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ROI Selected by Pixel2Pixel for Measuring Heart Rate Based on IPPG

In order to solve the problems of inaccurate non-contact heart rate measurement, some methods in the process are optimized in this paper. Firstly, the KCF is used to track the points of facial feature detected by SSD method. Secondly, each of the tracked facial images are segmented by Pixel2Pixel to extract the mean of RGB channels from skin region. Thirdly, the extracted RGB signals are processed by the combination of POS and EEMD to obtain purer BVP signals. Finally, the heart rate value is calculated by two methods of time domain and frequency domain, which is compared and analyzed with the truths provided by the UBFC-RPPG database to verify the feasibility of this method. The experimental results show that the method proposed in this paper can measure the heart rate value accurately, which meets the relevant standards of medical physiological measurement fully.