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Volumn , Issue , 2014, Pages 1242-1249

An online learned elementary grouping model for multi-target tracking

Author keywords

[No Author keywords available]

Indexed keywords

CLUTTER (INFORMATION THEORY); MOTION TRACKING; PATTERN RECOGNITION;

EID: 84911396928     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.162     Document Type: Conference Paper
Times cited : (32)

References (31)
  • 1
    • 84873292207 scopus 로고    scopus 로고
    • Caviar dataset, http:/homepagesnfed.ac.uk/rbf/caviardatal/.
    • Caviar Dataset
  • 2
    • 70450122010 scopus 로고    scopus 로고
    • Floor fields for tacking in high density crowd scenes
    • S. Ali and M. Shah. Floor fields for tacking in high density crowd scenes. In ECCV, 2008.
    • (2008) ECCV
    • Ali, S.1    Shah, M.2
  • 3
    • 84911420639 scopus 로고    scopus 로고
    • Decentralized partcle filer for joint individual-group tacking
    • L. Bazzani, M. Crstani, and V. Murno. Decentralized partcle filer for joint individual-group tacking. In CVPR, 2012.
    • (2012) CVPR
    • Bazzani, L.1    Crstani, M.2    Murno, V.3
  • 4
    • 80052894150 scopus 로고    scopus 로고
    • Stable mularget tacking in realime urveilance video
    • B. Benfold and I. Reid. Stable mularget tacking in realime urveilance video. In CVPR, 2011.
    • (2011) CVPR
    • Benfold, B.1    Reid, I.2
  • 6
    • 80052897117 scopus 로고    scopus 로고
    • Mulobject tackng as maximum weight independent set
    • W. Brendel, M. Amer, and S. Todorovic. Mulobject tackng as maximum weight independent set. In CVPR, 2011.
    • (2011) CVPR
    • Brendel, W.1    Amer, M.2    Todorovic, S.3
  • 7
    • 84911434287 scopus 로고    scopus 로고
    • Multarget tacking by la-grangian relaxation o min-cost network flow
    • A. A. Butt and R. T. Collns. Multarget tacking by la-grangian relaxation o min-cost network flow. n CVPR, 2013.
    • (2013) N CVPR
    • Butt, A.A.1    Collns, R.T.2
  • 8
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalai and B. Trggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
    • (2005) CVPR
    • Dalai, N.1    Trggs, B.2
  • 9
    • 85116222439 scopus 로고
    • A modified hausdorf disance or object matching
    • M.-R Dubuisson and A. Jain. A modified hausdorf disance or object matching. InlCPR, 1994.
    • (1994) InlCPR
    • Dubuisson, M.-R.1    Jain, A.2
  • 10
    • 77955422240 scopus 로고    scopus 로고
    • Object detection wh dicriminatively trained part based models
    • P. F. Felzenszwalb, R. B. Gihick, D. McAlester, and D. Ra-manan. Object detection wh dicriminatively trained part based models. IEEE TPAMI, 32(9) 1627-1645, 2010.
    • (2010) IEEE TPAMI , vol.32 , Issue.9 , pp. 1627-1645
    • Felzenszwalb, P.F.1    Gihick, R.B.2    McAlester, D.3    Ra-Manan, D.4
  • 11
    • 84911454891 scopus 로고    scopus 로고
    • Vion-based analyss of small groups in pedesan crowds
    • W. Ge, R. Collns, and C. Ruback. Vion-based analyss of small groups in pedesan crowds. IEEE Trans PAMI, 2011.
    • (2011) IEEE Trans PAMI
    • Ge, W.1    Collns, R.2    Ruback, C.3
  • 12
    • 84856685291 scopus 로고    scopus 로고
    • Globally optimal solution to mulobject tracking wih merged measurements
    • J. F. Henrques, R. Caseiro, and J. Batia. Globally optimal solution to mulobject tracking wih merged measurements. In ICCV, 2011.
    • (2011) ICCV
    • Henrques, J.F.1    Caseiro, R.2    Batia, J.3
  • 13
    • 70449606070 scopus 로고    scopus 로고
    • Robust object tacking by hierarchical association of detection responses
    • C. Huang, B. Wu, and R. Nevatia. Robust object tacking by hierarchical association of detection responses. In ECCV, 2008.
    • (2008) ECCV
    • Huang, C.1    Wu, B.2    Nevatia, R.3
  • 14
    • 77956000998 scopus 로고    scopus 로고
    • Mularget tackng by on-lne learned discriminative appearance models
    • CH. Kuo, C. Huang, and R. Nevatia. Mularget tackng by on-lne learned discriminative appearance models. In CVPR, 2010.
    • (2010) CVPR
    • Kuo, C.H.1    Huang, C.2    Nevatia, R.3
  • 15
    • 70450214801 scopus 로고    scopus 로고
    • Learning o associate: Hybridboosted mularget tacker for crowded scene
    • Y. Li, C. Huang, and R. Nevatia. Learning o associate: Hybridboosted mularget tacker for crowded scene. n CVPR, 2009.
    • (2009) N CVPR
    • Li, Y.1    Huang, C.2    Nevatia, R.3
  • 16
    • 84911393317 scopus 로고    scopus 로고
    • Dcriminant analyss and similarity measure
    • C. Liu. Dcriminant analyss and similarity measure. Patern Recogniton, 2014.
    • (2014) Patern Recogniton
    • Liu, C.1
  • 17
    • 77956323937 scopus 로고    scopus 로고
    • The walking behaviour of pedesan social groups and is impact on crowd dynamics
    • M. Mousaid, N. Perozo, S. Gamier, D. Helbing, and G. Theraulaz. The walking behaviour of pedesan social groups and is impact on crowd dynamics. PLoS ONE, 2010.
    • (2010) PLoS ONE
    • Mousaid, M.1    Perozo, N.2    Gamier, S.3    Helbing, D.4    Theraulaz, G.5
  • 18
    • 80052913748 scopus 로고    scopus 로고
    • Improving data association by joint modeling of pedestan trajectores and groupngs
    • S. Pellegrni, A. Ess, and L. V. Gool. Improving data association by joint modeling of pedestan trajectores and groupngs. In ECCV, 2010.
    • (2010) ECCV
    • Pellegrni, S.1    Ess, A.2    Gool, L.V.3
  • 19
    • 77953225589 scopus 로고    scopus 로고
    • You'll never walk alone: Modeling social behavior for mularget acking
    • S. Pellegrni, A. Ess, K. Schindler, and L. Van Gool. You'll never walk alone: Modeling social behavior for mularget acking. In ICCV, 2009.
    • (2009) ICCV
    • Pellegrni, S.1    Ess, A.2    Schindler, K.3    Van Gool, L.4
  • 20
    • 84911445852 scopus 로고    scopus 로고
    • Mulobject tracking through simulaneous long occlusions and spli-merge conditons
    • A. G. A. Perera, C. Srnivas, A. Hoogs, G. Brooksby, and W. Hu. Mulobject tracking through simulaneous long occlusions and spli-merge conditons. In CVPR, 2006.
    • (2006) CVPR
    • Perera, A.G.A.1    Srnivas, C.2    Hoogs, A.3    Brooksby, G.4    Hu, W.5
  • 21
    • 84866707636 scopus 로고    scopus 로고
    • Improving mularget tacking via ocial grouping
    • Z. Qin and C. Shelton. Improving mularget tacking via ocial grouping. In CVPR, 2012.
    • (2012) CVPR
    • Qin, Z.1    Shelton, C.2
  • 22
    • 84885667132 scopus 로고    scopus 로고
    • Social grouping for target handover in mulview video
    • Z. Qin, C. Shelton, and L. Chai. Social grouping for target handover in mulview video. In ICME, 2013.
    • (2013) ICME
    • Qin, Z.1    Shelton, C.2    Chai, L.3
  • 23
    • 84866648554 scopus 로고    scopus 로고
    • Part-based mulple-person tracking wh partal occluson handling
    • G Shu, A. Dehghan, O. Oreifej, E. Hand, and M. Shah. Part-based mulple-person tracking wh partal occluson handling. In CVPR, 2012.
    • (2012) CVPR
    • Shu, G.1    Dehghan, A.2    Oreifej, O.3    Hand, E.4    Shah, M.5
  • 24
    • 84911409877 scopus 로고    scopus 로고
    • Who knows who-nvertng the ocial force model for finding groups
    • J. Sochman and D Hogg. Who knows who-nvertng the ocial force model for finding groups. In ICCV Workshops, 2011.
    • (2011) ICCV Workshops
    • Sochman, J.1    Hogg, D.2
  • 25
    • 80052891563 scopus 로고    scopus 로고
    • A ochasc graph evolution famework for robust mularget acking
    • B. Song, T. Jeng, E. Staudt, and A. K. Roy-Chowdhury. A ochasc graph evolution famework for robust mularget acking. In ECCV, 2010.
    • (2010) ECCV
    • Song, B.1    Jeng, T.2    Staudt, E.3    Roy-Chowdhury, A.K.4
  • 26
    • 80052896056 scopus 로고    scopus 로고
    • Efficient tack linking methods for tack graphs usng network-flow and set-cover echniques
    • Z. Wu, T. H. Kunz, and M. Betke. Efficient tack linking methods for tack graphs usng network-flow and set-cover echniques. In CVPR, 2011.
    • (2011) CVPR
    • Wu, Z.1    Kunz, T.H.2    Betke, M.3
  • 27
    • 70450207750 scopus 로고    scopus 로고
    • Mulobject tacking through occlusons by local tracklets filering and global tracklets asociation wth detection responses
    • J. Xing, H. Ai, and S. Lao. Mulobject tacking through occlusons by local tracklets filering and global tracklets asociation wth detection responses. In CVPR, 2009.
    • (2009) CVPR
    • Xing, J.1    Ai, H.2    Lao, S.3
  • 28
    • 80052905601 scopus 로고    scopus 로고
    • Who are you with and where are you going?
    • K Yamaguchi, A. Berg, L. Orz, and T Berg. Who are you with and where are you going? In CVPR, 2011.
    • (2011) CVPR
    • Yamaguchi, K.1    Berg, A.2    Orz, L.3    Berg, T.4
  • 29
    • 80052911158 scopus 로고    scopus 로고
    • Learning affinites and dependencies for mularget tacking usng a CRF model
    • B. Yang, C. Huang, and R Nevatia. Learning affinites and dependencies for mularget tacking usng a CRF model. In CVPR, 2011.
    • (2011) CVPR
    • Yang, B.1    Huang, C.2    Nevatia, R.3
  • 30
    • 84866644597 scopus 로고    scopus 로고
    • Multarget tacking by online earning of non-near moton patterns and robust appearance models
    • B. Yang and R. Nevatia. Multarget tacking by online earning of non-near moton patterns and robust appearance models. In CVPR, 2012.
    • (2012) CVPR
    • Yang, B.1    Nevatia, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.