Study on Real-Time Heart Rate Detection Based on Multi-People

Heart rate is an important vital characteristic which indicates physical and mental health status. Typically heart measurement instruments require direct contact with the skin time-consuming costly. Therefore, study of non-contact methods great importance. Based on principles photoelectric volumetric tracing, we use a computer device camera to capture facial images, accurately detect face regions, multiple images using multi-target tracking algorithm. Then after regional segmentation image, signal acquisition region interest further resolved. Finally, frequency detection collected Photoplethysmography (PPG) Electrocardiography (ECG) signals completed peak detection, Fourier analysis, Wavelet filter. The experimental results show that subject’s can be detected quickly even when monitoring targets simultaneously.