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Real-time detection method of sitting posture based on dual cameras

A real-time detection, dual-camera technology, used in image data processing, 3D modeling, instruments, etc., can solve the problems of human body radiation, inability to measure the angle of the head deviating from the central axis of the body, and sensors being easily blocked, etc. The effect of strong performance, strong anti-interference ability and simple equipment

Active Publication Date: 2018-09-11
北京中自投资管理有限公司
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Problems solved by technology

However, this solution has inherent disadvantages, such as: radiation to the human body, inability to measure the angle of the head away from the central axis of the body, and the sensor is easily blocked

Method used

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  • Real-time detection method of sitting posture based on dual cameras
  • Real-time detection method of sitting posture based on dual cameras

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Embodiment Construction

[0030] The method for real-time detection of sitting posture based on dual cameras of the present invention will be described in detail below in combination with embodiments and drawings.

[0031] Such as figure 2 As shown, the real-time detection method for sitting posture based on dual cameras of the present invention is to process the images collected by a binocular camera composed of two cameras of the same type installed on the desktop, and the two cameras are horizontally fixed by a bracket On the desktop, the distance between the two cameras is 8.5 to 11.5 cm. Adjust the elevation angle of the camera to an angle that can place the sitting posture of the human body in the middle of the image, even if the human body part in the image is as centered as possible. Described processing comprises the following steps:

[0032] 1) Calibrate the internal and external parameters of the camera;

[0033] The camera calibration described above starts with figure 1 shown, includin...

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Abstract

The invention discloses a sitting posture real-time detection method based on double cameras. The method comprises the following steps of calibrating internal and external parameters of cameras; acquiring a human body sitting posture stereo image through a binocular camera; performing stereo matching for the acquired stereo image, keeping a point cloud in a set range as a potential human body part point cloud; projecting the segmented human body part point cloud in the acquired image to perform image-based human face and human eye detection; judging whether the human faces are detected; judging whether an image rotation angle is greater than a set threshold value; judging whether the human eyes are detected; calling rotation transformation R2 of a calibrated camera coordinate system relative to a vertical plane, and calculating out vertical distance between the human eyes and the cameras through a three-dimensional point cloud nearby the human eyes; adding the set distance between the binocular camera and a desk surface and the distance between the human eyes and the cameras together to obtain the vertical distance between the human eyes and the desk surface; and judging whether the vertical distance between the human eyes and the desk surface is greater than a set vertical distance threshold value. The sitting posture real-time detection method based on double cameras automatically detects human body sitting posture in real time and judges whether the sitting posture is correct or not.

Description

technical field [0001] The invention relates to a method for real-time detection of sitting posture. In particular, it relates to a dual-camera-based real-time detection method for sitting posture that uses technologies such as binocular stereo matching, three-dimensional reconstruction, and face recognition to automatically determine whether the sitting posture of a human body is correct. Background technique [0002] The myopia rate of Chinese teenagers has always been at the forefront of the world. According to the survey of the Ministry of Education and the Ministry of Health, there are currently more than 400 million myopia patients in my country, and teenagers have become the "hardest hit area": ​​the myopia rate of primary school students is over 30%, and that of middle school students is over 30%. 70%, college students reach 90%. "Incorrect writing posture and prolonged use of eyes" is an important cause of myopia. At the same time, incorrect writing posture can als...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/00G06T19/00G06K9/00
Inventor 史利民李峰
Owner 北京中自投资管理有限公司
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