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» Background subtraction in highly dynamic scenes
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CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
14 years 13 days 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...
ICASSP
2011
IEEE
12 years 10 months ago
Effective multi-resolution background subtraction
In this paper, we propose a novel multi-resolution background subtraction method. We adopt coarse to fine strategy, which is the essence the multi-resolution scheme, to obtain th...
LingFeng Wang, Chunhong Pan
AVSS
2005
IEEE
13 years 12 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...
ISDA
2010
IEEE
13 years 3 months ago
Self-adaptive Gaussian mixture models for real-time video segmentation and background subtraction
The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models ...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
ACIVS
2007
Springer
13 years 10 months ago
Joint Domain-Range Modeling of Dynamic Scenes with Adaptive Kernel Bandwidth
Abstract. The first step in various computer vision applications is a detection of moving objects. The prevalent pixel-wise models regard image pixels as independent random process...
Borislav Antic, Vladimir S. Crnojevic