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Zdenek Kalal Dissertation Titles

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  • Ondrej ChumCMP, CTU in PragueVerified email at cmp.felk.cvut.cz
  • Tomas PajdlaAssociate professor, Czech Technical University in PragueVerified email at cvut.cz
  • Štěpán ObdržálekResearcher in Computer Vision at Center for Machine Perception, Czech Technical UniversityVerified email at cmp.felk.cvut.cz
  • Lukáš NeumannCzech Technical UniversityVerified email at cmp.felk.cvut.cz
  • Tomáš VojířCzech Technical University in PragueVerified email at cmp.felk.cvut.cz
  • Luc Van Goolprofessor computer vision @ ETH Zurich ee.ethz.ch & @ KU Leuven, Head Toyota Res Lab @ KUL & ETHVerified email at esat.kuleuven.be
  • Kieron MesserCTO Face Recognition, Digital Barriers PlcVerified email at digitalbarriers.com
  • Miroslav HamouzAnalytics Research Manager, AlertMe.com Ltd.Verified email at alertme.com
  • Dmytro MishkinPhD student, Czech Technical University in PragueVerified email at cmp.felk.cvut.cz
  • Andrej MikulikCenter for Machine Perception, Czech Technical University in PragueVerified email at cmp.felk.cvut.cz
  • Tinne TuytelaarsKU Leuven - PSI / imec, BelgiumVerified email at esat.kuleuven.be
  • [1]

    Parekh Himani S., Darshak G, Thakore and Jaliya Udesang K. 2014 A survey on object detection and tracking methods International Journal of Innovative Research in Computer and Communication Engineering2 2970-2979

  • [2]
    Kristan M, Pflugfelder R, Leonardis A et al 2015 The Visual Object Tracking VOT2014 challenge results[J] Lecture Notes in Computer Science8926 191-217


  • [3]
    Kalal Zdenek, Mikolajczyk Krystian and Matas Jiri 2012 Tracking-learning-detection IEEE transactions on pattern analysis and machine intelligence34 1409-1422


  • [4]
    Kass Michael, Witkin Andrew and Terzopoulos Demetri 1988 Snakes: Active contour models International journal of computer vision1 321-331


  • [5]
    Fukunaga Keinosuke and Hostetler Larry 1975 The estimation of the gradient of a density function, with applications in pattern recognition IEEE Transactions on information theory21 32-40


  • [6]
    Comaniciu Dorin, Ramesh Visvanathan and Meer Peter 2003 Kernel-based object tracking IEEE Transactions on pattern analysis and machine intelligence25 564-577


  • [7]

    Zhu Shengli 2006 (zhejiang university) Research on video tracking based on Mean Shift and correlation algorithm PhD dissertation

  • [8]

    Yang Changjiang, Duraiswami Ramani and Davis Larry 2004 Eighteenth Annual Conference on Neural Information Processing Systems (Vancouver) Similarity measure for nonparametric kernel density based object tracking

  • [9]

    Kennedy J. and Eberhart R. 1995 (NJ, USA: IEEE) Particle swarm optimization [A] Proceedings of the IEEE International Conference on Neural Networks [C] Piscataway

  • [10]

    Eberhart Russell and Kennedy James 1995 Micro Machine and Human Science, 1995. MHS'95., Proceedings of the Sixth International Symposium on (IEEE) A new optimizer using particle swarm theory

  • [11]

    Chen Guo-chu and Yu Jin-shou 2005 Particle swarm optimization algorithm INFORMATION AND CONTROL-SHENYANG34 318

  • [12]

    Lowe David G. 1999 Computer vision, 1999. The proceedings of the seventh IEEE international conference on 2 (Ieee) Object recognition from local scale-invariant features

  • [13]

    Juan Luo and Gwun Oubong 2009 A comparison of SIFT, pca-SIFT and surf International Journal of Image Processing (IJIP)3 143-152

  • [14]
    Valgren Christoffer and Achim J. Lilienthal 2010 SIFT, SURF & seasons: Appearance-based long-term localization in outdoor environments Robotics and Autonomous Systems58 149-156


  • [15]

    Zhang Kaihua et al 2013 Fast tracking via spatio-temporal context learning 1311-1939 arXiv preprint arXiv

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