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» A Probabilistic Background Model for Tracking
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ATAL
2005
Springer
15 years 5 months ago
Coping with inaccurate reputation sources: experimental analysis of a probabilistic trust model
This research aims to develop a model of trust and reputation that will ensure good interactions amongst software agents in large scale open systems. The following are key drivers...
W. T. Luke Teacy, Jigar Patel, Nicholas R. Jenning...
ICCV
2001
IEEE
16 years 1 months ago
BraMBLe: A Bayesian Multiple-Blob Tracker
Blob trackers have become increasingly powerful in recent years largely due to the adoption of statistical appearance models which allow effective background subtraction and robus...
Michael Isard, John MacCormick
ITRUST
2005
Springer
15 years 5 months ago
A Probabilistic Trust Model for Handling Inaccurate Reputation Sources
Abstract. This research aims to develop a model of trust and reputation that will ensure good interactions amongst software agents in large scale open systems in particular. The fo...
Jigar Patel, W. T. Luke Teacy, Nicholas R. Jenning...
ICASSP
2009
IEEE
15 years 6 months ago
Data-driven online variational filtering in wireless sensor networks
In this paper, a data-driven extension of the variational algorithm is proposed. Based on a few selected sensors, target tracking is performed distributively without any informati...
Hichem Snoussi, Jean-Yves Tourneret, Petar M. Djur...
CVPR
2011
IEEE
14 years 3 months ago
Probabilistic Gaze Estimation Without Active Personal Calibration
Existing eye gaze tracking systems typically require an explicit personal calibration process in order to estimate certain person-specific eye parameters. For natural human compu...
Jixu Chen, Qiang Ji