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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...
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Main Authors: | , , , |
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Format: | Dataset |
Language: | English |
Online Access: | Get full text |
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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. |
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ISSN: | 2052-4463 2052-4463 |
DOI: | 10.5281/zenodo.13768791 |