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» Evaluation of Feature Based Modelling in Subtraction
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ITS
1992
Springer
123views Multimedia» more  ITS 1992»
13 years 9 months ago
Evaluation of Feature Based Modelling in Subtraction
One aim of intelligent tutoring systems is to tailor lessons to each individual student's needs. To do this a tutoring system requires a model of the student's knowledge...
Mark Kuzmycz, Geoffrey I. Webb
TIFS
2010
128views more  TIFS 2010»
13 years 3 months ago
Steganalysis by subtractive pixel adjacency matrix
This paper presents a novel method for detection of steganographic methods that embed in the spatial domain by adding a low-amplitude independent stego signal, an example of which...
Tomás Pevný, Patrick Bas, Jessica J....
CVPR
2004
IEEE
14 years 6 months ago
Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation
Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When...
Anurag Mittal, Nikos Paragios
CVPR
2007
IEEE
14 years 6 months ago
Multi-Layer Background Subtraction Based on Color and Texture
In this paper, we propose a robust multi-layer background subtraction technique which takes advantages of local texture features represented by local binary patterns (LBP) and pho...
Jian Yao, Jean-Marc Odobez
ICPR
2008
IEEE
13 years 11 months ago
Background subtraction technique based on chromaticity and intensity patterns
This paper presents an efficient Real-Time method for detecting moving objects in unconstrained environments, using a background subtraction technique. A new background model that...
Ariel Amato, Mikhail Mozerov, Ivan Huerta Casado, ...