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BuckTales : A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes

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Datum der Erstveröffentlichung

2024

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Repositorium der Erstveröffentlichung

Max Planck Digital Library

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Core Facility der Universität Konstanz
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Publikationsstatus
Published

Zusammenfassung

The dataset contains UAV footage of wild antelopes (blackbucks) in grassland habitats. It can be mainly used for two tasks: Multi-object tracking (MOT) and Re-Identification (Re-ID). We provide annotations for the position of animals in each frame, allowing us to offer very long videos (up to 3 min) completely annotated while maintaining the identity of each animal in the video. The Re-ID dataset offers two videos, that capture the movement of some animals simultaneously from two different UAVs. The Re-ID task is to find the same individual in two videos taken simultaneously from a slightly different perspective. The relevant paper will be published in the NeurIPS 2024 Dataset and Benchmarking Track. https://nips.cc/virtual/2024/poster/97563 Resolution: 5.4 K MOT: 12 videos ( MOT17 Format) Re-ID: 6 sets (each with a pair of drones) (Custom) Detection: 320 Images (COCO, YOLO)

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
570 Biowissenschaften, Biologie

Schlagwörter

Biology, Computer Science, Systems and Electrical Engineering, UAV, Multiobject Tracking, Re Identification, Antelopes, Computer vision, Detection, Grassland, Drones, Tracking, Aerial, Monitoring, Animal Behavior

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ISO 690NAIK, Hemal, Junran YANG, Dipin DAS, Margaret C. CROFOOT, Akanksha RATHORE, Vivek H. SRIDHAR, 2024. BuckTales : A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes
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    <dc:contributor>Sridhar, Vivek H.</dc:contributor>
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