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Volumn 2, Issue , 2004, Pages 1171-1174

Learning object trajectory patterns by spectral clustering

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETECTION; FLOW DIAGRAMS; SPECTRAL CLUSTERING;

EID: 11244309239     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (8)
  • 1
    • 0030649239 scopus 로고    scopus 로고
    • The representation and recognition of human movement using temporal templates
    • J.W. Davis and A.F. Bobick, "The representation and recognition of human movement using temporal templates", CVPR, 928-934, 1997.
    • (1997) CVPR , pp. 928-934
    • Davis, J.W.1    Bobick, A.F.2
  • 3
    • 0000963696 scopus 로고
    • Feature grouping by relocalisation of eigenvectors of the proxmity matrix
    • G.L. Scott and H. C. Longuet-Higgins, "Feature grouping by relocalisation of eigenvectors of the proxmity matrix" BMVC, 103-108, 1990.
    • (1990) BMVC , pp. 103-108
    • Scott, G.L.1    Longuet-Higgins, H.C.2
  • 4
    • 0000470942 scopus 로고
    • Learning the distribution of object trajectories for event recognition
    • N. Johnson and D. Hogg, "Learning the distribution of object trajectories for event recognition", BMVC, 583592, 1995.
    • (1995) BMVC , pp. 583592
    • Johnson, N.1    Hogg, D.2
  • 6
    • 0034244889 scopus 로고    scopus 로고
    • Learning patterns of activity using real-time tracking
    • C. Stauffer and W.E. Grimson, "Learning patterns of activity using real-time tracking", PAMI, 22(8), 747-757, 2000.
    • (2000) PAMI , vol.22 , Issue.8 , pp. 747-757
    • Stauffer, C.1    Grimson, W.E.2
  • 8
    • 84908484726 scopus 로고    scopus 로고
    • Human body tracking by adaptive gaussian models and mean-shift analysis
    • Graz
    • F. Porikli and O. Tuzel, "Human body tracking by adaptive gaussian models and mean-shift analysis", Proc. of ICVS - PETS, Graz, 2003.
    • (2003) Proc. of ICVS - PETS
    • Porikli, F.1    Tuzel, O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.