抗运动干扰的人脸视频心率估计

Heart Rate Estimation from Face Videos Against Motion Interference

该文针对现有的人脸视频心率检测方法在现实情景中受运动干扰难以准确估计心率的问题,提出一种抑制运动干扰的非接触式心率估计新方法。首先利用判别响应图拟合与KLT跟踪算法消除人脸的刚性运动干扰;然后使用对运动鲁棒的色度特征进行两步心率估计,并引入空间梯度因子调控空域和频域的权重,抑制非刚性运动的干扰;最终得到人脸不同区域融合的平均心率数值和信号波形图,实现心率的精确估计。实验结果表明:所提方法相比其它的基于人脸视频的心率估计方法优势明显,提升了信号波形图和真实脉搏波形的一致性,进一步提高了心率估计的精度和鲁棒性。

A novel non-contact heart rate estimation method is proposed to deal with the issue of heart rate measurement from face videos under motion interference in realistic situations,it is hard to estimate heart rate accurately using existing methods.Firstly,the discriminative response map fitting method and KLT tracking algorithm are used to eliminate the influence of face rigid motion.Then the chrominance features are selected to estimate heart rate with two steps because of the robustness to facial movements.The frequency and spatial domain weights are assigned through spatial gradient to eliminate the influence of non-rigid motion.Finally,the accurate average heart rate value and pulse wave signal waveform can be acquired from different face regions.Compared with three other methods,experimental results indicate that the proposed method enhances the consistency of estimated waveform and ground truth waveform and has obvious superiority in accuracy and robustness of heart rate estimation.