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Target Trajectory Prediction in PTZ Camera Networks


Vahab Akbarzadeh, Christian Gagné and Marc Parizeau


Abstract - In this paper we compare different mechanisms for the prediction of targets position inside a PTZ camera network. The goal is to predict the next location of each target with higher accuracy, in order to better plan the movements of the cameras at the next time step. For that purpose, we are proposing a probabilistic multimodal approach, and show that this prediction method can improve the total coverage of a camera network compared to other probabilistic prediction methods.

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Bibtex:

@inproceedings{Akbarzadeh982,
    author    = { Vahab Akbarzadeh and Christian Gagné and Marc Parizeau },
    title     = { Target Trajectory Prediction in PTZ Camera Networks },
    booktitle = { Proc. of the IEEE Workshop on Camera Networks and Wide Area Scene Analysis (WCNWASA 2013) },
    year      = { 2013 },
    month     = { 28 June },
    note      = { Colocated with the Computer Vision and Pattern Recognition Conference (CVPR 2013) },
    location  = { Portland (OR), USA }
}

Last modification: May 22 2013 3:02PM by cgagne

     
   
   

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