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A yawning action detection method for fatigue driving detection

A technology for motion detection and fatigue driving, applied in the field of image processing and pattern recognition, can solve problems such as no discovery, and achieve the effect of ensuring real-time performance, high speed, and small amount of data calculation.

Inactive Publication Date: 2016-09-07
CHONGQING ACADEMY OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the existing technology, no related technology patents for fatigue driving detection through yawning motion recognition have been found, and there are few related researches on yawning motion recognition methods

Method used

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  • A yawning action detection method for fatigue driving detection
  • A yawning action detection method for fatigue driving detection
  • A yawning action detection method for fatigue driving detection

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Experimental program
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Embodiment Construction

[0031] The present invention provides a yawning action detection method for fatigue driving detection. The method can be applied to a computer device that performs fatigue driving detection after video shooting of the driver's cab to realize rapid positioning of the face and mouth area, and Identify the state of the mouth, and quickly realize the detection of yawning actions, thereby providing timely reminder signals for fatigue driving detection.

[0032] By analyzing the specific situation of fatigue detection, it can be found that the driver's head turns frequently during normal driving, indicating that the driver is observing the road and vehicle conditions, and when the driver is in a fatigue driving state, there will be sluggishness, that is, head movement. A case of small magnitude. However, according to the cab environment and the installation position of the imaging device, the imaging device installed on the driving dashboard can clearly capture the driver's face, ey...

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Abstract

The present invention provides a yawning action detection method for fatigue driving detection, which uses the feature area contours corresponding to each facial feature area of ​​the face matching template to respectively match and determine each facial feature area in the face image area in the video image The relative positional relationship ensures the accuracy of mouth positioning. At the same time, the active shape model matching algorithm is used to quickly match and locate the mouth area in the face image area of ​​the video image. The data calculation amount is small and the processing speed is fast. Fast, ensuring real-time mouth positioning; then, by matching and positioning the mouth area in the face image area of ​​the video image to determine the actual shape of the contour of the mouth feature area, and then identify the opening and closing state of the mouth to realize yawning Motion detection, with high detection accuracy and fast speed, provides an effective and real-time solution for yawning motion detection, and can be used to provide more timely prompt signals for fatigue driving detection.

Description

technical field [0001] The invention relates to the technical field of image processing and pattern recognition, in particular to a yawning action detection method for fatigue driving detection. Background technique [0002] Fatigue driving has become one of the main factors of traffic accidents. Fatigue driving detectors have been widely used as a detection and warning tool when drivers experience fatigue driving. Fatigue driving detection technology is the core technology of fatigue driving detector. At present, fatigue driving detection technology mainly includes detection based on human physiological signals (including EEG, ECG, skin potential, etc.), detection of vehicle status signals (speed, acceleration, lateral displacement, etc.), driver operation behavior (direction, accelerator and brake), etc. and other control situations) detection and driver facial image feature detection (closed eyes, blinking, head movement, etc.). Among them, the detection based on human ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08B21/06G06K9/00
CPCG08B21/06G06V20/597
Inventor 胡晓力廖银伟王雪冬唐云建余名韩鹏孙怀义
Owner CHONGQING ACADEMY OF SCI & TECH