Key point detection method and device, electronic equipment and storage medium

Abstract

The invention provides a key point detection method and apparatus, electronic equipment and a storage medium. The method comprises the steps of acquiring a to-be-detected image; generating an image feature map and a plurality of key point heat maps based on the to-be-detected image, wherein the image feature map is used for representing a relative position relationship between target objects in the to-be-detected image, each key point heat map comprises a type of key points of the to-be-detected image, and different types of key points correspond to different parts of the target object; generating a key point graph model based on the image feature graph and a plurality of key point thermographs, wherein the key point graph model comprises information of different types of key points in theto-be-detected image and information of connecting edges, and each connecting edge is an edge between two different types of key points; and determining each key point belonging to the same target object based on the key point graph model.

Description

technical field [0001] The present disclosure relates to the technical field of image detection, and in particular, to a key point detection method, device, electronic equipment, and storage medium. Background technique [0002] Human body key point detection provides high-level information support for analyzing human behavior in videos, and is the basis for realizing video human action recognition and human-computer interaction. In recent years, human body key point detection methods based on deep neural networks have become a research hotspot because of their simple and easy to obtain input images and efficient and accurate detection results. [0003] Generally, in the human body key point detection method based on deep neural network, key point detection and key point clustering are two independent steps, that is, key point clustering is generally a non-differentiable post-processing operation. However, in this way, the accuracy of the key point clustering process is low...

AI Technical Summary

Problems solved by technology

However, in this way, the accuracy of the key point clustering process is low, that is, clustering errors may occur, and the key points of different people are clustered together as the key points of the same person, resulting in errors in the detection results

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