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» Object Tracking by Adaptive Modeling
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114
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ICIP
2001
IEEE
16 years 4 months ago
Segmentation-based spatially adaptive motion blur removal and its application to surveillance systems
Various image restoration methods have been studied for removing space-variant motion blur such as iterative and POCS method. However, their computational complexity of the method...
SangKyu Kang, Jihong Min, Joon Ki Paik
140
Voted
TSP
2011
197views more  TSP 2011»
14 years 9 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
MICCAI
2005
Springer
15 years 8 months ago
Adaptive Spatio-Temporal Restoration for 4D Fluorescence Microscopic Imaging
Abstract. We present a spatio-temporal filtering method for significantly increasing the signal-to-noise ratio (SNR) in noisy fluorescence microscopic image sequences where smal...
Jérôme Boulanger, Charles Kervrann, P...
IJCAI
2003
15 years 3 months ago
An Extension of the ICP Algorithm for Modeling Nonrigid Objects with Mobile Robots
The iterative closest point (ICP) algorithm [2] is a popular method for modeling 3D objects from range data. The classical ICP algorithm rests on a rigid surface assumption. Build...
Dirk Hähnel, Sebastian Thrun, Wolfram Burgard
JCISE
2002
148views more  JCISE 2002»
15 years 2 months ago
Hybrid Cellular-functional Modeling of Heterogeneous Objects
An approach to modeling heterogeneous objects as multidimensional point sets with multiple attributes (hypervolumes) is presented. Attributes given at each point represent object ...
Valery Adzhiev, Elena Kartasheva, Tosiyasu L. Kuni...