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» A Computational Framework for Handling Motion
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CRV
2009
IEEE
139views Robotics» more  CRV 2009»
13 years 5 months ago
A Multiple Hypothesis Tracking Method with Fragmentation Handling
In this paper, we present a new multiple hypotheses tracking (MHT) approach. Our tracking method is suitable for online applications, because it labels objects at every frame and ...
Atousa Torabi, Guillaume-Alexandre Bilodeau
ECCV
1998
Springer
14 years 9 months ago
Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...
Philip H. S. Torr, Andrew Zisserman
ICIP
1995
IEEE
13 years 11 months ago
A harmonic retrieval framework for discontinuous motion estimation
Abstract— Motion discontinuities arise when there are occlusions or multiple moving objects in the scene that is imaged. Conventional regularization techniques use smoothness con...
Wei-Ge Chen, Georgios B. Giannakis, N. Nandhakumar
ICCV
1995
IEEE
13 years 11 months ago
Model-Based Tracking of Self-Occluding Articulated Objects
Computer sensing of hand and limb motion is an important problem for applications in humancomputer interaction and computer graphics. We describe a framework for local tracking of...
James M. Rehg, Takeo Kanade
3DIM
2005
IEEE
14 years 1 months ago
Stereo by Multiperspective Imaging under 6 DOF Camera Motion
Multiperspective imaging has been used to recover the structure of a scene. Although several algorithms for structure recovery have been developed as typified by stereo panoramas...
Naoyuki Ichimura