Sciweavers

233 search results - page 40 / 47
» A Probabilistic Framework for Combining Tracking Algorithms
Sort
View
IROS
2008
IEEE
156views Robotics» more  IROS 2008»
14 years 1 months ago
Bayesian state estimation and behavior selection for autonomous robotic exploration in dynamic environments
— In order to be truly autonomous, robots that operate in natural, populated environments must have the ability to create a model of these unpredictable dynamic environments and ...
Georgios Lidoris, Dirk Wollherr, Martin Buss
CVPR
2006
IEEE
14 years 8 months ago
Supervised Learning of Edges and Object Boundaries
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
Piotr Dollár, Zhuowen Tu, Serge Belongie
RSS
2007
192views Robotics» more  RSS 2007»
13 years 8 months ago
Simultaneous Localisation and Mapping in Dynamic Environments (SLAMIDE) with Reversible Data Associa
Abstract— The conventional technique for dealing with dynamic objects in SLAM is to detect them and then either treat them as outliers [20][1] or track them separately using trad...
Charles Bibby, Ian D. Reid
TSP
2011
197views more  TSP 2011»
13 years 1 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
ICCV
2007
IEEE
14 years 8 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis