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In this paper, we propose a novel algorithm based on the acceleration feature to detect anomalous crowd behaviors in video surveillance systems. Different from the previous work that uses independent local feature, the algorithm explores the global moving relation between the current behavior state and the previous behavior state. Due to the unstable optical flow resulting in the unstable speed, a...
Motion artifacts (MAs) are strong interference sources in wearable photoplethysmography (PPG) signals, significantly affecting estimation of heart rate (HR) and other physiological parameters. In this paper, a novel method called SPECTRAP is proposed for accurate motion-tolerant estimation of HR using a PPG signal and a simultaneous acceleration signal. The method first calculates the spectra of the...
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