39 search results - page 1 / 8 » Probabilistic Detection and Tracking of Motion Boundaries |
IJCV
2000
13 years 4 months ago
2000
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
ICCV
1999
IEEE
14 years 6 months ago
1999
IEEE
We propose a Bayesian framework for representing and recognizing local image motion in terms of two primitive models: translation and motion discontinuity. Motion discontinuities ...
PRIS
2001
13 years 5 months ago
2001
This paper addresses the problem of tracking objects with complex motion dynamics or shape changes. It is assumed that some of the visual features detected in the image (e.g., edg...
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper, we present an algorithm for occlusion boundary detection. The main contribution is a probabilistic detection framework defined on spatio-temporal lattices, which en...
ISBI
2008
IEEE
14 years 5 months ago
2008
IEEE
Tracking of multiple objects in biological image data is a challenging problem due largely to poor imaging conditions and complicated motion scenarios. Existing tracking algorithm...