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WildLive WildLive: Near Real-time Visual Wildlife Tracking onboard UAVs

Domaine:

geospatialenvironment and energy

Type de record:

dataset
Créateur:
NgoRicWatMei
Éditeur:
Uni
Hôte:avatar
WildLive dataset contains 215,800 bounding boxes and animal segmentation masks of 291 zebra, giraffe, and elephant tracklets, plus 84 point tracks across 22 UAV-acquired 4K video sequences. This totals 19,139 frames recorded on site at the Ol Pejeta Conservancy in Kenya. The data was acquired using DJI Mavic 3 Enterprise and Pro drones plus a custom-built quadcopter for wildlife missions. Overall, the dataset provides animal bounding boxes and SAM2 segmentations, tracklet IDs, as well as manually corrected, sparse LK pixel trajectories. The accompanying publication can be found at: research-information.bris.a… The accompanying project website can be found at: dat-nguyenvn.github.io

Visit

doi.orgdata.bris.ac.uk

Tasks

computer vision

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WildLive: Near Real-time Visual Wildlife Tracking onboard UAVs

WildLive: Near Real-time Visual Wildlife Tracking onboard UAVs

Live tracking of wildlife via high-resolution video processing directly onboard drones is widely une