PyBodyTrack: A python library for multi-algorithm motion quantification and tracking in videos

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-07-24 DOI:10.1016/j.softx.2025.102272

Angel Ruiz-Zafra , Janet Pigueiras-del-Real , Jose Heredia-Jimenez , Syed Taimoor Hussain Shah , Syed Adil Hussain Shah , Lionel C. Gontard

引用次数: 0

Abstract

Human movement analysis, driven by computer vision and pose tracking technologies, is gaining acceptance in healthcare, rehabilitation, sports, and daily activity monitoring. While most approaches focus on qualitative analysis (e.g., pattern recognition), objective motion quantification can provide valuable insights for diagnosis, progress tracking, and performance assessment. This paper introduces PyBodyTrack, a Python library for motion quantification using mathematical methods in real-time and pre-recorded videos. It simplifies video management and integrates with position estimators like MediaPipe, YOLO, and OpenPose. PyBodyTrack enables seamless motion quantification through standardized metrics, facilitating its integration into various applications.

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PyBodyTrack：一个用于视频中多算法运动量化和跟踪的python库

由计算机视觉和姿态跟踪技术驱动的人体运动分析，在医疗保健、康复、体育和日常活动监测中得到越来越多的认可。虽然大多数方法侧重于定性分析（例如，模式识别），但客观运动量化可以为诊断，进度跟踪和绩效评估提供有价值的见解。本文介绍了PyBodyTrack，这是一个Python库，用于在实时和预录制视频中使用数学方法进行运动量化。它简化了视频管理，并集成了位置估计器，如MediaPipe， YOLO和OpenPose。PyBodyTrack通过标准化指标实现无缝运动量化，促进其集成到各种应用程序中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.