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CVPR
2008
IEEE
14 years 7 months ago
Efficient mean shift belief propagation for vision tracking
A mechanism for efficient mean-shift belief propagation (MSBP) is introduced. The novelty of our work is to use mean-shift to perform nonparametric mode-seeking on belief surfaces...
Minwoo Park, Yanxi Liu, Robert T. Collins
ICPR
2010
IEEE
14 years 7 days ago
Sensor Fusion for Cooperative Head Localization
—In modern video surveillance systems, pan–tilt– zoom (PTZ) cameras certainly have the potential to allow the coverage of wide areas with a much smaller number of sensors, co...
Alberto Del Bimbo, Fabrizio Dini, Giuseppe Lisanti...
CVBIA
2005
Springer
13 years 10 months ago
Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling
Abstract. Digital subtraction angiography (DSA) reconstructions and 3D Magnetic Resonance Angiography (MRA) are the modalities of choice for diagnosis of vascular diseases. However...
Charles Florin, James Williams, Ali Khamene, Nikos...
JMLR
2010
137views more  JMLR 2010»
13 years 3 days ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
SENSYS
2006
ACM
13 years 11 months ago
Target tracking with binary proximity sensors: fundamental limits, minimal descriptions, and algorithms
We explore fundamental performance limits of tracking a target in a two-dimensional field of binary proximity sensors, and design algorithms that attain those limits. In particul...
Nisheeth Shrivastava, Raghuraman Mudumbai, Upamany...