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Recent years have seen increased attention being given to measure Heart Rate with remote-PPG. Previous work mainly focused on optimal signal extraction from three channels of a webcam. Several robust signal extraction methods using either optic models or frequency analysis have been discussed before. After applied these algorithms, residual noise still emerges occasionally with short time duration...
Internet applications provide various communication patterns to meet a wide range of user needs. Understanding the characteristics of Internet applications and traffic is essential for network engineering and supervision. In this paper, based on detailed flow data collected from public network of Internet service provider, the statistical characteristics of applications are investigated from complex...
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...
This Paper deals with disturbance rejection, when the external disturbance signal is a chaotic process. We measure the amount of chaos by the Kolmogorov-Simai entropy. The natural question is the extent to which the Kolmogorov-Sinai entropy is reduced by means of a feedback. This answer is that it is not possible to reduce the Kolmogorov-Sinai entropy by linear, stationary feedback if the open loop...
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