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- W2743635534 abstract "In this paper we propose a complete method for breath rate estimation using thermal video streams and computer vision algorithms. The system performs subject nose detection, interest point extraction and tracking, geometric transformation and minimum thermal region estimation. All algorithms are carefully designed in order to ensure real-time capability on a regular desktop computer. The experimental evaluation validates the proposed methodology, when compared with traditional breath rate extraction methods, returning high accuracy scores." @default.
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- W2743635534 date "2017-06-01" @default.
- W2743635534 modified "2023-10-14" @default.
- W2743635534 title "Respiratory rate estimation using nostril detection in thermal video streams" @default.
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- W2743635534 doi "https://doi.org/10.1109/ehb.2017.7995396" @default.
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