Heart rate measurement based on video acceleration magnification

The aim of this study is to improve the effect of Eulerian video magnification in non-contact heart rate measurement. Extracting the heart rate information from subtle head movements caused by blood circulation, we overcome the adverse condition that the person in the measurement should be completely still. Firstly, the temporal acceleration filter is used to preprocess the video and filter out the large low-frequency motion in the video. Secondly, face recognition is performed on each frame of the pre-processing video and face regions are cut out. The tracked face regions are reorganized to further reduce the impact of large movements. Heart rate information could be extracted from this reconstituted video. Experiment results indicate that the proposed method is more accurate in dynamic heart rate monitoring.