Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect

12/13/2015
by   Qifei Wang, et al.
0

Microsoft Kinect camera and its skeletal tracking capabilities have been embraced by many researchers and commercial developers in various applications of real-time human movement analysis. In this paper, we evaluate the accuracy of the human kinematic motion data in the first and second generation of the Kinect system, and compare the results with an optical motion capture system. We collected motion data in 12 exercises for 10 different subjects and from three different viewpoints. We report on the accuracy of the joint localization and bone length estimation of Kinect skeletons in comparison to the motion capture. We also analyze the distribution of the joint localization offsets by fitting a mixture of Gaussian and uniform distribution models to determine the outliers in the Kinect motion data. Our analysis shows that overall Kinect 2 has more robust and more accurate tracking of human pose as compared to Kinect 1.

READ FULL TEXT
research
11/22/2017

Cascaded 3D Full-body Pose Regression from Single Depth Image at 100 FPS

There are increasingly real-time live applications in virtual reality, w...
research
03/19/2023

Automatic Joint Parameter Estimation from Magnetic Motion Capture Data

This paper describes a technique for using magnetic motion capture data ...
research
04/03/2023

Motion Capture Benchmark of Real Industrial Tasks and Traditional Crafts for Human Movement Analysis

Human movement analysis is a key area of research in robotics, biomechan...
research
09/17/2019

Model-Based Real-Time Motion Tracking using Dynamical Inverse Kinematics

This paper contributes towards the development of motion tracking algori...
research
12/21/2015

Remote Health Coaching System and Human Motion Data Analysis for Physical Therapy with Microsoft Kinect

This paper summarizes the recent progress we have made for the computer ...
research
04/30/2012

Parametric annealing: a stochastic search method for human pose tracking

Model based methods to marker-free motion capture have a very high compu...
research
04/21/2020

Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings

In this paper we address the problem of motion event detection in athlet...

Please sign up or login with your details

Forgot password? Click here to reset