메뉴 건너뛰기




Volumn , Issue , 2008, Pages 632-636

Pedestrian recognition using combined low-resolution depth and intensity images

Author keywords

[No Author keywords available]

Indexed keywords

FAULT DETECTION; IMAGE PROCESSING; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; THREE DIMENSIONAL;

EID: 57749200890     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2008.4621195     Document Type: Conference Paper
Times cited : (14)

References (12)
  • 3
    • 33846638203 scopus 로고    scopus 로고
    • Multi-cue pedestrian detection and tracking from a moving vehicle
    • D. M. Gavrila and S. Munder, "Multi-cue pedestrian detection and tracking from a moving vehicle," International Journal of Computer Vision, vol. 73, no. 1, pp. 41-59, 2007.
    • (2007) International Journal of Computer Vision , vol.73 , Issue.1 , pp. 41-59
    • Gavrila, D.M.1    Munder, S.2
  • 4
    • 33745959765 scopus 로고    scopus 로고
    • 3d vision sensing for improved pedestrian safety,
    • Ph.D. dissertation, The Australian National University, March
    • G. Grubb, "3d vision sensing for improved pedestrian safety," Ph.D. dissertation, The Australian National University, March 2004.
    • (2004)
    • Grubb, G.1
  • 8
    • 3042525440 scopus 로고    scopus 로고
    • Real time obstacle detection in stereovision on non flat road geometry through '"v- disparity"' representation
    • June
    • R. Labayrade, D. Aubert, and J.-P. Tarel, "Real time obstacle detection in stereovision on non flat road geometry through '"v- disparity"' representation," in IEEE Intelligent Vehicle Symposium, vol. 2, June 2002, pp. 646-651.
    • (2002) IEEE Intelligent Vehicle Symposium , vol.2 , pp. 646-651
    • Labayrade, R.1    Aubert, D.2    Tarel, J.-P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.