Respiratory Rate Monitoring by Video Processing Using Local Motion Magnification

Breathing monitoring by non-contact video processing has been the subject of recent research. This paper presents an advanced video processing algorithm for reliable Respiratory Rate (RR) monitoring based on the analysis of local video variations and a motion magnification method. This novel algorithm improves over the existing solutions in terms of estimation accuracy and excision of large body movements unrelated with respiration. Applications to adults and infants are presented to demonstrate the performance of the proposed algorithm and compare it with previous work.