Sciweavers

118
Voted
CVPR
2004
IEEE
16 years 5 months ago
Gibbs Likelihoods for Bayesian Tracking
Bayesian methods for visual tracking model the likelihood of image measurements conditioned on a tracking hypothesis. Image measurements may, for example, correspond to various fi...
Stefan Roth, Leonid Sigal, Michael J. Black
CVPR
2004
IEEE
16 years 5 months ago
Shaping Receptive Fields for Affine Invariance
The Gaussian kernel has played a central role in multi-scale methods for feature extraction and matching. In this paper, a method for shaping the filter using the local image stru...
S. Ravela
CVPR
2004
IEEE
16 years 5 months ago
Grouping Dominant Orientations for Ill-Structured Road Following
Many rural roads lack sharp, smoothly curving edges and a homogeneous surface appearance, hampering traditional vision-based road-following methods. However, they often have stron...
Christopher Rasmussen
146
Voted
CVPR
2004
IEEE
16 years 5 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
130
Voted
CVPR
2004
IEEE
16 years 5 months ago
Simultaneous Calibration and Tracking with a Network of Non-Overlapping Sensors
We describe a method for simultaneously recovering the trajectory of a target and the external calibration parameters of non-overlapping cameras in a multi-camera system. Each cam...
Ali Rahimi, Brian Dunagan, Trevor Darrell