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» A Computational Framework for Handling Motion
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ICPR
2008
IEEE
14 years 3 months ago
Structure from Motion: Combining features correspondences and optical flow
This paper suggests using discrete feature displacements and optical flow simultaneously to determine the camera motion and its velocity. This is advantageous when the number of ...
Adel H. Fakih, John Zelek
ICRA
1998
IEEE
100views Robotics» more  ICRA 1998»
14 years 1 months ago
Two Methods for Interpolating Rigid Body Motions
This paper investigates methods for computing a smooth motion that interpolates a given set of positions and orientations of a rigid body. To make the interpolation independent of...
Milos Zefran, Vijay Kumar
ISVC
2010
Springer
13 years 7 months ago
Learning Scene Entries and Exits Using Coherent Motion Regions
We present a novel framework to reliably learn scene entry and exit locations using coherent motion regions formed by weak tracking data. We construct “entities” from weak trac...
Matthew Nedrich, James W. Davis
BMVC
2010
13 years 7 months ago
Motion Coherent Tracking with Multi-label MRF optimization
We present a novel off-line algorithm for target segmentation and tracking in video. In our approach, video data is represented by a multi-label Markov Random Field model, and seg...
David Tsai, Matthew Flagg, James M. Rehg
CVPR
2008
IEEE
14 years 11 months ago
Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories
We examine the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this motion segmentation pr...
René Vidal, Roberto Tron, Shankar Rao, Yi M...