Monte Carlo localization (MCL) is a Bayesian algorithm for mobile robot localization based on particle filters, which has enjoyed great practical success. This paper points out a ...
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
We present an unsupervised algorithm for aligning a pair of shapes in the presence of significant articulated motion and missing data, while assuming no knowledge of a template, u...
Continuing in the steps of Jon Kleinberg's and others celebrated work on decentralized search, we conduct an experimental analysis of destination sampling, a dynamic algorithm...
Olof Mogren, Oskar Sandberg, Vilhelm Verendel, Dev...
In this study, a discriminative detector for object context is designed and tested. The context-feature is simple to implement, feed-forward, and effective across multiple object t...