We present a multi-level probabilistic relaxation scheme appropriate for image segmentation on the basis of features computed at various resolution levels. At each level, we incor...
—Most research works focus on pattern recognition within a small sample images but strategies for running efficiently these algorithms over large images are rarely if ever speci...
Antoine Veillard, Nicolas Lomenie, Daniel Racocean...
We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as ...
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
In this work we develop appearance models for computing the similarity between image regions containing deformable objects of a given class in realtime. We introduce the concept o...
Gianfranco Doretto, Jens Rittscher, Peter H. Tu, T...