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A fatigue detection method based on information fusion for fixed-post personnel

A fatigue detection and fusion algorithm technology, applied in the field of image processing, can solve the problems of high false alarm rate of fatigue detection results, large influence of illumination, and inability to meet actual product requirements.

Active Publication Date: 2019-02-05
NANJING LES ELECTRONICS EQUIP CO LTD
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AI Technical Summary

Problems solved by technology

Although these algorithms are simple to calculate, they are greatly affected by light and have poor robustness.
Therefore, the false alarm rate of the final fatigue detection result is too high, which cannot meet the actual product demand

Method used

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  • A fatigue detection method based on information fusion for fixed-post personnel
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  • A fatigue detection method based on information fusion for fixed-post personnel

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Embodiment Construction

[0057] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0058] The invention discloses a fatigue detection method for personnel in fixed positions based on information fusion, such as figure 1 shown, including the following steps:

[0059] S1: Image preprocessing:

[0060] Image size is one of the important factors affecting image processing speed. By scaling the input image, the efficiency and accuracy of face detection in the video image can be effectively improved; secondly, the image is enhanced by histogram equalization and the image is denoised by Gaussian filtering, which is convenient for future Extract the feature points of the image.

[0061] S2: Face detection:

[0062] Face detection is realized by using HOG feature + cascade classifier. The extraction of HOG features firstly grayscales the input image, and uses the Gamma correction method to normalize the image to reduce the interference ca...

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Abstract

The invention discloses a fatigue detection method for fixed-post personnel based on information fusion, which solves the problems of fatigue feature detection and decision-level information fusion under single-path video. Firstly, the regression tree method is used to calibrate the face of the input image to achieve high-precision face detection. Then, the feature points of eyes and mouths are detected accurately by using cascade convolutional neural network. The PERCLOS parameters, blink frequency and yawn frequency are calculated by analyzing the feature points of multi-frame images of thevideo. Then, the head pose is estimated by ASM-based local localization and facial feature triangles, and the nodding frequency is calculated. Finally, the information fusion algorithm based on roughset theory is used to realize the fatigue detection of fixed-post personnel.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an information fusion-based fatigue detection method for fixed-post personnel. Background technique [0002] With the development of computer and artificial intelligence technology, more and more people are engaged in more mental work, such as IT industry workers, drivers, intelligence personnel and so on. When faced with boring, stressful or heavy responsibility work, it is easy to cause distraction, mental fatigue, reduced work efficiency and even operational errors leading to safety hazards. Fatigue detection technology can effectively warn the fatigue status of this type of operators, so as to improve work efficiency and reduce potential safety hazards. [0003] At present, most fatigue detection algorithms, especially eye fatigue feature detection algorithms, use edge detection or threshold segmentation to calculate eye closure. Although these algorith...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/165G06V40/171G06V40/172G06V20/46G06F18/241G06F18/25
Inventor 朱伟贺超李嘉琦杜瀚宇王寿峰马浩白俊奇苗锋刘文张瑞全王扬红张禹
Owner NANJING LES ELECTRONICS EQUIP CO LTD
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