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Volumn , Issue , 2014, Pages 1282-1289

Multiple target tracking based on undirected hierarchical relation hypergraph

Author keywords

dense neighborhoods searching; hypergraph; Multi target tracking; undirected affinity graph

Indexed keywords

CLUTTER (INFORMATION THEORY); COMPUTER VISION;

EID: 84911442295     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.167     Document Type: Conference Paper
Times cited : (182)

References (26)
  • 1
    • 51949100471 scopus 로고    scopus 로고
    • People-tracking-by-detection and people-detection-by-tracking
    • M. Andriluka, S. Roth, and B. Schiele. People-tracking-by-detection and people-detection-by-tracking. In CVPR, 2008.
    • (2008) CVPR
    • Andriluka, M.1    Roth, S.2    Schiele, B.3
  • 2
    • 80052910259 scopus 로고    scopus 로고
    • Multi-target tracking by continuous energy minimization
    • A. Andriyenko and K. Schindler. Multi-target tracking by continuous energy minimization. In CVPR, pages 1265-1272, 2011.
    • (2011) CVPR , pp. 1265-1272
    • Andriyenko, A.1    Schindler, K.2
  • 3
    • 84866674830 scopus 로고    scopus 로고
    • Discrete-continuous optimization for multi-target tracking
    • A. Andriyenko, K. Schindler, and S. Roth. Discrete-continuous optimization for multi-target tracking. In CVPR, pages 1926-1933, 2012.
    • (2012) CVPR , pp. 1926-1933
    • Andriyenko, A.1    Schindler, K.2    Roth, S.3
  • 4
    • 80054897941 scopus 로고    scopus 로고
    • Multiple object tracking using k-shortest paths optimization
    • J. Berclaz, F. Fleuret, E. Türetken, and P. Fua. Multiple object tracking using k-shortest paths optimization. PAMI, 33(9):1806-1819, 2011.
    • (2011) PAMI , vol.33 , Issue.9 , pp. 1806-1819
    • Berclaz, J.1    Fleuret, F.2    Türetken, E.3    Fua, P.4
  • 6
    • 80052897117 scopus 로고    scopus 로고
    • Multiobject tracking as maximum weight independent set
    • W. Brendel, M. R. Amer, and S. Todorovic. Multiobject tracking as maximum weight independent set. In CVPR, pages 1273-1280, 2011.
    • (2011) CVPR , pp. 1273-1280
    • Brendel, W.1    Amer, M.R.2    Todorovic, S.3
  • 8
    • 84887378553 scopus 로고    scopus 로고
    • Hypergraphs for joint multiview reconstruction and multi-object tracking
    • M. Hofmann, D. Wolf, and G. Rigoll. Hypergraphs for joint multiview reconstruction and multi-object tracking. In CVPR, pages 3650-3657, 2013.
    • (2013) CVPR , pp. 3650-3657
    • Hofmann, M.1    Wolf, D.2    Rigoll, G.3
  • 9
    • 84874532468 scopus 로고    scopus 로고
    • Multiple target tracking by learning-based hierarchical association of detection responses
    • C. Huang, Y. Li, and R. Nevatia. Multiple target tracking by learning-based hierarchical association of detection responses. TPAMI, 35(4):898-910, 2013.
    • (2013) TPAMI , vol.35 , Issue.4 , pp. 898-910
    • Huang, C.1    Li, Y.2    Nevatia, R.3
  • 10
    • 84867880254 scopus 로고    scopus 로고
    • 2T: Multiple people multiple parts tracker
    • H. Izadinia, I. Saleemi, W. Li, and M. Shah. (MP)2T: Multiple people multiple parts tracker. In ECCV, pages 100-114, 2012.
    • (2012) ECCV , pp. 100-114
    • Izadinia, H.1    Saleemi, I.2    Li, W.3    Shah, M.4
  • 11
    • 34948910165 scopus 로고    scopus 로고
    • A linear programming approach for multiple object tracking
    • H. Jiang, S. Fels, and J. J. Little. A linear programming approach for multiple object tracking. In CVPR, 2007.
    • (2007) CVPR
    • Jiang, H.1    Fels, S.2    Little, J.J.3
  • 12
    • 77956000998 scopus 로고    scopus 로고
    • Multi-target tracking by online learned discriminative appearance models
    • C.-H. Kuo, C. Huang, and R. Nevatia. Multi-target tracking by online learned discriminative appearance models. In CVPR, pages 685-692, 2010.
    • (2010) CVPR , pp. 685-692
    • Kuo, C.-H.1    Huang, C.2    Nevatia, R.3
  • 13
    • 85161992520 scopus 로고    scopus 로고
    • Robust clustering as ensembles of affinity relations
    • H. Liu, L. J. Latecki, and S. Yan. Robust clustering as ensembles of affinity relations. In NIPS, pages 1414-1422, 2010.
    • (2010) NIPS , pp. 1414-1422
    • Liu, H.1    Latecki, L.J.2    Yan, S.3
  • 14
    • 84859268447 scopus 로고    scopus 로고
    • Dense neighborhoods on affinity graph
    • H. Liu, X. Yang, L. J. Latecki, and S. Yan. Dense neighborhoods on affinity graph. IJCV, 98(1):65-82, 2012.
    • (2012) IJCV , vol.98 , Issue.1 , pp. 65-82
    • Liu, H.1    Yang, X.2    Latecki, L.J.3    Yan, S.4
  • 16
    • 84890336821 scopus 로고    scopus 로고
    • Continuous energy minimization for multitarget tracking
    • A. Milan, S. Roth, and K. Schindler. Continuous energy minimization for multitarget tracking. TPAMI, 36(1):58-72, 2014.
    • (2014) TPAMI , vol.36 , Issue.1 , pp. 58-72
    • Milan, A.1    Roth, S.2    Schindler, K.3
  • 17
    • 84884913454 scopus 로고    scopus 로고
    • Challenges of ground truth evaluation of multi-target tracking
    • A. Milan, K. Schindler, and S. Roth. Challenges of ground truth evaluation of multi-target tracking. In CVPR Workshops, pages 735-742, 2013.
    • (2013) CVPR Workshops , pp. 735-742
    • Milan, A.1    Schindler, K.2    Roth, S.3
  • 18
    • 80052904076 scopus 로고    scopus 로고
    • Globally-optimal greedy algorithms for tracking a variable number of objects
    • H. Pirsiavash, D. Ramanan, and C. C. Fowlkes. Globally-optimal greedy algorithms for tracking a variable number of objects. In CVPR, pages 1201-1208, 2011.
    • (2011) CVPR , pp. 1201-1208
    • Pirsiavash, H.1    Ramanan, D.2    Fowlkes, C.C.3
  • 19
    • 84866648554 scopus 로고    scopus 로고
    • Part-based multiple-person tracking with partial occlusion handling
    • G. Shu, A. Dehghan, O. Oreifej, E. Hand, and M. Shah. Part-based multiple-person tracking with partial occlusion handling. In CVPR, pages 1815-1821, 2012.
    • (2012) CVPR , pp. 1815-1821
    • Shu, G.1    Dehghan, A.2    Oreifej, O.3    Hand, E.4    Shah, M.5
  • 20
    • 84866696913 scopus 로고    scopus 로고
    • Multi-pedestrian detection in crowded scenes: A global view
    • J. Yan, Z. Lei, D. Yi, and S. Z. Li. Multi-pedestrian detection in crowded scenes: A global view. In CVPR, pages 3124-3129, 2012.
    • (2012) CVPR , pp. 3124-3129
    • Yan, J.1    Lei, Z.2    Yi, D.3    Li, S.Z.4
  • 21
    • 84911405546 scopus 로고    scopus 로고
    • B. Yang. http://iris.usc.edu/people/yangbo/downloads.html.
    • Yang, B.1
  • 22
    • 84866644597 scopus 로고    scopus 로고
    • Multi-target tracking by online learning of non-linear motion patterns and robust appearance models
    • B. Yang and R. Nevatia. Multi-target tracking by online learning of non-linear motion patterns and robust appearance models. In CVPR, pages 1918-1925, 2012.
    • (2012) CVPR , pp. 1918-1925
    • Yang, B.1    Nevatia, R.2
  • 23
    • 84866654237 scopus 로고    scopus 로고
    • An online learned CRF model for multitarget tracking
    • B. Yang and R. Nevatia. An online learned CRF model for multitarget tracking. In CVPR, pages 2034-2041, 2012.
    • (2012) CVPR , pp. 2034-2041
    • Yang, B.1    Nevatia, R.2
  • 24
    • 33744961572 scopus 로고    scopus 로고
    • Real-time multiple objects tracking with occlusion handling in dynamic scenes
    • T. Yang, S. Z. Li, Q. Pan, and J. Li. Real-time multiple objects tracking with occlusion handling in dynamic scenes. In CVPR, pages 970-975, 2005.
    • (2005) CVPR , pp. 970-975
    • Yang, T.1    Li, S.Z.2    Pan, Q.3    Li, J.4
  • 25
    • 84867851396 scopus 로고    scopus 로고
    • GMCP-tracker: Global multi-object tracking using generalized minimum clique graphs
    • A. R. Zamir, A. Dehghan, and M. Shah. GMCP-tracker: Global multi-object tracking using generalized minimum clique graphs. In ECCV, pages 343-356, 2012.
    • (2012) ECCV , pp. 343-356
    • Zamir, A.R.1    Dehghan, A.2    Shah, M.3
  • 26
    • 51949088494 scopus 로고    scopus 로고
    • Global data association for multi-object tracking using network flows
    • L. Zhang, Y. Li, and R. Nevatia. Global data association for multi-object tracking using network flows. In CVPR, 2008.
    • (2008) CVPR
    • Zhang, L.1    Li, Y.2    Nevatia, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.