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Volumn , Issue , 2009, Pages 900-906

Parallel implementation of pedestrian tracking using multiple cues on GPGPU

Author keywords

[No Author keywords available]

Indexed keywords

A-FRAMES; ACCURATE TRACKING; COMPUTATION TIME; DETECTION AND TRACKING; OBSERVATION POINT; PARALLEL IMPLEMENTATIONS; PEDESTRIAN RECOGNITION; PEDESTRIAN TRACKING; REALTIME PROCESSING; SECURITY APPLICATION; TRACKING SCHEME;

EID: 77953187084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2009.5457606     Document Type: Conference Paper
Times cited : (17)

References (12)
  • 1
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Proc. of CVPR, volume 1, pages 886-893, 2005.
    • (2005) Proc. of CVPR , vol.1 , pp. 886-893
    • Dalal, N.1    Triggs, B.2
  • 2
    • 34948887733 scopus 로고    scopus 로고
    • Beyond local appearance: Category recognition from pairwise interactions of simple features
    • M. Leordeanu, M. Hebert, and R. Sukthankar. Beyond local appearance: Category recognition from pairwise interactions of simple features. In Proc. CVPR, 2007.
    • Proc. CVPR, 2007
    • Leordeanu, M.1    Hebert, M.2    Sukthankar, R.3
  • 3
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. Lowe. Distinctive image features from scale-invariant keypoints. Int'l J. Computer Vision, 60(2):91-110, 2004.
    • (2004) Int'l J. Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 4
    • 51949098112 scopus 로고    scopus 로고
    • Classification using intersection kernel support vector machines is efficient
    • S. Maji, A. Berg, and J. Malik. Classification using intersection kernel support vector machines is efficient. In Proc. CVPR, 2008.
    • Proc. CVPR, 2008
    • Maji, S.1    Berg, A.2    Malik, J.3
  • 8
    • 34948834722 scopus 로고    scopus 로고
    • Detecting pedestrians by learning shapelet features
    • P. Sabzmeydani and G. Mori. Detecting pedestrians by learning shapelet features. In Proc. CVPR, 2007.
    • Proc. CVPR, 2007
    • Sabzmeydani, P.1    Mori, G.2
  • 9
    • 34948845616 scopus 로고    scopus 로고
    • Matching local self-similarities across images and videos
    • E. Shechtman and M. Irani. Matching local self-similarities across images and videos. In Proc. CVPR, 2007.
    • Proc. CVPR, 2007
    • Shechtman, E.1    Irani, M.2
  • 11
    • 17444367737 scopus 로고    scopus 로고
    • Detecting pedestrians using patterns of motion and appearance
    • DOI 10.1007/s11263-005-6644-8
    • P. Viola, M. J. Jones, and D. Snow. Detecting pedestrians using patterns of motion and appearance. Int'l J. Computer Vision, 63:153-161, 2005. (Pubitemid 40536820)
    • (2005) International Journal of Computer Vision , vol.63 , Issue.2 , pp. 153-161
    • Viola, P.1    Jones, M.J.2    Snow, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.