Article ID: 2025PCP0004
We propose a non-contact heart rate (HR) estimation method that models weak physiological blood volume pulse (BVP) signals and strong noise signals caused by background illumination. Our method integrates BVP signal extraction based on a physiological model and a flexible RGB/NIR integration scheme based on an illumination model in a unified manner. This unified framework enables accurate extraction of the BVP signal while suppressing noise derived from ambient light, and thus improves HR estimation performance. We demonstrate the effectiveness of our method through experiments using several datasets, including various illumination scenes. Our code will be available on https://github.com/kosuke-kurihara/PhysIllumHR.
