Respiratory Monitoring Based on Video Processing

  • Zhoucheng Li
  • Feng Wang
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 42)

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.

Keywords

respiratory monitoring video processing computer vision 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Zhoucheng Li
    • 1
  • Feng Wang
    • 1
  1. 1.School of Biological Science and Medical EngineeringSoutheast UniversityNanjingChina

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