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» Multi-hypothesis Motion Planning for Visual Object Tracking
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CVPR
2009
IEEE
2305views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Visual tracking on the affine group via geometric particle filtering using optimal importance function
We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinateinvariant partic...
Junghyun Kwon (Seoul National University), Kyoung ...
IFIP
2010
Springer
15 years 2 months ago
Grasp Exploration for 3D Object Shape Representation Using Probabilistic Map
In this work it is shown the representation of 3D object shape acquired from grasp exploration. Electromagnetic motion tracking sensors are used on the fingers for object contour f...
Diego R. Faria, Ricardo Martins, Jorge Dias
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 2 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
ICRA
2007
IEEE
148views Robotics» more  ICRA 2007»
15 years 3 months ago
Remote Low Frequency State Feedback Kinematic Motion Control for Mobile Robot Trajectory Tracking
— Teleoperated robots generally receive high level commands from a remote system, while accomplishing motion control through conventional means. We present a teleoperated system ...
Daniel Montrallo Flickinger, Mark A. Minor
103
Voted
ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
14 years 7 months ago
A combination of particle filtering and deterministic approaches for multiple kernel tracking
Color-based tracking methods have proved to be efficient for their robustness qualities. The drawback of such global representation of an object is the lack of information on its s...
Céline Teuliere, Éric Marchand, Laur...