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Volumn , Issue , 2010, Pages 149-152

Learning pedestrian trajectories with kernels

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX MOTION; DYNAMIC TIME WARPING; KERNEL CANONICAL CORRELATION ANALYSIS; KERNEL K-MEANS; MOTION MODELS; NOVEL METHODS; PEDESTRIAN TRAJECTORIES; PERSON TRACKING; PHYSICAL LOCATIONS; TRAJECTORY PATTERN; VIDEO SURVEILLANCE;

EID: 78149490136     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.45     Document Type: Conference Paper
Times cited : (7)

References (11)
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    • S. Ali and M. Shah. Floor fields for tracking in high density crowd scenes. In ECCV, pages 1-14, 2008.
    • (2008) ECCV , pp. 1-14
    • Ali, S.1    Shah, M.2
  • 2
    • 33744506087 scopus 로고    scopus 로고
    • Behavioral priors for detection and tracking of pedestrians in video sequences
    • G. Antonini, S. Martinez, M. Bierlaire, and J. Thiran. Behavioral priors for detection and tracking of pedestrians in video sequences. IJCV, 2006.
    • (2006) IJCV
    • Antonini, G.1    Martinez, S.2    Bierlaire, M.3    Thiran, J.4
  • 3
    • 84948583211 scopus 로고    scopus 로고
    • Finding prototypes to estimate trajectory development in outdoor scenarios
    • P. Baiget, E. Sommerlade, I. Reid, and J. Gonzalez. Finding prototypes to estimate trajectory development in outdoor scenarios. In THEMIS, 2008.
    • (2008) THEMIS
    • Baiget, P.1    Sommerlade, E.2    Reid, I.3    Gonzalez, J.4
  • 6
    • 10044285992 scopus 로고    scopus 로고
    • Canonical correlation analysis; an overview with application to learning methods
    • D. Hardoon, S. Szedmak, and J. Shawe-Taylor. Canonical correlation analysis; an overview with application to learning methods. Neural Computation, 16:2639-2664, 2004.
    • (2004) Neural Computation , vol.16 , pp. 2639-2664
    • Hardoon, D.1    Szedmak, S.2    Shawe-Taylor, J.3
  • 7
    • 0000107975 scopus 로고
    • Relations between two sets of variates
    • H. Hotelling. Relations between two sets of variates. Biometrika, 28:312-377, 1936.
    • (1936) Biometrika , vol.28 , pp. 312-377
    • Hotelling, H.1
  • 8
    • 33746486814 scopus 로고    scopus 로고
    • Approximate bayesian multibody tracking
    • O. Lanz. Approximate bayesian multibody tracking. IEEE Trans. PAMI, 28(9):1436-1449, 2006.
    • (2006) IEEE Trans. PAMI , vol.28 , Issue.9 , pp. 1436-1449
    • Lanz, O.1
  • 9
    • 0036783840 scopus 로고    scopus 로고
    • Path detection in video surveillance
    • D. Makris and T. Ellis. Path detection in video surveillance. Image and Vision Computing, 20:895-903, 2002.
    • (2002) Image and Vision Computing , vol.20 , pp. 895-903
    • Makris, D.1    Ellis, T.2
  • 10
    • 70450169892 scopus 로고    scopus 로고
    • Learning trajectory patterns by clustering: Experimental studies and comparative evaluation
    • B. Morris and M. M. Trivedi. Learning trajectory patterns by clustering: Experimental studies and comparative evaluation. CVPR, 2009.
    • (2009) CVPR
    • Morris, B.1    Trivedi, M.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.