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CVPR
2010
IEEE
12 years 2 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
TSMC
2010
13 years 4 days ago
A Two-Stage Dynamic Model for Visual Tracking
We propose a new dynamic model which can be used within blob trackers to track the target's center of gravity. A strong point of the model is that it is designed to track a va...
Matej Kristan, Stanislav Kovacic, Ales Leonardis, ...
ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
13 years 4 months ago
Improved Monte Carlo localization of autonomous robots through simultaneous estimation of motion model parameters
Abstract— In recent years, there has been an increasing interest in autonomous navigation for lightweight flying robots. With regard to self-localization flying robots have sev...
Jörg Müller 0004, Christoph Gonsior, Wol...
IJRR
2010
153views more  IJRR 2010»
13 years 2 months ago
Cooperative AUV Navigation using a Single Maneuvering Surface Craft
This paper describes the experimental implementation of an online algorithm for cooperative localization of submerged autonomous underwater vehicles (AUVs) supported by an autonom...
Maurice F. Fallon, Georgios Papadopoulos, John J. ...