Driver fatigue detection method based on blink rule recognition
A technology of fatigue detection and regularity, which is applied in the directions of character and pattern recognition, acquisition/recognition of eyes, image data processing, etc., can solve the problems of lower recognition accuracy and affect algorithm recognition accuracy, and achieve recognition accuracy, recognition accuracy guarantee, high The effect of recognition accuracy
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[0042] Examples:
[0043] First, input the image sequence of the person to be detected, read a frame of image, and use MTCNN face detection to locate the five key points of the face's left eye, right eye, nose, left mouth corner, and right mouth corner.
[0044] Secondly, the image of the eye part is intercepted according to the key point coordinates. Specifically, it is assumed that the coordinates of the left eye are (x1, y1) and the coordinates of the right eye are (x2, y2). The coordinates of the upper left corner of the intercepted left eye part matrix are:
[0045]
[0046] The side length of the square image matrix of the left eye is:
[0047]
[0048] The coordinates of the upper left corner of the intercepted right eye part matrix are:
[0049]
[0050] The side length of the square image matrix of the right eye is:
[0051]
[0052] That is, the square image matrix with the left and right eyes as the center is respectively intercepted, and the side length of the square is hal...
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