Human Pose Estimation Method Based on Cascade Error Correction Mechanism

Abstract

The invention discloses a human body posture tracking method based on a cascade error correction mechanism, which mainly solves the problem of inaccurate wrist positioning in human body posture estimation in the prior art. It includes: 1) using the bidirectional tree structure model to locate the joints of the body other than the wrist; 2) using optical flow and particle filter to preliminarily predict the position of the wrist; 3) judging whether the preliminary detection result is reliable through the optical flow response, if not reliable , then use the bidirectional graph structure model to locate the position of the wrist; 4) use the skin color model to judge whether the positioning result of the bidirectional graph structure model is reliable; 5) if the positioning result of the bidirectional tree structure model is incorrect, then use the previous frame’s wrist_position estimates the wrist position for the current frame. Experimental results show that the present invention can locate the position of the wrist more precisely, thereby achieving a better human body pose estimation effect, and can be used for recognition of human body poses in video surveillance, human-computer interaction, digital entertainment, medical imaging and sports scenes.

Description

technical field [0001] The invention belongs to the technical field of image recognition, in particular to a method for estimating human body posture, which can be used to recognize human body posture in video surveillance, human-computer interaction, digital entertainment, medical imaging and sports scenes. Background technique [0002] Human body pose estimation refers to the process of detecting the position of each part of the human body in a 2D or 3D static image or video, and estimating the human body pose according to the connection relationship of each part of the human body. Human pose estimation is an important problem in the field of computer vision research, and it has broad application prospects in many practical applications, such as video surveillance, human-computer interaction, digital entertainment, medical imaging and sports scenes. But at the same time, accurate estimation of human pose is also a very challenging problem. In real life, changes in human b...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problem of inaccurate wrist positioning in human body posture estimation, and propose a human body posture estimation method based on a cascaded error correction mechanism by using the unique time information of video image sequences and an adaptive skin color model, so as to improve The correct detection rate of the wrist, to obtain a more accurate human body pose estimation effect

Images