This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
— This paper provides a detailed analysis of the motion planning subsystem for the MIT DARPA Urban Challenge vehicle. The approach is based on the Rapidly-exploring Random Trees ...
Yoshiaki Kuwata, Gaston A. Fiore, Justin Teo, Emil...
— We study the motion planning problem for planar star-shaped manipulators. These manipulators are formed by joining k “legs” to a common point (like the thorax of an insect)...
Motion estimation is a complex computation found in video compression algorithms, such as standards like MPEG-4 and H.263. This paper proposes an embedded reconfigurable array for...
We describe an approach for extracting threedimensional articulated motion from unrestricted monocular video sequences. We combine feature extraction methods based on active conto...
Jane Wilhelms, Allen Van Gelder, L. Atkinson-Derma...