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ICIAR
2005
Springer
15 years 5 months ago
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...
Xingzhi Luo, Suchendra M. Bhandarkar
ICPR
2010
IEEE
15 years 1 months ago
Coarse-To-Fine Particle Filter by Implicit Motion Estimation for 3D Head Tracking on Mobile Devices
Due to the widely spread mobile devices over the years, a low cost implementation of an efficient head tracking system is becoming more useful for a wide range of applications. In...
Hacheon Sung, Kwontaeg Choi, Hyeran Byun
CORR
2007
Springer
95views Education» more  CORR 2007»
14 years 12 months ago
Slope One Predictors for Online Rating-Based Collaborative Filtering
Rating-based collaborative filtering is the process of predicting how a user would rate a given item from other user ratings. We propose three related slope one schemes with pred...
Daniel Lemire, Anna Maclachlan
110
Voted
CORR
2007
Springer
144views Education» more  CORR 2007»
14 years 12 months ago
Distributing the Kalman Filter for Large-Scale Systems
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Usman A. Khan, José M. F. Moura
JSAC
2008
143views more  JSAC 2008»
14 years 12 months ago
Distributed Kalman filtering based on consensus strategies
In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements. Each agent constructs a local estimate based on its own m...
Ruggero Carli, Alessandro Chiuso, Luca Schenato, S...