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.
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页数：10
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