Fast 3D skeleton model detecting method based on depth camera

Abstract

The invention relates to the field of the computer visual technology, in particular to a fast 3D skeleton model detecting method based on a depth camera. The fast 3D skeleton model detecting method based on the depth camera comprises the steps that a whole human body is shot by using the depth camera, human face detection is carried out in the image by using an Adaboost algorithm, and thus depth information of the human face is obtained; the body silhouette is extracted based on the depth information of the human face; detection verification is carried out on the detected body silhouette through a 'convex template' verification algorithm; after the verification succeeds, image smoothness processing is carried out on the body silhouette, and the skeleton line of the body silhouette is obtained through a detailing algorithm; characteristic points on the skeleton line of the body silhouette are extracted, the number and the positions of the characteristic points are corrected, and interference points are removed; the corrected characteristic points are verified, and accurate joint points and other characteristics are obtained by adopting a fast joint point extracting algorithm if the verification succeeds. The fast 3D skeleton model detecting method based on the depth camera is high in operating speed, low in computing complexity and adaptive to various complex backgrounds, and each frame of image only needs 5ms.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a fast 3D skeleton model detection method based on a depth camera. Background technique [0002] Human-computer interaction has increasingly become an important part of people's daily life, especially in recent years, with the rapid development of computer technology, the new human-computer interaction technology that conforms to people's communication habits has become extremely active and has achieved many innovations sexual outcomes. [0003] With the rise of the human skeleton recognition method with infrared scanning as the core, operating computers with somatosensory input will increasingly enter people's lives. Robust human skeleton recognition is widely used in games, human-computer interaction, security, remote monitoring, and even There are a wide range of medical applications, and the emergence of depth cameras has made human skeleton model recognition cheaper...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a fast 3D skeletal model detection method based on a depth camera to solve the problem that the existing technology cannot completely display the outline of a person, and cannot generate a 3D skeletal model of the human body in real time to obtain the 3D coordinates of each joint point question

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