Abstract
A modified method to extract and track a person’s subtle respiratory movement during sleep based on video sequence is proposed. To detect this subtle movement, we need accurately register the video sequence. After registration, Lucas-Kanade optical flow was adopted to track feature points. By analyzing these feature trajectories, feature points that represent the respiratory movement during breathing are extracted. The experiment results show that this method could successfully track the respiratory movement of a person with lying posture.
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© 2014 Springer International Publishing Switzerland
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Li, Z., Wang, F. (2014). Respiratory Monitoring Based on Video Processing. In: Zhang, YT. (eds) The International Conference on Health Informatics. IFMBE Proceedings, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-319-03005-0_10
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DOI: https://doi.org/10.1007/978-3-319-03005-0_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03004-3
Online ISBN: 978-3-319-03005-0
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