Development of a Realistic Crowd Simulation Environment for Fine-Grained Validation of People Tracking Methods

Paweł Foszner, Agnieszka Szczęsna, Luca Ciampi, Nicola Messina, Adam Cygan, Bartosz Bizoń, Michał Cogiel, Dominik Golba, Elżbieta Macioszek, Michał Staniszewski

2023

Abstract

Generally, crowd datasets can be collected or generated from real or synthetic sources. Real data is generated by using infrastructure-based sensors (such as static cameras or other sensors). The use of simulation tools can significantly reduce the time required to generate scenario-specific crowd datasets, facilitate data-driven research, and next build functional machine learning models. The main goal of this work was to develop an extension of crowd simulation (named CrowdSim2) and prove its usability in the application of people-tracking algorithms. The simulator is developed using the very popular Unity 3D engine with particular emphasis on the aspects of realism in the environment, weather conditions, traffic, and the movement and models of individual agents. Finally, three methods of tracking were used to validate generated dataset: IOU-Tracker, Deep-Sort, and Deep-TAMA.

Paper Citation

in Harvard Style

Foszner P., Szczęsna A., Ciampi L., Messina N., Cygan A., Bizoń B., Cogiel M., Golba D., Macioszek E. and Staniszewski M. (2023). Development of a Realistic Crowd Simulation Environment for Fine-Grained Validation of People Tracking Methods. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP; ISBN 978-989-758-634-7, SciTePress, pages 222-229. DOI: 10.5220/0011691500003417

in Bibtex Style

@conference{grapp23,
author={Paweł Foszner and Agnieszka Szczęsna and Luca Ciampi and Nicola Messina and Adam Cygan and Bartosz Bizoń and Michał Cogiel and Dominik Golba and Elżbieta Macioszek and Michał Staniszewski},
title={Development of a Realistic Crowd Simulation Environment for Fine-Grained Validation of People Tracking Methods},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP},
year={2023},
pages={222-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011691500003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP
TI - Development of a Realistic Crowd Simulation Environment for Fine-Grained Validation of People Tracking Methods
SN - 978-989-758-634-7
AU - Foszner P.
AU - Szczęsna A.
AU - Ciampi L.
AU - Messina N.
AU - Cygan A.
AU - Bizoń B.
AU - Cogiel M.
AU - Golba D.
AU - Macioszek E.
AU - Staniszewski M.
PY - 2023
SP - 222
EP - 229
DO - 10.5220/0011691500003417
PB - SciTePress