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    ICIP
    2006
    IEEE
    147views Image Processing» more  ICIP 2006»
    Light and Fast Statistical Motion Detection Method Based on Ergodic Model
    14 years 9 months ago
    Light and Fast Statistical Motion Detection Method Based on Ergodic Model
    Download  iss.bu.edu
    In this paper, we propose a light and fast pixel-based statistical motion detection method based on a background subtraction procedure. The statistical representation of the backg...
    Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
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    VMV
    2003
    164views Visualization» more  VMV 2003»
    A Parallel Framework for Silhouette-Based Human Motion Capture
    13 years 8 months ago
    A Parallel Framework for Silhouette-Based Human Motion Capture
    Download  www.cg.cs.tu-bs.de
    This paper presents a method to capture human motion from silhouettes of a person in multi-view video streams. Applying a hierarchical kinematic body model motion parameters are e...
    Christian Theobalt, Joel Carranza, Marcus A. Magno...
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    NIPS
    2003
    227views Information Technology» more  NIPS 2003»
    Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation
    13 years 8 months ago
    Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation
    Download  research.microsoft.com
    The detection and pose estimation of people in images and video is made challenging by the variability of human appearance, the complexity of natural scenes, and the high dimensio...
    Leonid Sigal, Michael Isard, Benjamin H. Sigelman,...
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    FGR
    2006
    IEEE
    157views Biometrics» more  FGR 2006»
    Evaluating Error Functions for Robust Active Appearance Models
    14 years 1 months ago
    Evaluating Error Functions for Robust Active Appearance Models
    Download  www.ri.cmu.edu
    Active appearance models (AAMs) are generative parametric models commonly used to track faces in video sequences. A limitation of AAMs is they are not robust to occlusion. A recen...
    Barry-John Theobald, Iain Matthews, Simon Baker
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    CVPR
    2008
    IEEE
    207views Computer Vision» more  CVPR 2008»
    Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
    14 years 9 months ago
    Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
    Download  www.umiacs.umd.edu
    Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
    Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
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