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Volumn , Issue , 2009, Pages 889-892

Construction of cascaded traffic sign detector using generative learning

Author keywords

[No Author keywords available]

Indexed keywords

CAMERA IMAGES; COLOR CHANGES; DETECTION ACCURACY; DETECTION TARGETS; LEARNING METHODS; OBJECT DETECTION METHOD; REAL ENVIRONMENTS; TRAFFIC SIGN DETECTION; TRAINING IMAGE;

EID: 77951451139     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIC.2009.148     Document Type: Conference Paper
Times cited : (15)

References (5)
  • 4
    • 32544439362 scopus 로고    scopus 로고
    • A system for traffic sign detection, tracking, and recognition using color, shape, and motion information
    • June
    • C. Bahlmann, et al., "A system for traffic sign detection, tracking, and recognition using color, shape, and motion information," Proc. of 2005 IEEE Intelligent Vehicles Symposium, pp.255-260, June 2005.
    • (2005) Proc. of 2005 IEEE Intelligent Vehicles Symposium , pp. 255-260
    • Bahlmann, C.1
  • 5
    • 34047239541 scopus 로고    scopus 로고
    • Identification of degraded traffic sign symbols by a generative learning method
    • August
    • H. Ishida, et al., "Identification of degraded traffic sign symbols by a generative learning method," Proc. of 18th International Conference on Pattern Recognition, Vol.1, pp.531-534, August 2006.
    • (2006) Proc. of 18th International Conference on Pattern Recognition , vol.1 , pp. 531-534
    • Ishida, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.