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In this paper a new synthetic test sequence for evaluation of mosquito noise (MN) due to video codecs is presented with accompanying detection algorithm. The approach and methodology are based on a specially designed test pattern that highlights the MN artefacts. Because of its codec independence, MN can be measured for all types of compression methods like MPEG-1, MPEG-2, H.264, XVid, DivX.. A micro...
Fast and accurate foreground detection in video sequences is the first step in many computer vision applications. In this paper, we propose a new method for background modeling that operates in color and gray spaces and that manages the entropy information to obtain the pixel state card. Our method is recursive and does not require a training period to handle various problems when classify pixels...
A classification-based, low-complexity motion-compensated spatio-temporal noise reduction filter that preprocess a video sequence before encoding is presented in this paper. The classification of small blocks of each frame into texture, edge and homogenous are applied before filtering. And then motion-compensated temporal and spatio-temporal filtering are applied to classified small blocks accordingly...
Motion segmentation is a very critical task in video surveillance system. In this paper, we propose a novel approach to detect moving objects in a complex background. Gaussian mixture model (GMM) is an effective way to extract moving objects from a video sequence. However, the conventional mixture Gaussian method suffers from false motion detection in complex backgrounds and slow convergence. This...
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