We propose a novel method for detecting hands and hand-held objects in desktop manipulation situations. In order to achieve robust tracking under few constraints, we use multiple ...
We introduce, characterize and test a vision-based dead-reckoning system for wearable computing that allows to track the user’s trajectory in an unknown and non-instrumented envi...
Daniel Roggen, Reto Jenny, Patrick de la Hamette, ...
This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks object by maximizing the similarity betwe...
We introduce mixture trees, a tree-based data-structure for modeling joint probability densities using a greedy hierarchical density estimation scheme. We show that the mixture tr...