7139

Accelerated People Tracking Using Texture in a Camera Network

Wasit Limprasert, Andrew Wallace, Greg Michaelson
School of Mathematical and Computer Sciences,Heriot-Watt University, Edinburgh, Scotland
VISAPP, 2012

@article{limprasert2012accelerated,

   title={ACCELERATED PEOPLE TRACKING USING TEXTURE IN A CAMERA NETWORK},

   author={Limprasert, W. and Wallace, A. and Michaelson, G.},

   year={2012}

}

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We present an approach to tracking multiple human subjects within a camera network. A particle filter framework is used in which we combine foreground-background subtraction with a novel approach to texture learning and likelihood computation based on an ellipsoid model. As there are inevitable problems with multiple subjects due to occlusion and crossing, we include a robust method to suppress distraction between subjects. To achieve real-time performance, we have also developed our code on a graphics processing unit to achieve a 10-fold reduction in processing time with an approximate frame rate of 10 frames per second.
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