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ICMCS
2006
IEEE
215views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Experiential Sampling based Foreground/Background Segmentation for Video Surveillance
Segmentation of foreground and background has been an important research problem arising out of many applications including video surveillance. A method commonly used for segmenta...
Pradeep K. Atrey, Vinay Kumar, Anurag Kumar, Mohan...
ADVIS
2000
Springer
13 years 11 months ago
What Do Hyperlink-Proposals and Request-Prediction Have in Common?
This paper focuses on fundamental similarities between proposing links for hypertexts and predicting user-requests. It briefly outlines the theoretical background of both categorie...
Ernst Georg Haffner, Uwe Roth, Andreas Heuer 0002,...
WACV
2005
IEEE
14 years 1 months ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert
DIAL
2006
IEEE
130views Image Analysis» more  DIAL 2006»
14 years 1 months ago
Improving the Quality of Degraded Document Images
It is common for libraries to provide public access to historical and ancient document image collections. It is common for such document images to require specialized processing i...
Ergina Kavallieratou, Efstathios Stamatatos
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
14 years 1 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...