48 search results - page 3 / 10 » Coupled Detection and Trajectory Estimation for Multi-Object... |
CVPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
ECCV
2004
Springer
13 years 10 months ago
2004
Springer
Feature point tracking over a video sequence fails when the points go out of the field of view or behind other objects. In this paper, we extend such interrupted tracking by imposi...
MVA
2007
13 years 6 months ago
2007
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
In this paper, we present a system that integrates fully automatic scene geometry estimation, 2D object detection, 3D localization, trajectory estimation, and tracking for dynamic...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Tracking multiple interacting objects represents a challenging area in computer vision. The tracking problem in general can be formulated as the task of recovering the spatio-temp...