Accelerated People Tracking Using Texture in a Camera Network
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}
}
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.
February 14, 2012 by hgpu
