We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
– Future space missions are expected to use robotic systems to assemble, inspect, and maintain large space structures in orbit. To carry out these tasks, robots need to know the ...
3D human motion capture by real-time monocular vision without using markers can be achieved by registering a 3D articulated model on a video. Registration consists in iteratively o...
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...
In this paper we describe a method to learn parameters
which govern pedestrian motion by observing video
data. Our learning framework is based on variational
mode learning and a...