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» Evaluation and Selection of Models for Motion Segmentation
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ICCV
2009
IEEE
15 years 1 months ago
Bayesian selection of scaling laws for motion modeling in images
Based on scaling laws describing the statistical structure of turbulent motion across scales, we propose a multiscale and non-parametric regularizer for optic-flow estimation. R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...
ICIP
2000
IEEE
14 years 10 months ago
An Improved Video Object Tracking Algorithm Based on Motion Re-Estimation
In this paper, we try to improve a video object-tracking algorithm using a motion re-estimation scheme. The usual object tracking algorithm is composed of two steps: object projec...
Jungeun Lim, Hong K. Cho, Jong Beom Ra
CVIU
2000
91views more  CVIU 2000»
13 years 8 months ago
Attentional Scene Segmentation: Integrating Depth and Motion
We present an approach to attention in active computer vision. The notion of attention plays an important role in biological vision. In recent years, and especially with the emergi...
Atsuto Maki, Peter Nordlund, Jan-Olof Eklundh
EMMCVPR
2007
Springer
14 years 2 months ago
Compositional Object Recognition, Segmentation, and Tracking in Video
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
Björn Ommer, Joachim M. Buhmann
CVPR
2010
IEEE
13 years 6 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang