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    ISCAS
    2003
    IEEE
    133views Hardware» more  ISCAS 2003»
    A mutual information approach to articulated object tracking
    14 years 19 days ago
    A mutual information approach to articulated object tracking
    Download  poseidon.csd.auth.gr
    A mutual information based articulated object tracking scheme is proposed in this paper. Articulation constraints are introduced using a kinematic model. Further constraints are i...
    Evangelos Loutas, Nikos Nikolaidis, Ioannis Pitas
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    CDC
    2008
    IEEE
    200views Control Systems» more  CDC 2008»
    Maximum-likelihood Kalman filtering for switching discrete-time linear systems
    14 years 1 months ago
    Maximum-likelihood Kalman filtering for switching discrete-time linear systems
    Download  www.nt.ntnu.no
    — State estimation is addressed for a class of discrete-time systems that may switch among different modes taken from a finite set. The system and measurement equations of each ...
    Angelo Alessandri, Marco Baglietto, Giorgio Battis...
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    JUCS
    2010
    265views more  JUCS 2010»
    A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
    13 years 5 months ago
    A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
    Download  www.jucs.org
    : The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
    Ahmed Ali, Kenji Terada
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    EC
    2008
    164views ECommerce» more  EC 2008»
    Tracking Moving Optima Using Kalman-Based Predictions
    13 years 7 months ago
    Tracking Moving Optima Using Kalman-Based Predictions
    Download  oa.upm.es
    The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
    Claudio Rossi, Mohamed Abderrahim, Julio Cé...
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    ICPR
    2008
    IEEE
    127views Computer Vision» more  ICPR 2008»
    Temporal difference learning to detect unsafe system states
    14 years 8 months ago
    Temporal difference learning to detect unsafe system states
    Download  www.ifp.illinois.edu
    Huazhong Ning, Thomas S. Huang, Wei Xu, Yihong Gon...
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