Changkyu Song, Jeany Son, Suha Kwak, and Bohyung Han,

Dynamic Resource Allocation by Ranking SVM for Particle Filter Tracking,

in British Machine Vision Conference 2011 (BMVC 2011), Aug. 29th - Sept. 2nd, 2011, University of Dundee, Dundee, UK. [PDF] [Poster]

We propose a dynamic resource allocation algorithm based on Ranking Support Vector Machine (R-SVM) [1] for particle filter tracking. We adjust the number of observations in each frame adaptively and automatically, where tracker performs measurement for a subset of highly ranked particles in likelihood to preserve mode locations in the posterior and allocates the rest of particles to maintain the diversity of the posterior without actual measurements.

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