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    » Robust Occlusion Handling in Object Tracking
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    CVPR
    2011
    IEEE
    356views Computer Vision» more  CVPR 2011»
    Monocular 3D Scene Understanding with Explicit Occlusion Reasoning
    13 years 1 months ago
    Monocular 3D Scene Understanding with Explicit Occlusion Reasoning
    Download  www.gris.informatik.tu-darmstadt.de
    Scene understanding from a monocular, moving camera is a challenging problem with a number of applications including robotics and automotive safety. While recent systems have show...
    Christian Wojek, Stefan Walk, Stefan Roth, Bernt S...
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    TCSV
    2008
    74views more  TCSV 2008»
    Robust and Accurate Object Tracking Under Various Types of Occlusions
    13 years 5 months ago
    Robust and Accurate Object Tracking Under Various Types of Occlusions
    Download  www.cs.cmu.edu
    Jiyan Pan, Bo Hu, Jian Qiu Zhang
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    IEICET
    2006
    65views more  IEICET 2006»
    A Robust Object Tracking Method under Pose Variation and Partial Occlusion
    13 years 5 months ago
    A Robust Object Tracking Method under Pose Variation and Partial Occlusion
    Download  www.htlab.ice.uec.ac.jp
    Kazuhiro Hotta
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    ICVGIP
    2004
    151views Computer Vision» more  ICVGIP 2004»
    Handling Occlusions in Monocular Surveillance Systems
    13 years 7 months ago
    Handling Occlusions in Monocular Surveillance Systems
    Download  home.iitk.ac.in
    Recent advances in computing machines and the availability of inexpensive vision sensors have paved the way for development of real-time imaging systems. Smart systems with a sing...
    Prithwijit Guha, Nisarg Vyas, Amitabha Mukerjee, K...
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    ICCV
    2009
    IEEE
    408views Computer Vision» more  ICCV 2009»
    Segmentation, ordering and multi-object tracking using graphical models
    13 years 3 months ago
    Segmentation, ordering and multi-object tracking using graphical models
    Download  www.mas.ecp.fr
    In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
    Chaohui Wang, Martin de La Gorce, Nikos Paragios
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