Sciweavers

BMCBI
2007
239views more  BMCBI 2007»
13 years 4 months ago
Pre-processing Agilent microarray data
Background: Pre-processing methods for two-sample long oligonucleotide arrays, specifically the Agilent technology, have not been extensively studied. The goal of this study is to...
Marianna Zahurak, Giovanni Parmigiani, Wayne Yu, R...
ICCV
2007
IEEE
13 years 4 months ago
Efficient Silhouette Extraction with Dynamic Viewpoint
A novel approach is proposed that extends the classical background subtraction method to extract silhouettes from videos in real time with dynamic viewpoint variation caused by ca...
Yueting Zhuang, Cheng Chen
CRV
2008
IEEE
310views Robotics» more  CRV 2008»
13 years 6 months ago
An Efficient Region-Based Background Subtraction Technique
This paper proposes an efficient region-based background subtraction technique using static camera for motion detection in various monitoring applications. Color histograms, textu...
Parisa Darvish Zadeh Varcheie, Michael Sills-Lavoi...
CAIP
2003
Springer
176views Image Analysis» more  CAIP 2003»
13 years 9 months ago
Evaluation of an Adaptive Composite Gaussian Model in Video Surveillance
Video surveillance systems seek to automatically identify events of interest in a variety of situations. Extracting a moving object from background is the most important step of t...
Qi Zang, Reinhard Klette
AVSS
2005
IEEE
13 years 10 months ago
An effective real-time mosaicing algorithm apt to detect motion through background subtraction using a PTZ camera
Nowadays, many visual surveillance systems exploit PTZ camera to increase the field of view of a surveyed area. The background subtraction technique is widespread to detect movin...
Pietro Azzari, Luigi di Stefano, Alessandro Bevila...
GI
2007
Springer
13 years 10 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
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
13 years 10 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...
ICMCS
2007
IEEE
133views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Foreground Segmentation in Surveillance Scenes Containing a Door
We propose a new method for performing accurate background subtraction in scenes with a door, like a building entrance or a hallway. This kind of scene is common in surveillance a...
Andrew Miller, Mubarak Shah
ICPR
2008
IEEE
13 years 11 months ago
Robust estimation of foreground in surveillance videos by sparse error estimation
Frames of videos with static background and dynamic foreground can be viewed as samples of signals that vary slowly in time with sparse corruption caused by foreground objects. We...
Mert Dikmen, Thomas S. Huang
ICPR
2008
IEEE
13 years 11 months ago
Back to the future: Robust foreground extraction with reversed-time background modeling
“Ghosts” arise in traditional background subtraction when an object starts to move, causing the exposed background to be labelled as a ghost foreground. With background model ...
Akhilesh Kumar Sinha, Prithwijit Guha, Amitabha Mu...