Loading…

Spatiotemporal Trajectories of Pedestrian Mobility at the Train Station: evidence of 24 million trajectories - custom code

"This code was used to transform raw anonymized trajectories detected from camera systems into a local coordinate system and to remove camera lens distortion. It is a basic script for each camera, '01_xxx_transformation_matrix.py', which generates calibration data for the transformati...

Full description

Saved in:
Bibliographic Details
Main Authors: Uhlík, Ondřej, Apeltauer, Tomas, Apeltauer, Jiří, Juřík, Vojtěch
Format: Dataset
Language:English
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:"This code was used to transform raw anonymized trajectories detected from camera systems into a local coordinate system and to remove camera lens distortion. It is a basic script for each camera, '01_xxx_transformation_matrix.py', which generates calibration data for the transformation and distortion removal, followed by the script '02_joining.py', where data is filtered by seconds and aggregated by individual days. The final script is '03_preprocessing.py', where the actual transformations take place, and the final trajectories are saved, which are then published.
ISSN:2052-4463
2052-4463
DOI:10.5281/zenodo.13768791