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IJCV
2008
167views more  IJCV 2008»
15 years 7 months ago
Learning Layered Motion Segmentations of Video
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...
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
16 years 1 months ago
Shape, Motion, and Parameter Estimation of Large Flexible Space Structures using Range Images
– 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 ...
Matthew D. Lichter, Steven Dubowsky
220
Voted
MIRAGE
2009
Springer
16 years 12 hour ago
Region-Based vs. Edge-Based Registration for 3D Motion Capture by Real Time Monoscopic Vision
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...
David Antonio Gómez Jáuregui, Patric...
HUMO
2000
Springer
15 years 11 months ago
Human Motion from Active Contours
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...
181
Voted
ICCV
2009
IEEE
17 years 13 days ago
Learning Pedestrian Dynamics from the Real World
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...
Paul Scovanner, Marshall Tappen