Clothing identification method, system and terminal based on human body key node prediction

A technology of key nodes and identification methods, applied in the field of image processing, can solve problems such as no description or report found, increased complexity of detection methods, poor detection and recognition results, etc., to reduce work intensity, improve intelligence, and reduce complexity Effect

Inactive Publication Date: 2019-08-30
上海媒智科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] At present, the clothing compliance inspection of practitioners on the market needs to design a set of detection methods for the detected head, torso, and face, and then design a set of corresponding clothing and mask recognition methods to determine whether they are wearing appropriate clothing, hats, and masks. Increased the complexity of the entire detection method
In addition, this method requires R&D personnel to select appropriate features for a specific application scenario, resulting in a

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  • Clothing identification method, system and terminal based on human body key node prediction
  • Clothing identification method, system and terminal based on human body key node prediction
  • Clothing identification method, system and terminal based on human body key node prediction

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[0042] The embodiments of the present invention are described in detail below: this embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and specific operation process are given. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can be made, and these all fall within the protection scope of the present invention.

[0043] Reference figure 1 As shown, the embodiment of the present invention proposes a clothing recognition method based on the prediction of human body key nodes, and the method includes the following steps:

[0044] 1. Data collection step: Obtain the original image containing the posture of the human body;

[0045] In this step, a certain number of video clips can be intercepted from the live surveillance video, and frames can be extracted to obtain a picture that meets the re...

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Abstract

The invention provides a clothing identification method based on human body key node prediction. The clothing identification method comprises the steps of data collection, wherein an original image containing a human body posture is acquired; human body posture detection, wherein a human body posture is detected in the original image, and human body posture key node information required in clothing identification is obtained; and clothing identification, wherein a target area containing clothes to be identified is determined according to the human body posture key node information, and the target area is processed by adopting a convolutional neural network to obtain a clothes identification result. Meanwhile, the invention provides a clothing identification device and system based on humanbody key node prediction and a terminal. According to the invention, the intelligence of personnel and clothing compliance supervision is effectively improved, and the working intensity of supervisors is reduced.

Description

Technical field [0001] The present invention relates to the technical field of image processing, in particular to a clothing recognition method, system and terminal based on the prediction of key human body nodes. Background technique [0002] In many industries at present, there are certain requirements for dressing, such as the dressing of employees in the food industry and the dressing of medical staff. By intelligently identifying surveillance video, it can replace supervisors to supervise various industries such as the food industry, and effectively improve the efficiency of safety supervision. [0003] In order to identify the clothing category of a person, the video image is preprocessed by means of mean filtering, light compensation, and normalization, and then the difference method is used to separate the foreground and background, and then methods such as binarization, corrosion, and expansion are used. Morphological difference processing is performed on the image, and t...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06V10/426
CPCG06V40/23G06V20/10G06N3/045G06V10/426
Inventor 李亮亮张娅王延峰
Owner 上海媒智科技有限公司
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