A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
We propose a dynamic resource allocation algorithm based on Ranking Support Vector Machine (R-SVM) for particle filter tracking. We adjust the number of observations in each frame adaptively, where tracker performs measurement for a subset of particles to preserve mode locations in the posterior and allocates the rest of particles to maintain the diversity of the posterior without actual measurements. The number of measurements is determined by a ranking classifier, which evaluates the qualitydoi:10.5244/c.25.103 dblp:conf/bmvc/SongSKH11 fatcat:s4h6diwbq5brri3mg25miced4m