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» Long term tracking using Bayesian networks
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IJCV
2000
161views more  IJCV 2000»
13 years 8 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
CORR
2010
Springer
94views Education» more  CORR 2010»
13 years 8 months ago
Real-Time Multi-path Tracking of Probabilistic Available Bandwidth
Applications such as traffic engineering and network provisioning can greatly benefit from knowing, in real time, what is the largest input rate at which it is possible to transmit...
Frederic Thouin, Mark Coates, Michael Rabbat
IPSN
2003
Springer
14 years 1 months ago
Multi-target Sensor Management Using Alpha-Divergence Measures
This paper presents a sensor management scheme based on maximizing the expected R´enyi Information Divergence at each sample, applied to the problem of tracking multiple targets. ...
Christopher M. Kreucher, Keith Kastella, Alfred O....
SENSYS
2003
ACM
14 years 1 months ago
Cooperative tracking with binary-detection sensor networks
We present a novel method for tracking the movement of people or vehicles in open outdoor environments using sensor networks. Unlike other sensor network-based methods, which depe...
Kirill Mechitov, Sameer Sundresh, YoungMin Kwon, G...
ISDA
2008
IEEE
14 years 2 months ago
Combining Clustering and Bayesian Network for Gene Network Inference
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
Suhaila Zainudin, Safaai Deris