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» Enhanced Network-State Estimation using Change Detection
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GI
2007
Springer
14 years 3 months ago
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection
: Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background s...
Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell
ICASSP
2009
IEEE
14 years 4 months ago
Using complex-valued ICA to efficiently combine radar polarimetric data for target detection
Target detection in sea clutter is a challenging problem in radar detection, specifically, when the Doppler return of the target and clutter are collocated. Polarization diverse ...
Mike Novey, Tülay Adali
CVIU
2007
121views more  CVIU 2007»
13 years 9 months ago
Background estimation under rapid gain change in thermal imagery
We consider detection of moving ground vehicles in airborne sequences recorded by a thermal sensor with automatic gain control, using an approach that integrates dense optic flow...
Hulya Yalcin, Robert T. Collins, Martial Hebert
ICPR
2008
IEEE
14 years 11 months ago
NorMaL: Non-compact Markovian Likelihood for change detection
This paper presents a new normalcy model of a scene for change detection using images taken from multiple views and varying illumination conditions. Each coregistered pixel site i...
David B. Cooper, Joseph L. Mundy, Osman Gokhan Sez...
ICPR
2000
IEEE
14 years 2 months ago
Skin Detection in Video under Changing Illumination Conditions
Techniques for color-based tracking of faces or hands often assume a static skin color model. However, skin color perceived by a camera can change when lighting changes. In common...
Maricor Soriano, Birgitta Martinkauppi, Sami Huovi...