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Human body detection method and device

A human body detection and human body technology, applied in the field of image recognition, can solve the problems of time-consuming and manpower, and achieve the effect of avoiding manual marking of key point coordinates

Active Publication Date: 2021-12-07
CRSC COMM & INFORMATION GRP CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For this reason, the present application provides a human body detection method and device to solve the problem that the training of the human body detection model needs to use data marked with coordinates of key points, which leads to the problem of consuming a lot of time and manpower

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Embodiment Construction

[0049] The specific implementation manners of the present application will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementations described here are only used to illustrate and explain the present application, and are not intended to limit the present application.

[0050] Action recognition algorithms have always been one of the main scenarios of artificial intelligence applications, such as fall recognition, fight detection, climbing detection, etc. The core of this type of algorithm includes key point (or key bone point) detection and action classification. Among them, the accuracy of action classification depends on the accuracy of keypoint detection. In related technologies, the mainstream key point detection methods include OpenPose, MoveNet, etc., which all belong to the detection method of regressing key point coordinates according to features.

[0051] Among them, OpenPose is an open sourc...

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Abstract

The invention discloses a human body detection method and device, and belongs to the technical field of image recognition. The method comprises the following steps: extracting structural features of a to-be-detected image; determining a human body region in the to-be-detected image according to the structural features; extracting color features of the human body region; and according to the structural features and the color features, determining a human body detection result of the to-be-detected image, the human body detection result comprising a human body frame and key point information of the to-be-detected image. According to the method, structural features and color features are used together for human body detection, so that a human body detection result with relatively high accuracy can be obtained, a human body detection model corresponding to the method can be obtained through training by using an image with a human body frame, an image with a key point coordinate mark is not needed for training, and manual marking of key point coordinates is avoided.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular to a human body detection method and device. Background technique [0002] In recent years, with the rapid development of artificial intelligence and neural network fields, human gesture recognition technology has been widely used in various application scenarios. Human body posture recognition mainly lies in the research and description of human body posture and prediction of human behavior. The recognition process refers to the process of recognizing human body movements according to the changes in the positions of joint points in the human body in a specified image or video. In the existing human detection methods, the human detection model is usually trained using training images pre-marked with key point coordinates, so as to perform human detection according to the trained human detection model. However, it takes a lot of time to label the key point coordi...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/23G06F18/214
Inventor 郭宇鹏王晓毛少将雷庆庆
Owner CRSC COMM & INFORMATION GRP CO LTD
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