Human body bone point tracking method and system in two-dimensional video stream

Abstract

The invention discloses a human body bone point tracking method and system in a two-dimensional video stream. The method comprises: a camera obtains a two-dimensional video stream, a foreground picture is obtained by a foreground extraction module, head point and neck point coordinates are obtained by a face detection module, a system determines whether the head point is in a screen or not, and otherwise, the face detection module carries out operation continuously; a human body is divided into a left part ROI and a right part ROI to carry out detection on other key points, and a shoulder point detection module is used for obtaining left shoulder point and right shoulder point coordinates; a hand point detection module obtains left hand point and right hand point coordinates; an elbow point detection module obtains left elbow point and right elbow point coordinates; and then statistics of credibility of all points is carried out and credible points are displayed.

Description

technical field [0001] The invention relates to the research field of image processing, in particular to a method and system for tracking human skeleton points in two-dimensional video streams. Background technique [0002] Human-computer interaction technology refers to the technology that realizes effective communication between humans and computers in a way that is convenient for people to use through computer input and output devices. Human skeleton point tracking technology is an important technology in the field of human-computer interaction. It can identify the movement of the human body with the help of infrared rays, and can track multiple parts of the human body in real time without using any external equipment for motion capture. It has broad application prospects in computer-computer interaction environment. The human skeleton tracking technology in the prior art is generally based on the framework of Kinect and PC host system. Kinect is mainly responsible for c...

AI Technical Summary

Problems solved by technology

However, this method is sensitive to the surrounding lighting environment, and poor lighting conditions may affect the accuracy of tracking; occluders such as ornaments on human body parts will reduce some local features of the human body, which will affect the tracking of bones, or even fail to track them. The recognition accuracy is not high, which reduces the efficiency and naturalness of human-computer interaction

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