Marker-less motion capture system using OpenPose

被引：3

作者：

Feng, B. ^{[1
]}

Powell, D. W. ^{[2
]}

Doblas, A. ^{[1
]}

机构：

[1] Univ Memphis, Dept Elect & Comp Engn, Memphis, TN 38152 USA

[2] Univ Memphis, Coll Heath Sci, Memphis, TN 38152 USA

来源：

PATTERN RECOGNITION AND TRACKING XXXIII | 2022年 / 12101卷

关键词：

motion capture system; markerless; body biometrics;

D O I：

10.1117/12.2619059

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Motion capture systems are widely used to measure athletic performance and as a diagnostic tool in sports medicine. Standard motion capture systems record body movement using: (1) a set of cameras to localize body segments; or (2) specialized suits in which inertial measurement units are directly attached to body segments. The major drawbacks of these systems are limited portability, affordability, and accessibility. This contribution presents a markerless motion capture system using a commercially available sports camera and the OpenPose human pose estimation algorithm. We have validated the proposed markerless system by analyzing the human biometrics during running and jumping movements.

引用

页数：10

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