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Human face video processing-based heart rate detection method

A detection method and video processing technology, applied in pulse/heart rate measurement, diagnostic recording/measurement, sensors, etc., can solve problems such as difficulty in extracting BVP signals

Inactive Publication Date: 2016-10-05
HEFEI UNIV OF TECH
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Problems solved by technology

In the non-cooperative situation of head shaking, these methods are difficult to extract clean BVP signals, which will contain redundant noise, so they cannot solve the non-contact heart rate detection in real scenes including cooperative and non-cooperative situations. question

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  • Human face video processing-based heart rate detection method
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  • Human face video processing-based heart rate detection method

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Embodiment Construction

[0060] refer to figure 1 , the implementation steps of heart rate detection of the present invention are as follows:

[0061] Step 1, refer to figure 2 , place an ordinary webcam at a position 0.5m in front of the face, or above the computer monitor, and connect the camera to the computer with USB. The operator uses Matlab software to control the camera to shoot video to ensure that the face is completely within the video frame. All videos are continuously collected for 10 seconds with a resolution of 640×480, a frame rate of 30 frames per second, and RGB color space, and are saved in AVI format. .

[0062] Step 2: Perform face feature point detection and tracking on the collected video, and add tilt correction operation to obtain a stable face video, which effectively solves the three abnormal situations that cannot be avoided in the existing technology.

[0063] 2a) Using the first frame of the input video as a reference image, first detect the rectangular face area thro...

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Abstract

The invention discloses a human face video processing-based heart rate detection method. The method is implemented by the steps of (1) controlling a camera to acquire a video that the camera is over against a human face for 10s; (2) performing human face characteristic point detection and tracking on the acquired video, and performing tilt correction to obtain a stable human face video; (3) performing color space conversion on the human face video; (4) extracting a clean BVP (Blood Volume Pulse) signal from the human face video by utilizing video color amplification; and (5) performing iterative frequency domain analysis on a BVP and computing the frequency of the BVP signal to estimate a heart rate. According to the method, the interferences of a background and a rigid head motion are eliminated by utilizing human face characteristic point detection and tracking, the clean BVP signal is extracted through the video color amplification, and the iterative heart rate estimation is carried out, so that the accuracy of heart rate detection is improved and very good robustness is ensured; and the method can be used for non-contact heart rate detection in a real scene under cooperative and non-cooperative conditions.

Description

technical field [0001] The invention relates to the field of video image processing, in particular to a heart rate detection method based on face video processing. Background technique [0002] In recent years, video image processing has begun to set foot in the field of medical science, and has been applied in various links such as medical diagnosis, surgical guidance and daily health monitoring, and has played a powerful auxiliary role in the progress of medicine. Heart rate can reflect the health status of the human body, and it is also one of the most basic physiological indicators for judging cardiovascular diseases. Non-contact heart rate detection technology based on video processing is a typical application of video image processing in the medical field, which is of great significance to the prevention of cardiovascular diseases and postoperative rehabilitation. Traditional heart rate detection needs to use special sensors to touch multiple parts of the human body, ...

Claims

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Application Information

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IPC IPC(8): G06K9/00A61B5/024
CPCA61B5/02416G06V40/161G06V40/168
Inventor 杨学志戚刚吴秀姜欢欢霍亮
Owner HEFEI UNIV OF TECH
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