562 search results - page 83 / 113 » Robust evidence-based object tracking |
NIPS
2003
13 years 11 months ago
2003
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
ECCV
2010
Springer
14 years 3 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
CVPR
2005
IEEE
14 years 12 months ago
2005
IEEE
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
FGR
2000
IEEE
14 years 1 months ago
2000
IEEE
This paper presents a novel approach to robust and flexible person tracking using an algorithm that combines two powerful stochastic modeling techniques: The first one is the tech...
MMM
2010
Springer
14 years 6 months ago
2010
Springer
We propose a novel clustering scheme for spatio-temporal segmentation of sparse motion fields obtained from feature tracking. The approach allows for the segmentation of meaningfu...