Yawning action detection method for detecting fatigue driving

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, fast processing speed, and ensuring accuracy

Inactive Publication Date: 2015-05-13
CHONGQING ACADEMY OF SCI & TECH
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  • Abstract
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  • Application Information

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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

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  • Yawning action detection method for detecting fatigue driving
  • Yawning action detection method for detecting fatigue driving
  • Yawning action detection method for detecting fatigue driving

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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 invention provides a yawning action detection method for detecting fatigue driving. The yawning action detection method comprises the following steps: relative position relations of facial feature regions in a facial image region in a video image are respectively determined in a matched manner by virtue of feature region contours respectively corresponding to the facial feature regions of a face matching template, so as to well ensure the accuracy of mouth location, quick matching location of the mouth regions in the facial image region in the video image is carried out by adopting an active shape model matching algorithm, the data operation amount is small, the processing speed is high, and the real-time performance of the mouth location is ensured; then, the actual shapes of mouth feature region counters are determined by carrying out matching location on the mouth regions in the facial image region in the video image to recognize the mouth opening or closing state. The yawning action detection method realizes the detection of the yawning action, is high in detection accuracy, fast in speed, provides an effective and high-real-time-performance solution for the detection of the yawning action, and can provide an alerting signal with timeliness for the 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 Applications(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
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