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MBPR: Multi_Body_Pose_Reconstruction

English | 简体中文

Paper：《Real-Time Reconstruction of Multi-Body Pedestrian Pre-Impact Posture in Collision Accidents From Monocular Images》

1. Shoulders Of Giants：

[1] SMPL：一种参数化人体模型

[2] SPIN：三维人体重建方法

[3] human_model_viewer：SMPL参数的调整可视化

[4] SMPL_Tools：这是在human_model_viewer的基础上，我们开发的一款针对SMPL的标注工具

2. Pipline

3. Tutorial

  1. 下载：git clone https://github.com/wmj142326/MBPR

  2. 按照SPIN/README.md中的教程配置环境；

  3. 运行estimation.py, 在

    python estimation.py --checkpoint=data/model_checkpoint.pt --img_file=input_img/01 --outfile=out/01

    input_img/01是一个存放输入图片的文件夹 out/01是一个存放输出结果的文件夹，包括：pic_outfile, pic_outfile_shape, pkl_outfile

  4. 复制文件：

    madymo/images == input_img/01;

    madymo/pkl_file == out/pkl_outfile;

  5. 运行ped_pkl2xml.py：

    python ped_pkl2xml.py

  6. 输出结果保存在文件夹：madymo/xml_file/

  7. 可视化：将madymo/xml_file/*.xml导入MADYMO软件查看。

4. Appendix

在madymo/mesh/文件夹中，我们提供了SMPL的.obj结果,可通过SMPL_Tools中的方法获得，需要将.pkl文件转换为.ini文件：

python ped_pkl2ini.py

5. Citation

@ARTICLE{10746249,
author={Wang, MeiJun and Meng, Yu and Xu, Yan and Li, Quan and Nie, Bingbing},
journal={IEEE Transactions on Intelligent Transportation Systems}, 
title={Real-Time Reconstruction of Multi-Body Pedestrian Pre-Impact Posture in Collision Accidents From Monocular Images}, 
year={2025},
volume={26},
number={1},
pages={457-471},
keywords={Pedestrians;Accidents;Injuries;Image reconstruction;Videos;Three-dimensional displays;Pose estimation;Computational modeling;Shape;Real-time systems;Pre-impact posture;pose reconstruction;multi-body pedestrian model;SMPL model;reconstruction of pedestrian-vehicle collision},
doi={10.1109/TITS.2024.3486214}}