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Volumn , Issue , 2010, Pages 642-647

Intra color-shape classification for traffic sign recognition

Author keywords

Advanced driver assistance system; Classificaiton; Traffic sign recognition

Indexed keywords

ADVANCED DRIVER ASSISTANCE SYSTEMS; CLASSIFICAITON; CRITICAL INFORMATION; DIMENSIONALITY REDUCTION; FEATURE SELECTION; FEATURES SELECTION; FISHER'S LINEAR DISCRIMINANT; LYAPUNOV STABILITY THEORY; LYAPUNOV THEORIES; MALAYSIANS; PRINCIPLE COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RECOGNITION RATES; REDUNDANT INFORMATIONS; ROAD SIGNS; ROAD USERS; SALIENT POINTS; SHAPE CLASSIFICATION; TRAFFIC SIGN RECOGNITION;

EID: 79851504311     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COMPSYM.2010.5685432     Document Type: Conference Paper
Times cited : (28)

References (12)
  • 3
    • 52149123338 scopus 로고    scopus 로고
    • A robust model for traffic signs recognition based on Support Vector Machines
    • M. Shi, H. Wu, and H. Fleyeh, "A robust model for traffic signs recognition based on Support Vector Machines," in Image and Signal Processing, CISP '08., 2008, pp. 516-524.
    • (2008) Image and Signal Processing, CISP '08 , pp. 516-524
    • Shi, M.1    Wu, H.2    Fleyeh, H.3
  • 4
    • 0037369123 scopus 로고    scopus 로고
    • Traffic sign recognition and analysis for intelligent vehicles
    • A. d. l. Escalera, J. M. Armingol, and M. Mata, "Traffic sign recognition and analysis for intelligent vehicles," Image and Vision Computing, vol. 21, pp. 247-258, 2003.
    • (2003) Image and Vision Computing , vol.21 , pp. 247-258
    • Escalera, A.D.L.1    Armingol, J.M.2    Mata, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.