关键词: 视频增强, 心率测量, 人脸定位, 特征点跟踪, 实时

Abstract: The content of oxyhemoglobin in human facial capillaries changes with the contraction and relaxation of the heart. With oxyhemoglobin absorption of light, skin color will also vary slightly, which cannot be observed by naked eyes. Using an effective video enhancement algorithm, a video-based heart rate measuring method is proposed. The face in the input video is located and feature points are tracked. Then the regions of the feature points are transformed into time-domain signals. The signals are enlarged and filtered to obtain the heart rate. In order to improve the accuracy and robustness of the detection algorithm, the green channel and multi-feature points are utilized. Compared with the traditional contact heart rate measurement equipment, the algorithm does not require contact with the body and has the advantages of a small degree of human bondage. Meanwhile, the heart rate measurement algorithm can be performed in real time and meets the applicable requirement with an average error of only 3.46 time/minute.

Key words: video enhancement, heart rate measurement, face detection, feature points tracking, real-time