Abstract
Recent advancements in video processing make video-based heart rate (HR) estimation possible. Building on this burgeoning field, we adapted an existing video-based HR estimation method to produce more robust and accurate results. Specifically, we removed periodic signals from the recording environment by identifying (and removing) frequency clusters that are present the face region and background. This adaptive passband filter generates more accurate HR estimates and allows other applied filters to work more effectively.
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