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NIPS
2000
13 years 5 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
CG
2010
Springer
13 years 4 months ago
Realistic cloth augmentation in single view video under occlusions
Augmenting cloth in real video is a challenging task because cloth performs complex motions and deformations and produces complex shading on the surface. Therefore, for a realisti...
Anna Hilsmann, David C. Schneider, Peter Eisert
AVSS
2006
IEEE
13 years 10 months ago
3D Human Motion Analysis in Monocular Video Techniques and Challenges
Extracting meaningful 3D human motion information from video sequences is of interest for applications like intelligent humancomputer interfaces, biometrics, video browsing and ind...
Cristian Sminchisescu
NIPS
2007
13 years 6 months ago
A probabilistic model for generating realistic lip movements from speech
The present work aims to model the correspondence between facial motion and speech. The face and sound are modelled separately, with phonemes being the link between both. We propo...
Gwenn Englebienne, Tim Cootes, Magnus Rattray
ICRA
2009
IEEE
190views Robotics» more  ICRA 2009»
13 years 11 months ago
Whole body motion primitive segmentation from monocular video
Abstract— This paper proposes a novel approach for motion primitive segmentation from continuous full body human motion captured on monocular video. The proposed approach does no...
Dana Kulic, Dongheui Lee, Yoshihiko Nakamura