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» Tracking Periodic Motion using Bayesian Estimation
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IPMI
2007
Springer
15 years 10 months ago
Rao-Blackwellized Marginal Particle Filtering for Multiple Object Tracking in Molecular Bioimaging
Modern live cell fluorescence microscopy imaging systems, used abundantly for studying intra-cellular processes in vivo, generate vast amounts of noisy image data that cannot be pr...
Ihor Smal, Katharina Draegestein, Niels Galjart, W...
AUTOMATICA
2010
113views more  AUTOMATICA 2010»
14 years 10 months ago
Decentralized estimation and control of graph connectivity for mobile sensor networks
The ability of a robot team to reconfigure itself is useful in many applications: for metamorphic robots to change shape, for swarm motion towards a goal, for biological systems to...
Peng Yang, Randy A. Freeman, G. J. Gordon, Kevin M...
ICRA
2008
IEEE
155views Robotics» more  ICRA 2008»
15 years 4 months ago
Learning tactic-based motion models with fast particle smoothing
— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...
Yang Gu, Manuela M. Veloso
ICIP
2005
IEEE
15 years 11 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
RAS
2010
167views more  RAS 2010»
14 years 8 months ago
Data association and occlusion handling for vision-based people tracking by mobile robots
This paper presents an approach for tracking multiple persons on a mobile robot with a combination of colour and thermal vision sensors, using several new techniques. First, an ad...
Grzegorz Cielniak, Tom Duckett, Achim J. Lilientha...