Estimation method of human posture based on depth image

Abstract

The invention discloses an estimation method of a human posture based on a depth image. The method estimates the human posture according to the depth image of a human body and simulates the human body in the image through a virtual human body model. The depth image includes a plurality of frames. The method includes the steps of building the virtual human body model composed of a skeleton model and a skin model; initializing parameters of the virtual human body model; filtering a current frame of the depth image; performing corresponding point detection on the virtual human body model and the depth image; and building and optimizing an objective function for the current frame of the depth image according to results of the corresponding point detection, and updating a current posture of the virtual human body model through the value of a minimized objective function, wherein the objective function is used for describing the posture difference between the virtual human body model and the depth image. The virtual human body model built in the estimation method is high in degree of freedom and good in skin deformation effect, the convergence rate of posture estimation is high, errors are small, simultaneously, a depth camera is used for obtaining depth images, so that devices of a human motion posture estimation system are simple, and popularization and application are facilitated.

Description

technical field [0001] The invention belongs to the fields of image processing, computer graphics, human kinematics, optimization theory and computer application, and in particular relates to a human body posture method based on a depth image. Background technique [0002] Human pose estimation is the core problem of human motion capture. The so-called human pose estimation refers to matching the abstract hierarchical features with the human body model, so as to obtain the poses of the target at different times. The posture expression of the human body includes two aspects, one is the position and direction of the whole human body in the world coordinates; the other is the angle of the joints of each part of the body and the skin deformation affected by the joint angles. The main application areas of human motion pose estimation can be divided into three directions: monitoring, control, and analysis. [0003] In terms of monitoring applications, some traditional applicatio...

AI Technical Summary

Problems solved by technology

[0010] The technical problem to be solved by the present invention is to propose a human body posture estimation method based on depth images, so as to solve the shortcomings of the existing human body posture estimation that requires multiple cameras, complex equipment, and difficult implementation

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