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FGR
1996
IEEE
186views Biometrics» more  FGR 1996»
15 years 4 months ago
Cardboard People: A Parameterized Model of Articulated Image Motion
We extend the work of Black and Yacoob on the tracking and recognition of human facial expressions using parameterized models of optical flow to deal with the articulatedmotion of...
Shanon X. Ju, Michael J. Black, Yaser Yacoob
ICASSP
2011
IEEE
14 years 3 months ago
Joint disparity and optical flow by correspondence growing
The scene flow in binocular stereo setup is estimated using a seed growing algorithm. A pair of calibrated and synchronized cameras observe a scene and output a sequence of image...
Jan Cech, Radu Horaud
CVPR
2010
IEEE
15 years 7 months ago
Modeling and Estimating Persistent Motion with Geometric Flows
We propose a principled framework to model persistent motion in dynamic scenes. In contrast to previous efforts on object tracking and optical flow estimation that focus on local...
Dahua Lin, Eric Grimson, John Fisher
MVA
2007
139views Computer Vision» more  MVA 2007»
15 years 1 months ago
A Method for Estimating Rigid Object Motion Using Regularized Scene Flow
In this paper, we propose a method for estimating object motion by three-dimensional scene flow using multiple cameras. The scene flow is regularized by applying subspace constr...
Hiroki Mizuno, Hironobu Fujiyoshi
ICPR
2000
IEEE
16 years 27 days ago
Statistical Motion-Based Object Indexing Using Optic Flow Field
In this paper, we propose an original approach for content-based video indexing and retrieval. It relies on the tracking of entities of interest and the analysis of their apparent...
Ronan Fablet, Patrick Bouthemy