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Sitting posture recognition shielding judgment method based on TOF camera and intelligent table lamp

A TOF camera and smart desk lamp technology, applied in the field of image processing, can solve problems such as affecting the results of sitting posture recognition and changing human posture, and achieve the effect of improving anti-interference ability and improving recognition accuracy.

Active Publication Date: 2022-07-22
珠海视熙科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when performing sitting posture recognition based on depth images, due to the changeable human body posture, or the interference of lens occlusion caused by clothes and other factors, it is easy to cause misjudgment and affect the sitting posture recognition results.

Method used

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  • Sitting posture recognition shielding judgment method based on TOF camera and intelligent table lamp
  • Sitting posture recognition shielding judgment method based on TOF camera and intelligent table lamp
  • Sitting posture recognition shielding judgment method based on TOF camera and intelligent table lamp

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Embodiment Construction

[0081] The present application provides a sitting posture recognition occlusion determination method based on a TOF camera and an intelligent desk lamp, which are used to determine whether there is occlusion in a depth image of a human sitting posture, so as to eliminate interference caused by occlusion during the sitting posture recognition process.

[0082] It should be noted that the method for determining the occlusion of sitting posture recognition based on the TOF camera provided in this application can be applied to a terminal or a server. For example, the terminal can be a smart desk lamp, a depth camera, a mobile phone or a computer, a tablet computer, and a smart TV. , smart watch, portable computer terminal may also be a fixed terminal such as a desktop computer. For the convenience of description, in this application, a terminal is used as an execution subject for illustration.

[0083] see figure 1 , figure 1 An embodiment of a method for determining occlusion b...

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Abstract

The invention discloses a TOF camera-based sitting posture recognition shielding judgment method and an intelligent table lamp, which are used for judging whether shielding exists in a depth image of a shot human body sitting posture so as to eliminate interference caused by shielding in a sitting posture recognition process. The method comprises the steps of obtaining a depth image of a human body sitting posture; extracting a target depth interval image from the depth image, wherein the target depth interval image is a depth interval image where a human body is located; determining a main body area in the target depth interval image; performing effective point dispersion degree calculation on the main body region through a target formula to obtain a first calculation result; judging whether the first calculation result is greater than a first threshold value or not; and if the first calculation result is greater than a first threshold value, determining that shielding exists.

Description

technical field [0001] The present application relates to the field of image processing, and in particular, to a method for determining occlusion and occlusion based on a TOF camera and a smart desk lamp. Background technique [0002] Different sitting postures can express different states of users. Through sitting posture recognition technology, people’s sitting posture types and sitting posture states can be identified and fed back to users to realize sitting posture intervention. [0003] There are many technologies for sitting posture recognition. In the past, it was mainly realized by sensors. The method realized by sensors has the advantage of high accuracy, but the process of installing sensors is troublesome, expensive, and easy to make users feel uncomfortable. With the development of science and technology, more recent It is mainly realized by the method of machine learning, but the method of machine learning requires a lot of manpower and material resources, and t...

Claims

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Application Information

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IPC IPC(8): G06V40/10G06V40/20G06V10/44G06V10/26G06V10/30F21V33/00
CPCF21V33/0052Y02B20/40
Inventor 潘颢文张勇赵荣杰
Owner 珠海视熙科技有限公司
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