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Method and device for detecting fatigue state based on video image

A technology of video image and fatigue state, applied in the field of image processing, can solve problems such as hidden dangers of safety and decreased attention of security personnel, and achieve the effect of automatic identification

Inactive Publication Date: 2013-04-17
杜鹢 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Another example, in the field of security, fatigue reduces the attention of security personnel, thus burying various security risks

Method used

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  • Method and device for detecting fatigue state based on video image
  • Method and device for detecting fatigue state based on video image
  • Method and device for detecting fatigue state based on video image

Examples

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specific example 1

[0116] The application scenario of this example is for security staff. The video acquisition unit includes multiple cameras to collect video images of security staff from different angles, and send the video image with the best angle to the face detection unit and eye state analysis. The unit and the fatigue state analysis unit are processed accordingly. The face detection unit processes the video images collected by the video acquisition unit in real time to obtain user face images. Use the eye preliminary positioning subunit and the eye precise positioning subunit of the eye state analysis unit to analyze the obtained face image, locate the eye position, and extract the eye image, such as Figure 7 As shown, it is a schematic diagram when the system judges that the user's current status is normal. The large frame is the result of face detection, and the small frame is the result of eye positioning. Then, the eye state recognition subunit of the eye state analysis unit obtai...

specific example 2

[0118] The application scenario of this example is aimed at car drivers. The video acquisition unit includes multiple cameras installed in the car to collect video images of car drivers from different angles, and transmit the video images with the best angles to the face detection unit, The eye state analysis unit and the fatigue state analysis unit perform corresponding processing. The face detection unit processes the video images collected by the video acquisition unit in real time to obtain the driver's face image. The eye preliminary positioning subunit and the eye precise positioning subunit of the eye state analysis unit are used to analyze the obtained face image, locate the eye position, and extract the eye image. Then, use the eye state identification subunit of the eye state analysis unit to calculate the degree of eye closure. When the eyelid covers 80% of the pupil area, it is determined as the closed eye state; otherwise, it is determined as the open eye state. ...

specific example 3

[0120] The application scenario of this example is for the train driver. The video acquisition unit collects the video image of the train driver in real time and transmits it to the face detection unit, eye state analysis unit and fatigue state analysis unit for corresponding processing. The face detection unit detects the face of the video image collected by the video acquisition unit in real time. If the statistical result of the facial image is less than the preset facial image statistical threshold within the preset facial image statistical time, it is determined that the train driver has left his post. .

[0121] After determining that the user is in a fatigued state or when the user is off-duty, the present invention can promptly provide on-site voice reminders and alarms to the user. In different application environments, it can also provide remote video monitoring functions, as well as remote voice intercom, remote control etc.

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Abstract

The invention discloses a method and a device for detecting a fatigue state based on a video image. The method comprises the following steps of: carrying out face detection on a video frame image of a user collected in real time, so as to acquire a face image of the user; analyzing the acquired face image, and positioning the position of eyes of the user, so as to obtain an eye image; analyzing the eye image, and determining whether the eyes of the user are opened or closed; and counting the eye states of the user within the counting time of the preset eye state, and determining whether the user is fatigue according to the counting result. By the method, the state of the user can be automatically identified, and voice prompt or alarming can be performed after the fatigue state of the user is detected.

Description

technical field [0001] The invention relates to image processing technology, in particular to a video image-based fatigue state detection method and related devices. Background technique [0002] Fatigue is a normal physiological reaction of the human body. As long as the rest is properly adjusted, it is not seriously harmful. However, when the human body is fatigued, objectively, under the same conditions, it will lose the ability to complete the normal activities or work it was engaged in. Therefore, for personnel in certain positions, fatigue can be said to be an invisible killer, and safety accidents caused by fatigue emerge in endlessly every year, posing a huge threat to the safety of the country and people's lives and properties. For example, in the field of road or rail traffic, fatigue driving is the main cause of traffic accidents. Another example is that in the field of security, fatigue reduces the attention of security personnel, thereby burying various securit...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 杜鹢李秋华
Owner 杜鹢
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