Human body key point recognition method and device, and electronic equipment

Abstract

The embodiment of the invention provides a human body key point recognition method and a device, and electronic equipment, and is applied to the field of image processing. The method comprises the steps of obtaining a target video frame of a to-be-identified human body key point in a video; performing human body image extraction processing on the target video frame to obtain a to-be-utilized target human body image; performing key point information identification on the target human body image by using a pre-trained neural network model and taking predetermined human body image information ofa video frame before the target video frame as auxiliary information to obtain key point information of each human body key point in the target human body image; and determining coordinates of each human body key point in the target video frame based on the key point information of each human body key point in the target human body graph. Through the method, the purpose of improving the accuracy of human body key point recognition can be achieved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a human body key point recognition method, device and electronic equipment. Background technique [0002] Human key point recognition is the basis for action recognition, abnormal behavior detection, security, etc. It is mainly used to locate key parts of the human body from a given image, such as the head, neck, shoulders, hands and other parts. [0003] In the prior art, when identifying the key points of the human body in the video frame, the human body map to be used is extracted from the video frame, and the human body map is input into the pre-trained neural network model to obtain the key point information of each key point of the human body , and then, based on the obtained key point information of each human body key point, determine the coordinates of each human body key point in the video frame. Wherein, the key point information of any key point of t...

AI Technical Summary

Problems solved by technology

Then, when using the existing technology to identify the key points of the human body in the video frame, due to the motion blur in the video frame of the key points of the human body to be identified, this will undoubtedly lead to low accuracy in identifying the key points of the human body.

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