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A novel platform, DeepPredict, for predicting hospital bed exit events from video camera systems is proposed. DeepPredict processes video data with a deep convolutional neural network consisting of five main layers: a 1 × 1 3D convolutional layer used for generating feature maps from raw video data, a context-aware pooling layer used for rectifying data from different camera angles, two fully connected...
Global saliency is an important aspect of many computerand robotic vision tasks, and with the increased interest infields such as autonomous navigation, a significant area ofresearch. A challenging aspect of modelling global saliencyin practical applications is the presence of varying or non-uniform illumination conditions. Many current models fail toaccurately detect salient regions in non-uniform...
A novel method for remote heart rate estimation via analysis in the time-frequency domain is proposed. A photoplethysmogram (PPG) waveform is constructed via a Bayesian minimization approach with the required posterior probability obtained through an importance-weighted Monte Carlo sampling method. A pulselet (wavelet chosen for its similarities with a finger pulse oximiter PPG waveform), is used...
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