Markerless tracking of human pose is a hard yet relevant problem. In this paper, we derive an efficient filtering algorithm for tracking human pose at 4-10 frames per second using...
Varun Ganapathi, Christian Plagemann, Sebastian Th...
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
— This paper proposes a new tracking algorithm within a 3D-SLAM framework that takes segmented range images as observations. The framework has two layers: the local layer tracks ...
Peter Kohlhepp, Georg Bretthauer, Marcus Walther, ...
In this paper, we present an active audition system for humanoid robot "SIG the humanoid". The audition system of the highly intelligent humanoid requires localization o...
Kazuhiro Nakadai, Tino Lourens, Hiroshi G. Okuno, ...
Sensor networks face a number of challenges when deployed in unpredictable environments under dynamic, quickly changeable demands, and when shared by many partners, which is often...
Lei Chen 0005, Zijian Wang, Boleslaw K. Szymanski,...