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We present particle filtering (PF) algorithms for an accurate respiratory rate extraction from pulse oximeter recordings over a broad range: 12-90 breaths/min. These methods are based on an autoregressive (AR) model, where the aim is to find the pole angle with the highest magnitude as it corresponds to the respiratory rate. However, when SNR is low, the pole angle with the highest magnitude may not...
Object detection by visual sensors is a critical component of surveillance systems and has many challenging issues. This paper addresses enhancement of object detection with multiple visual sensors. The detection enhancement we introduce is to recover missed object detection given partially detected objects among multiple visual sensors. Once an object is detected by one or more visual sensors, the...
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