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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

Active Publication Date: 2018-07-31
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problems in the above-mentioned driver gesture recognition technology, such as manual extraction of image features is time-consuming and inefficient, shallow learning methods cannot learn image multi-level structural features, and the characteristics of virtual data are quite different from real application scenarios. Driver attitude recognition method based on depth image and virtual data

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  • Driver posture recognition method based on depth images and virtual data
  • Driver posture recognition method based on depth images and virtual data
  • Driver posture recognition method based on depth images and virtual data

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Embodiment Construction

[0059] The present invention will be further described below in conjunction with accompanying drawing.

[0060] The driver's posture recognition method of the present invention includes three main processes of driver's joint point detection, construction of a virtual driver's head posture data set, and driver's head posture analysis.

[0061] The data source of the present invention is the driver's depth image obtained from the 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 center of the camera projection, through which the shape information and three-dimensional position information of the driver can be obtained. 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 refers to the detection of the position of the driver’s joint points in the image. The driver’s joint points...

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Abstract

The invention discloses a driver posture recognition method based on depth images and virtual data. The method includes driver joint detection: the driver depth image and the joint label are used as the input of a deep learning framework Caffe, a deep convolution neural network model is trained, and the joint position of a driver in the image is detected through a deep learning model; virtual driver head posture data set establishment: a driver model is constructed through the modeling function of the three-dimensional modeling software, the head movement of the driver is set by utilizing theanimation function, the driver images is rendered in batches by utilizing the rendering function, the head segmentation processing is carried out on the driver images, and the virtual driver head posture data set is constructed; driver head posture analysis: a deep migration learning model is trained by means of a migration learning method according to the virtual driver head posture data obtainedby the virtual driver head posture data set construction process, and the driver head posture in the target domain image is estimated and the facial feature point position is detected.

Description

technical field [0001] The present invention relates to the fields of computer vision and vehicle assisted driving, and more specifically, relates to a driver gesture recognition method based on depth images and virtual data. Background technique [0002] Driver gesture recognition is an important research topic in the field of vehicle assisted driving, and it is the application of human gesture recognition technology in real scenes. Image-based driver pose recognition refers to detecting the driver's upper body joints, estimating the head pose, and detecting facial feature points in a given driver image. The computer can analyze the driver's posture, and finally realize the warning of the driver's dangerous behavior, and achieve the purpose of reminding the driver. [0003] The input of image-based driver gesture recognition is usually a visible light image. Extract the features of various parts of the human body from the image, such as color, edge, contour, shape, etc., ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06T15/00G06T13/40G06N3/04G06N3/08
CPCG06T13/40G06T15/005G06N3/08G06V20/597G06N3/045G06F18/2413
Inventor 刘柯柯刘亚洲孙权森
Owner NANJING UNIV OF SCI & TECH
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