113 search results - page 4 / 23 » Integration of Dependent Bayesian Filters for Robust Trackin... |
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
Recently, the covariance region descriptor [1] has been proved robust and versatile for a modest computational cost. It enables efficient fusion of different types of features. Ba...
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
ICCV
2009
IEEE
15 years 10 days ago
2009
IEEE
In this paper we propose a robust visual tracking method
by casting tracking as a sparse approximation problem in a
particle filter framework. In this framework, occlusion, corru...
IJRR
2006
13 years 7 months ago
2006
Reliable and efficient perception and reasoning in dynamic and densely cluttered environments are still major challenges for driver assistance systems. Most of today's system...
DICTA
2003
13 years 8 months ago
2003
Robust visual tracking has become an important topic in the field of computer vision. The integration of cues such as color, edge strength and motion has proved to be a promising ...