This ROS package allows to visualize a SkeletonGroup in RViz.
Parameter | Description |
---|---|
seed |
Seed to use to generate each skeleton's color |
lifetime |
Lifetime [s] of the visualized skeletons |
alpha |
Alpha of the visualized skeletons |
input_topic |
Name of the input SkeletonGroup topic |
output_topic |
Name of the output MarkerArray topic |
ros2 launch hiros_skeleton_visualizer default.launch.py
Please cite the following paper:
Guidolin, M., Tagliapietra, L., Menegatti, E., & Reggiani, M. (2023). Hi-ROS: Open-source multi-camera sensor fusion for real-time people tracking. Computer Vision and Image Understanding, 232, 103694.
Bib citation source:
@article{GUIDOLIN2023103694,
title = {Hi-ROS: Open-source multi-camera sensor fusion for real-time people tracking},
journal = {Computer Vision and Image Understanding},
volume = {232},
pages = {103694},
year = {2023},
issn = {1077-3142},
doi = {https://doi.org/10.1016/j.cviu.2023.103694},
url = {https://www.sciencedirect.com/science/article/pii/S1077314223000747},
author = {Mattia Guidolin and Luca Tagliapietra and Emanuele Menegatti and Monica Reggiani},
keywords = {Markerless motion capture, Multi-view body tracking, Real-time, ROS}
}