Driver posture recognition method based on depth images and virtual data
A deep image and recognition method technology, which is applied in image data processing, 3D image processing, character and pattern recognition, etc., can solve the problems of inability to learn image multi-level structure features, manual extraction of image features is time-consuming and inefficient, virtual data characteristics and Problems such as large differences in real application scenarios can achieve the effects of improving detection accuracy, reducing differences, reducing time-consuming and inefficient
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[0059] The present invention will be further described below in conjunction with the drawings.
[0060] The driver posture recognition method of the present invention includes three main processes: driver joint point detection, virtual driver head posture data set construction, and driver head posture analysis.
[0061] The data source of the present invention is a driver's depth image obtained from a depth image acquisition device, such as figure 1 Shown. The value of each pixel on the depth image represents the distance from the object point to the projection center of the camera, and the shape information and three-dimensional position information of the driver can be obtained through this value. The depth image can be obtained by a binocular vision device or a structured light projection device.
[0062] The driver's joint point detection process is to detect the position of the driver's joint points in the image. The driver's joint points refer to the driver's head, neck, waist...
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