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Among those classical clustering algorithms, spectral clustering performs much better than K-means in most cases. However, for the sake of cubic time complexity, spectral clustering is hardly used for clustering large-scale data sets. Therefore, sampling-based methods such as Nystr¡§om method and Column sampling are respectively conducted as potential approaches to tackle this challenge. As we know,...
Detecting objects of interest from a video sequence is a fundamental and critical task in automated visual surveillance. Those objects can be either moving or stationary. However, most of current approaches only focus on discriminating moving objects by background subtraction. In this work, we propose layers segmentation to detect both of moving and stationary target objects from surveillance video...
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