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Volumn , Issue , 2009, Pages 1330-1333

Hardware architecture for HOG feature extraction

Author keywords

[No Author keywords available]

Indexed keywords

CIRCUIT SIZE; DETECTION PERFORMANCE; HARDWARE ARCHITECTURE; HIGH-ACCURACY; PEDESTRIAN RECOGNITION; PROCESSING PERFORMANCE; PROPOSED ARCHITECTURES; REALTIME PROCESSING; RECOGNITION ACCURACY; SIMPLE OPERATION; SQUARE ROOTS; VERILOG HDL;

EID: 73649137144     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IIH-MSP.2009.216     Document Type: Conference Paper
Times cited : (126)

References (4)
  • 2
    • 17444367737 scopus 로고    scopus 로고
    • Detecting pedestrians using patterns of motion and appearance
    • P. Viola, M. J. Jones, and D. Snow, "Detecting pedestrians using patterns of motion and appearance," International Journal of Computer Vision, vol. 63, pp. 153-161, 2005.
    • (2005) International Journal of Computer Vision , vol.63 , pp. 153-161
    • Viola, P.1    Jones, M.J.2    Snow, D.3
  • 3
    • 33745947914 scopus 로고    scopus 로고
    • Pedestrian detection using sparse gabor filter and support vector machine
    • H. Cheng, N. Zheng, and J. Qin, "Pedestrian detection using sparse gabor filter and support vector machine," Proc. of IEEE Intelligent Vehicles Symposium, pp. 583-587, 2005.
    • (2005) Proc. of IEEE Intelligent Vehicles Symposium , pp. 583-587
    • Cheng, H.1    Zheng, N.2    Qin, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.