Kitchen personnel dressing detection method based on HSV color space processing

A technology of color space and detection method, which is applied in the field of computer vision, can solve problems such as difficult to realize and difficult to detect, and achieve the effect of improving detection accuracy, high positioning accuracy, and improving positioning accuracy

Inactive Publication Date: 2020-04-17
SOUTHWEST PETROLEUM UNIV
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AI Technical Summary

Problems solved by technology

But once there is a lack of relevant labeled data sets, the above methods are difficult to implement
At the same time, traditional image processing algorithms are difficult to effectively detect specific targets in complex scene conditions

Method used

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  • Kitchen personnel dressing detection method based on HSV color space processing
  • Kitchen personnel dressing detection method based on HSV color space processing
  • Kitchen personnel dressing detection method based on HSV color space processing

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Embodiment Construction

[0023] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0024] Such as Figure 4 As shown, a method for detecting clothing of kitchen staff based on HSV color space processing includes the following steps:

[0025] Step S1: Use the person detection model to perform person detection on the given kitchen scene image, and output the target person candidate frame. for figure 1 , figure 2 and image 3 , the number 1 is the scene image of the kitchen personnel input into the person detection model, and the number 2 is the detection result of the person detection model. The red rectangle box contains the target detection personnel, and the image area in each candidate box is cut out, as shown in figure 1 , figure 2 Number 3 in the image 3 Numbers 3, 11 in .

[0026] Step S2: Send the image area contained ...

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Abstract

The invention discloses a kitchen personnel dressing detection method based on HSV color space processing, and the method employs an HSV color space method on the basis of a conventional person detection model and a conventional human body 2D posture estimation model, and can achieve the wearing detection of kitchen personnel even if there is no kitchen personnel scene label data. Moreover, the detection for dressing requirements of different colors can be realized only by adjusting HSV color space processing parameters. According to the method, firstly, a character candidate box of a target person is given by using a character detection model, then each candidate box is sent to a human body 2D posture estimation model, human body key points are estimated, and according to the given humanbody key points, a head area and a body trunk area of the target person are positioned in combination with a joint proportion of a human body. An HSV processing method is applied to the two areas, statistics is conducted on the proportion of white pixel points in the obtained binary image area, and finally whether wearing of the person meets the standard or not is judged.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a method for detecting clothing of kitchen staff based on HSV color space processing. Background technique [0002] Nowadays, there is almost a blank in the field of clothing detection of kitchen staff in China; the prior art related to the present invention includes: [0003] Chinese invention patent, the patent name is: a method for detecting the clothing safety of personnel at the operation site of electric power facilities, the patent number is CN201310745896.1; [0004] Chinese invention patent, the patent name is: YOLOv3 target detection based on the safe dress detection method of electric workers, the patent number is CN201811475125.4; [0005] Chinese invention patent, the patent name is: A method for identifying the uniform wearing of construction site personnel based on deep learning, and the patent number is CN201810366469.5. [0006] The implementation metho...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/10G06F18/241
Inventor 常永鑫刘高铭罗喆舒豪
Owner SOUTHWEST PETROLEUM UNIV
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