Driver road rage real-time identification and warning method based on facial features
A face feature and driver technology, applied in the field of real-time recognition and early warning of driver's road rage, can solve the problems of difficult real-time performance, unsuitable for driver detection and early warning, and low recognition accuracy
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[0049] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0050] figure 1 Provided the overall process of the present invention, use Kinect to track driver's face from real-time video data, obtain the RGB image and depth (Depth) image of driver's face, then, these two kinds of image information are carried out gray scale, Image size normalization and mean filtering to remove noise and other preprocessing operations are respectively input to the trained CNN (Convolutional Neural Network) model (such as figure 1As shown in , the CNN structure uses two layers) for feature extraction, and the extracted features are input into the Softmax classifier for driver emotion recognition, and then the classification results of 30 consecutive frames of images are fused. The fusion method is to obtain RGB and Depth The recognition results of the channels are accumulated separately, and then multiplied by the preset...
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