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Volumn , Issue , 2012, Pages 2034-2041

An online learned CRF model for multi-target tracking

Author keywords

[No Author keywords available]

Indexed keywords

APPEARANCE MODELS; CAMERA MOTIONS; DISCRIMINATIVE FEATURES; ENERGY FUNCTIONS; ENERGY MINIMIZATION PROBLEM; LOW ENERGIES; MULTI-TARGET TRACKING; MULTIPLE LEVELS; ONLINE LEARNING; PUBLIC DATA; STATE-OF-ART METHODS; TRACKING PROBLEM; UNARY FUNCTIONS;

EID: 84866654237     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247907     Document Type: Conference Paper
Times cited : (314)

References (19)
  • 2
    • 80052910259 scopus 로고    scopus 로고
    • Multi-target tracking by continuous energy minimization
    • 1, 2, 5, 6, 8
    • A. Andriyenko and K. Schindler. Multi-target tracking by continuous energy minimization. In CVPR, 2011. 1, 2, 5, 6, 8
    • (2011) CVPR
    • Andriyenko, A.1    Schindler, K.2
  • 4
    • 0033682434 scopus 로고    scopus 로고
    • Real-time tracking of nonrigid objects using mean shift
    • 2
    • D. Comaniciu, V. Ramesh, and P. Meer. Real-time tracking of nonrigid objects using mean shift. In CVPR, 2000. 2
    • (2000) CVPR
    • Comaniciu, D.1    Ramesh, V.2    Meer, P.3
  • 6
    • 0032136153 scopus 로고    scopus 로고
    • Condensation - Conditional density propagation for visual tracking
    • 2
    • M. Isard and A. Blake. Condensation - conditional density propagation for visual tracking. International Journal of Computer Vision, 29(1):5-28, 1998. 2
    • (1998) International Journal of Computer Vision , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 7
    • 77956000998 scopus 로고    scopus 로고
    • Multi-target tracking by online learned discriminative appearance models
    • 1, 2, 4, 5, 6, 7
    • C.-H. Kuo, C. Huang, and R. Nevatia. Multi-target tracking by online learned discriminative appearance models. In CVPR, 2010. 1, 2, 4, 5, 6, 7
    • (2010) CVPR
    • Kuo, C.-H.1    Huang, C.2    Nevatia, R.3
  • 8
    • 80052910976 scopus 로고    scopus 로고
    • How does person identity recognition help multi-person tracking?
    • 1, 4, 6, 7, 8
    • C.-H. Kuo and R. Nevatia. How does person identity recognition help multi-person tracking? In CVPR, 2011. 1, 4, 6, 7, 8
    • (2011) CVPR
    • Kuo, C.-H.1    Nevatia, R.2
  • 9
    • 34948825409 scopus 로고    scopus 로고
    • Tracking in low frame rate video: A cascade particle filter with discriminative observers of different lifespans
    • 2
    • Y. Li, H. Ai, T. Yamashita, S. Lao, and M. Kawade. Tracking in low frame rate video: A cascade particle filter with discriminative observers of different lifespans. In CVPR, 2007. 2
    • (2007) CVPR
    • Li, Y.1    Ai, H.2    Yamashita, T.3    Lao, S.4    Kawade, M.5
  • 10
    • 70450214801 scopus 로고    scopus 로고
    • Learning to associate: Hybridboosted multi-target tracker for crowded scene
    • 6
    • Y. Li, C. Huang, and R. Nevatia. Learning to associate: Hybridboosted multi-target tracker for crowded scene. In CVPR, 2009. 6
    • (2009) CVPR
    • Li, Y.1    Huang, C.2    Nevatia, R.3
  • 11
    • 33845592424 scopus 로고    scopus 로고
    • Multi-object tracking through simultaneous long occlusions and split-merge conditions
    • 1, 2, 5
    • A. G. A. Perera, C. Srinivas, A. Hoogs, G. Brooksby, and W. Hu. Multi-object tracking through simultaneous long occlusions and split-merge conditions. In CVPR, 2006. 1, 2, 5
    • (2006) CVPR
    • Perera, A.G.A.1    Srinivas, C.2    Hoogs, A.3    Brooksby, G.4    Hu, W.5
  • 12
    • 80052904076 scopus 로고    scopus 로고
    • Globally-optimal greedy algorithms for tracking a variable number of objects
    • 1, 2
    • H. Pirsiavash, D. Ramanan, and C. C. Fowlkes. Globally-optimal greedy algorithms for tracking a variable number of objects. In CVPR, 2011. 1, 2
    • (2011) CVPR
    • Pirsiavash, H.1    Ramanan, D.2    Fowlkes, C.C.3
  • 13
    • 84856667902 scopus 로고    scopus 로고
    • Tracking multiple people under global appearance constraints
    • 1, 2
    • H. B. Shitrit, J. Berclaz, F. Fleuret, and P. Fua. Tracking multiple people under global appearance constraints. In ICCV, 2011. 1, 2
    • (2011) ICCV
    • Shitrit, H.B.1    Berclaz, J.2    Fleuret, F.3    Fua, P.4
  • 14
    • 80052891563 scopus 로고    scopus 로고
    • A stochastic graph evolution framework for robust multi-target tracking
    • 2
    • B. Song, T.-Y. Jeng, E. Staudt, and A. K. Roy-Chowdhury. A stochastic graph evolution framework for robust multi-target tracking. In ECCV, 2010. 2
    • (2010) ECCV
    • Song, B.1    Jeng, T.-Y.2    Staudt, E.3    Roy-Chowdhury, A.K.4
  • 15
    • 80052886962 scopus 로고    scopus 로고
    • Cascaded confidence filtering for improved tracking-by-detection
    • 1, 2
    • S. Stalder, H. Grabner, and L. V. Gool. Cascaded confidence filtering for improved tracking-by-detection. In ECCV, 2010. 1, 2
    • (2010) ECCV
    • Stalder, S.1    Grabner, H.2    Gool, L.V.3
  • 17
    • 70450207750 scopus 로고    scopus 로고
    • Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses
    • 1, 2
    • J. Xing, H. Ai, and S. Lao. Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses. In CVPR, 2009. 1, 2
    • (2009) CVPR
    • Xing, J.1    Ai, H.2    Lao, S.3
  • 18
    • 79957496620 scopus 로고    scopus 로고
    • Multiple players tracking in sports video: A dual-mode two-way bayesian inference approach with progressive observation modeling
    • 1, 2
    • J. Xing, H. Ai, L. Liu, and S. Lao. Multiple players tracking in sports video: a dual-mode two-way bayesian inference approach with progressive observation modeling. IEEE Transaction on Image Processing, 20(6):1652-1667, 2011. 1, 2
    • (2011) IEEE Transaction on Image Processing , vol.20 , Issue.6 , pp. 1652-1667
    • Xing, J.1    Ai, H.2    Liu, L.3    Lao, S.4
  • 19
    • 80052911158 scopus 로고    scopus 로고
    • Learning affinities and dependencies for multi-target tracking using a crf model
    • 1, 2, 4, 6
    • B. Yang, C. Huang, and R. Nevatia. Learning affinities and dependencies for multi-target tracking using a crf model. In CVPR, 2011. 1, 2, 4, 6
    • (2011) CVPR
    • Yang, B.1    Huang, C.2    Nevatia, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.