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A driver attitude detection method based on the coordinates of the center of mass of the skin-colored region of the arm

A technology of centroid coordinates and skin color area, applied in the field of traffic safety, can solve the problems of difficulty in quickly training a classifier model, affecting the accuracy of detection, and large data dimensions, so as to achieve easy establishment of classification models, improve road safety, and feature data dimensions. small effect

Active Publication Date: 2021-03-19
SOUTHEAST UNIV
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Problems solved by technology

However, the currently applied skin color detection method uses full image pixels as features, and the dimension of feature data is too large. The establishment and training of the classifier model is computationally intensive and time-consuming, and it is difficult to quickly train a classifier model with high accuracy, which affects detection accuracy

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  • A driver attitude detection method based on the coordinates of the center of mass of the skin-colored region of the arm
  • A driver attitude detection method based on the coordinates of the center of mass of the skin-colored region of the arm
  • A driver attitude detection method based on the coordinates of the center of mass of the skin-colored region of the arm

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Embodiment Construction

[0032] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0033] This embodiment utilizes the shooting of different driving postures of different drivers in different real driving scenes to establish a driver posture data set, including the driver's correct driving posture, gear position posture and wrong driving posture (single-handed driving, making a phone call). , eating), and then train the driver posture detection model to realize the detection and recognition of the driver's driving posture. Such as figure 1 As shown, the detection implementation includes a training phase and a recognition detection phase, and the training phase includes the following steps:

[0034] Step 1, collecting the image sequence when the driver is driving; according to the driver's posture when driving safely, the area in the image is divided into a head area and a non-head area;

[0035] Determine the location of th...

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Abstract

The invention discloses a driver posture detection method based on the coordinates of the center of mass of the skin color area of ​​the arm. Firstly, the image of the driver is collected while driving, and the coordinates of the center of mass of the driver's hands and / or arms are extracted. Secondly, the extracted coordinates and the driver's driving posture are combined. The category is used as a training sample, and the classifier is trained to obtain the driver's attitude detection model; during detection, the coordinates of the center of mass of the driver's hands and / or arms in the image to be detected are extracted, and used as the input of the driver's attitude detection model for classification, recognition, and detection. The driver's driving attitude. This method can quickly establish and train the driver attitude detection model, so as to realize the rapid detection of the driver attitude.

Description

technical field [0001] The invention belongs to the field of traffic safety, in particular to a driver posture detection method based on the centroid coordinates of the skin color area of ​​both hands and / or arms. Background technique [0002] The World Health Organization's "Global Status Report on Road Safety 2015" pointed out that road traffic accidents are the main factor of global population death. About 3,500 people in the world die from road traffic collisions every day. Improving traffic safety has become one of the top priorities in the current work of all countries. . [0003] Researchers generally believe that the majority of traffic accidents are caused by wrong driving behaviors of drivers, and most of these wrong behaviors are fatigue driving, speeding, and wrong driving posture. Bad driving posture will seriously affect the driver's perception, judgment and ability to respond to emergencies. Therefore, the automatic detection of the driver's posture is parti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/597G06F18/2411
Inventor 何杰吴冠鹤张燕聂平稳汤慧化丽茹赵池航
Owner SOUTHEAST UNIV
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