Dataset for multi-perspective traffic video analysis

Multi-angle video recordings are of significant interest as they provide comprehensive and synchronized data from multiple perspectives. This enables advanced analysis and modeling in environments with complex conditions due to their dynamics or the presence of obstacles, which lead to occlusions or loss of information in single-camera setups. This dataset comprises video footage of vehicular and pedestrian activity from three complementary viewpoints: A vehicle-mounted camera, a road side unit-mounted surveillance camera, and a drone-mounted camera. The dataset can be used in several domains including object, event, and activity recognition and tracking, urban analysis and planning, digital twinning, as well as semantic communication. To demonstrate its usefulness, standardized metrics are employed to provide quantitative evidence of the dataset's quality and reliability in comparison with existing datasets. The multi-modal nature of the footage paves the way for novel research in sensor fusion architectures and multi-scale modeling, critical for next-generation smart urban infrastructures.

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Publication Details

Journal
Scientific Data
Published
2026-02-26
DOI
https://doi.org/10.1038/s41597-026-06907-y
Primary Topic
Video Surveillance and Tracking Methods
Type
article
Field-Weighted Citation Impact
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article

Dataset for multi-perspective traffic video analysis

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Scientific Data
Video Surveillance and Tracking Methods
article

Dataset for multi-perspective traffic video analysis

Theodoros A. Tsiftsis, Luis Bernal-Escobedo, Vasileios Kouvakis, Gonzalo Alarcon-Hellin, Rodrigo Asensio-Garriga, Stylianos E. Trevlakis, Ramon Sanchez-Iborra
article en

Abstract

Multi-angle video recordings are of significant interest as they provide comprehensive and synchronized data from multiple perspectives. This enables advanced analysis and modeling in environments with complex conditions due to their dynamics or the presence of obstacles, which lead to occlusions or loss of information in single-camera setups. This dataset comprises video footage of vehicular and pedestrian activity from three complementary viewpoints: A vehicle-mounted camera, a road side unit-mounted surveillance camera, and a drone-mounted camera. The dataset can be used in several domains including object, event, and activity recognition and tracking, urban analysis and planning, digital twinning, as well as semantic communication. To demonstrate its usefulness, standardized metrics are employed to provide quantitative evidence of the dataset's quality and reliability in comparison with existing datasets. The multi-modal nature of the footage paves the way for novel research in sensor fusion architectures and multi-scale modeling, critical for next-generation smart urban infrastructures.

Scientific Data
University of Thessaly (GR), Hellenic Agency for Local Development and Local Government (GR), Universidad de Murcia (ES), University of Western Macedonia (GR)
Sustainable cities and communities
Openalex Percentile: Top 43%
Video Surveillance and Tracking Methods
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