This app expands from an existing code (https://github.com/matlab-deep-learning/Human-Pose-Estimation-with-Deep-Learning) to extract keypoints using a pre-trained neural network and calculates body CoM location from video files. It does the same by integrating a module provided in this link: MATLAB - OpenPose - wrapper - File Exchange - MATLAB Central (mathworks.com)
There is a module to create videos with the joints and centre of mass locations and another module to scale the coordinates using linear calibration and scale the coordinates using a checkerboad calibration.
To use the OpenPose module, you need to download files provided by Gil: GitHub - gilserrancoli/capture_2Dcycling: This repository contains the MEX function to call OpenPose routine for image processing, and the MATLAB code to analyze the cycling data
引用格式
Rodrigo Bini (2024). Markless Motion Analyser (https://www.mathworks.com/matlabcentral/fileexchange/101784-markless-motion-analyser), MATLAB Central File Exchange. 检索来源 .
MATLAB 版本兼容性
创建方式
R2022a
与 R2019b 及更高版本兼容
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Start Hunting!版本 | 已发布 | 发行说明 | |
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6.0.0 | Addition of module to run OpenPose and to scale coordinates using checkerboard. |
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5.0.0 | Amended image resize. Needs to export images for scaling after passing them through the network to match image resolution. For better results, select the whole screen for cutting the image. |
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4.0.0 | Amending reference to source code. |
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3.0.0 | Corrected image resolution after CNN tracking. |
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2.0.0 | Corrected image resolution in the CNN output. |
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1.0.0 |