About the Dataset
Harpy Data is a Vehicle Dataset with Detector and Tracking monitoring. Using multiple algorithms (eg. kalman filter) Harpy Data is able to achieve vehicle tracking even when an occlusion occurs. For the detection part we are using Darknet Yolo trained with our own images dataset of vehicles. The velocity calculation algorithm provides very accurate measurements when compared to GPS and odometer data, as demonstrated below. You can scroll down to check out the files and information about the Harpy Dataset.
**New data are also available, Traffic Light Status, which are exported by analyzing extracted data from footages using our Harpy Data system. More information can be found in the TLS DATASET page.**
What's included in the Harpy data Example Dataset

Raw Videos
The videos we have taken without any detection process. (can be downloaded only with request)

Detection Videos
The videos that have been processed in order to detect cars, their velocity calculations and their count numbers.

Detection Files
All the detection files for each video. The files include velocities, positions (x,y), direction and frame timestamps for each vehicle displayed in the videos.
Updated Demo Version
This is a preview demo of the project’s updated version with improved algorithms for accuracy as well as performance. As you can see roundabouts are also included in the dataset.
More information and results coming soon!!
Paper and citation
@inproceedings{makrigiorgis2020extracting, title={Extracting the fundamental diagram from aerial footage}, author={Makrigiorgis, Rafael and Kolios, Panayiotis and Timotheou, Stelios and Theocharides, Theocharis and Panayiotou, Christos G}, booktitle={2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)}, pages={1--5}, year={2020}, organization={IEEE} }
Request access to Raw videos
our TEAM

Rafael Makrigiorgis
Software Engineer

Petros Petrides
Research Engineer

Panayiotis Kolios
Research Assistant Professor

Stelios Timotheou
Assistant Professor

Christos Panayiotou
Professor

Theocharis Theocharides
Associate Professor
contact
KIOS Center of Excellence
University of Cyprus,
P.O.Box 20537, CY-1678 Nicosia,
Cyprus
Tel: +357 22 893450/893451
Email: [email protected]