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» A computational framework for incremental motion
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ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
15 years 6 months ago
A Bayesian framework for optimal motion planning with uncertainty
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
VMV
2003
164views Visualization» more  VMV 2003»
15 years 1 months ago
A Parallel Framework for Silhouette-Based Human Motion Capture
This paper presents a method to capture human motion from silhouettes of a person in multi-view video streams. Applying a hierarchical kinematic body model motion parameters are e...
Christian Theobalt, Joel Carranza, Marcus A. Magno...
ICPR
2010
IEEE
14 years 9 months ago
Real-Time Abnormal Event Detection in Complicated Scenes
In this paper, we proposed a novel real-time abnormal event detection framework that requires a short training period and has a fast processing speed. Our approach is based on phas...
Yinghuan Shi, Yang Gao, Ruili Wang
ECCV
2006
Springer
16 years 1 months ago
A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...
Jingyu Yan, Marc Pollefeys
CIVR
2004
Springer
128views Image Analysis» more  CIVR 2004»
15 years 5 months ago
A Geometrical Key-Frame Selection Method Exploiting Dominant Motion Estimation in Video
We describe an original method for selecting key frames to represent the content of every shot in a video. We aim at spatially sampling in an uniform way the coverage of the scene ...
Brigitte Fauvet, Patrick Bouthemy, Patrick Gros, F...