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» A Probabilistic Background Model for Tracking
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HRI
2006
ACM
15 years 3 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
ICPR
2004
IEEE
15 years 10 months ago
Evaluation of Three Optical Flow-Based Observation Models for Tracking
In this paper, we study the use of optical flow as a characteristic for tracking. We analyze the behavior of three flowbased observation models for particle filter algorithms, and...
José M. Fuertes, Manuel J. Lucena, Nicolas ...
68
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BMCBI
2006
130views more  BMCBI 2006»
14 years 9 months ago
Identifying biological concepts from a protein-related corpus with a probabilistic topic model
Background: Biomedical literature, e.g., MEDLINE, contains a wealth of knowledge regarding functions of proteins. Major recurring biological concepts within such text corpora repr...
Bin Zheng, David C. McLean Jr, Xinghua Lu
MVA
1996
109views Computer Vision» more  MVA 1996»
14 years 11 months ago
Model Based Tracking on 3D Objects
In this paper, a new tracking algorithm, based on local minimum energy, is proposed for matching between a projected model and corresponding image features in real-time. The algor...
Zheng Li, Han Wang
ISPAN
1999
IEEE
15 years 2 months ago
Location Updates and Probabilistic Tracking Algorithms for Mobile Cellular Networks
In this work, we develop a novel mathematical model to analyze di erent location update protocols for mobile cellular network. Our model can capture many important features of use...
John C. S. Lui, Cedric C. F. Fong, H. W. Chan