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DIFFUSION BACKGROUND MODEL FOR MOVING OBJECTS DETECTION
Background modelling movement detection
2015/5/21
In this paper, we propose a new approach for moving objects detection in video surveillance systems. It is based on construction of the
regression diffusion maps for the image sequence. This approac...
Fast Moving Objects Detection Using iLBP Background Model
Background model LBP descriptor iLBP descriptor regression model video surveillance object detection
2014/9/9
In this paper a new approach for moving objects detection in video surveillance systems is proposed. It is based on iLBP (intensity local binary patterns) descriptor that combines the classic LBP (loc...
A tree-based kernel selection approach to efficient Gaussian mixture model–universal background model based speaker identification
Speaker recognition Speaker identification Tree-based kernel selection GMM–UBM
2013/6/28
We propose a tree-based kernel selection (TBKS) algorithm as a computationally efficient approach to the Gaussian mixture model–universal background model (GMM–UBM) based speaker identification. All G...