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Volumn 2005, Issue , 2005, Pages 73-80

A hybrid blob- and appearance-based framework for multi-object tracking through complex occlusions

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MAXIMUM LIKELIHOOD ESTIMATION; PROBLEM SOLVING;

EID: 33846571939     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VSPETS.2005.1570900     Document Type: Conference Paper
Times cited : (15)

References (18)
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  • 4
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    • Probabilistic people tracking for occlusion handling
    • Cambridge, UK, August
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    • Cucchiara, R.1    Grana, C.2    Tardini, G.3    Vezzani, R.4
  • 5
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    • Probabilistic framework for segmenting people under occlusion
    • Vancouver, Canada, July
    • A. Elgammal and L.S. D avis, "Probabilistic framework for segmenting people under occlusion," Proc. of IEEE ICCV'01, Vancouver, Canada, July 2001.
    • (2001) Proc. of IEEE ICCV'01
    • Elgammal, A.1    avis, L.S.D.2
  • 6
    • 33645307063 scopus 로고    scopus 로고
    • Background and foreground modelling using nonparametric Kernel density estimation for visual surveillance
    • July
    • A. Elgammal, R. Duraiswami, D. Harwood, L.S. Davis, "Background and foreground modelling using nonparametric Kernel density estimation for visual surveillance," Proceedings of the IEEE, 90(7), July 2002.
    • (2002) Proceedings of the IEEE , vol.90 , Issue.7
    • Elgammal, A.1    Duraiswami, R.2    Harwood, D.3    Davis, L.S.4
  • 8
    • 0003301612 scopus 로고    scopus 로고
    • A statistical approach for real-time robust background subtraction and shadow detection
    • Corfu, Greece, Sept
    • T. Horprasert, D. Harwood, and L.S. Davis, "A statistical approach for real-time robust background subtraction and shadow detection," Proc. of IEEE Frame-Rate Workshop, Corfu, Greece, Sept. 1999.
    • (1999) Proc. of IEEE Frame-Rate Workshop
    • Horprasert, T.1    Harwood, D.2    Davis, L.S.3
  • 11
    • 33646788072 scopus 로고    scopus 로고
    • Hybrid particle filter and mean shift tracker with adaptive transition model
    • Philadelphia, USA, March
    • E. Maggio and A. Cavallaro, "Hybrid particle filter and mean shift tracker with adaptive transition model," Proc. of ICASSP'05, Philadelphia, USA, March 2005.
    • (2005) Proc. of ICASSP'05
    • Maggio, E.1    Cavallaro, A.2
  • 12
    • 0033098507 scopus 로고    scopus 로고
    • Tracking colour objects using adaptive mixture models
    • S.J. McKenna, Y. Raja, S. Gong, "Tracking colour objects using adaptive mixture models," Image and Vision Computing, 17(3-4), 1999.
    • (1999) Image and Vision Computing , vol.17 , Issue.3-4
    • McKenna, S.J.1    Raja, Y.2    Gong, S.3
  • 15
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    • Tracking people with probabilistic appearance models
    • A. Senior, "Tracking people with probabilistic appearance models," Proc. of PETS'02.
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  • 17
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    • Detection and tracking of multiple moving objects for advanced visual surveillance
    • Kluwer Academic Publishers, July
    • L.-Q. Xu, J.-L. Landabaso, and B. Lei, "Detection and tracking of multiple moving objects for advanced visual surveillance," BT Technology Journal, 22(3), Kluwer Academic Publishers, July 2004.
    • (2004) BT Technology Journal , vol.22 , Issue.3
    • Xu, L.-Q.1    Landabaso, J.-L.2    Lei, B.3
  • 18
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    • An efficient object segmentation algorithm with dynamic and selective background updating and shadow removal
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.