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CV-Project-1-BUSSIERE-BEAUD
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README.md
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This project has an objective of determine the heartrate of a person by analysing a 1 minute long video taken by a computer camera.
FIRST STEP - Get the video
##FIRST STEP - Get the video
To get the video, we need a normal camera ( like a laptop camera ) and record a ~1min long video of ourselves, in this case : Rémi.
Then, we use the ffmpeg package* to convert this video into a 15fps, 640x480 video.
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SECOND STEP - Get the ROI position
##SECOND STEP - Get the ROI position
The ROI ( Region of interest ) is important here because we only need the average color of the person's head, the surrounding is considerate here as noise.
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THIRD STEP - Calculate the average color
##THIRD STEP - Calculate the average color
Then, we have the coordinates, and we compute the average between each red composents of each pixel inside the square, and we repeat it for blue and green. Then, we have as an output one color/frame.
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POSSIBLE ALTENATIVES
In order to find the best possible ROI, we need some other algorithm than haarcascades. So that's why we used the mediapipe library, wich is a way better algorithm, it's also a pre-trained model but much more complete. We can see here a picture of the results using the mediapipe library, where the ROI is more precise
In order to find the best possible ROI, we need some other algorithm than haarcascades. So that's why we used the mediapipe* library, wich is a way better algorithm, it's also a pre-trained model but much more complete. We can see here a picture of the results using the mediapipe library, where the ROI is more precise.
*pip install mediapipe
more informations here : https://github.com/google/mediapipe