gesture; PERCLOS

Indexed keywords

AAM; ACTIVE APPEARANCE MODELS; DRIVER FATIGUE; EYE CONDITIONS; FATIGUE DETECTION; HEAD GESTURES; ORIGINAL SYSTEMS; PERCLOS; REAL-TIME DETECTION;

EID: 84873959151     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICWAMTIP.2012.6413456     Document Type: Conference Paper
Times cited : (32)

References (7)
  • 1
    • 51149094781 scopus 로고    scopus 로고
    • Using the active appearance model to detect driver fatigue
    • Isaam Saeed, Alyoxia Wang, Rajinda Senaratne, and Saman Halgamuge. Using the Active Appearance Model to Detect Driver Fatigue. lCIAFS, 2007
    • (2007) LCIAFS
    • Saeed, I.1    Wang, A.2    Senaratne, R.3    Halgamuge, S.4
  • 2
    • 3042602006 scopus 로고    scopus 로고
    • Empirical analysis of detection cascades of boosted classifiers for rapid object detection
    • Rainer Lienhart, Alexander Kuranov, Vadim Pisarevsky. Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection. MRL Technical Report, 2002
    • (2002) MRL Technical Report
    • Lienhart, R.1    Kuranov, A.2    Pisarevsky, V.3
  • 3
    • 84873978885 scopus 로고    scopus 로고
    • Optimization classification algorithm based on the combination of Adaboost and CART
    • period 23
    • Yong Ding, Xiaoxia Li. Optimization classification algorithm based on the combination of Adaboost and CART. "Microcomputer & Its Applications)) volume 30 period 23, 2011
    • (2011) Microcomputer & Its Applications , vol.30
    • Yong, D.1    Li., X.2
  • 4
    • 67650449905 scopus 로고    scopus 로고
    • Driver fatigue monitoring methods review Based on visual information fusion
    • Heng Zhang, Yanli Liu. Driver fatigue monitoring methods review Based on visual information fusion. Information Technology. 2008, (6).
    • (2008) Information Technology , vol.6
    • Zhang, H.1    Liu, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.