Fatigue state detection method based on sub-block characteristic matrix algorithm and SVM (support vector machine)
A feature matrix, fatigue state technology, applied in the field of image processing and pattern recognition, can solve problems such as difficult to achieve ideal results, driving interference, poor results, etc., to reduce traffic accidents, high accuracy and reliability, and hit the road Accurate effect of yawn state detection
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[0051] The implementation process of the present invention will be further described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. A fatigue state detection method based on the block feature matrix algorithm and SVM, including the construction of a training sample image library in advance, such as figure 1 As shown, the method includes the following steps:
[0052] 1. Convert the acquired driver video stream into frame images.
[0053] 2. Use the "reference white" algorithm to perform illumination compensation on the frame image of step 1: Since the highlights and shadows of the light source have a greater impact on face detection, first perform illumination compensation to better detect the face area. Arrange the brightness values of all pixels in the entire image from high to low, take the pixels with the top 5% of the brightness values, set their RGB components to 255, and adjust the RGB compo...
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