Method for improving face video heart rate detection by using illumination equalization method
A video and heart rate technology, which is applied in the field of improving face video heart rate detection by using light equalization method, can solve problems such as the impact of detection results, achieve the effects of improving brightness, reducing average error and standard deviation, and improving measurement accuracy
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[0020] like figure 1 As shown, the present invention utilizes illumination equalization method to improve the method for face video heart rate detection, comprises the following steps:
[0021] S1. Use a visible light camera to acquire face video images, keep still in front of the camera, reduce shaking, and maintain the light brightness of the collection environment. The camera uses a high-definition camera with 12 million pixels and a maximum resolution of 1920*1080;
[0022] S2, according to the human face video image collected in step S1, utilize multi-task convolutional neural network (MTCNN, Multi-task convolutional neural network) to complete the detection and positioning of human face, eyes, nose and corners of mouth;
[0023] S3, according to the positioning information of the face, eyes, nose and corners of the mouth acquired in the step S2, select the pulse original signal periodicity is strong, the region of interest ROI of the face video image with less noise;
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