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ORCIDCamTraps 2024: Hagenberg, Austria
- David C. Schedl, Chistoph Praschl, Majid Mirmehdi:
Proceedings of the 4th International Workshop on Camera Traps, AI, and Ecology, Hagenberg, Austria, September 5 - 6, 2024. CEUR Workshop Proceedings 3786, CEUR-WS.org 2024
Session 1: Wildlife and Camera Trapping
- Sead Mustafic, Dominik Dachs, Rainer Prüller, Florian Schöggl, Roland Perko:
Improving Wildlife Management with AI: Species Detection and Classification from Camera Trap Data. 1-14 - Leopold Böss, Stephanie Wohlfahrt, David C. Schedl:
Utilizing Digital Elevation Models for Camera-Trap Distance Estimation (short paper). 15-21 - Wenxin Zhao:
Beyond Humanity: Leveraging Pre-trained Human Video Classification Models for Data-Efficient Multi-species Wildlife Animal Action Recognition (short paper). 22-29 - Miroslav Urosevic, Jovan Mirceta, Bojan Tubic, Dejan Beukovic, Samantha Wisely:
How to Improve the Estimation of Red Deer (Cervus elaphus) Population Density in Serbia (short paper). 30-38
Session 2: Insect Monitoring
- Mohammad Sa'Doun, Daniel Dalton, Vanessa Berger, Gernot Paulus, Karl-Heinrich Anders, Ilja Svetnik, Johanna Schulz, Peter Unglaub:
High Resolution Environmental Monitoring of Pollinator Insects through Macro Camera Trapping and AI (short paper). 39-45 - Chirag Padubidri, Heleen Visserman, Andreas Lanitis, Andreas Kamilaris:
TaxaNet: Harnessing a Hierarchical Loss Function for Insect Classification Using Deep Learning. 46-56
Session 3: Drones
- Oliver Doll, Alexander Loos:
AUTH-Sheep: An Annotated Video Dataset for Detection and Tracking of Sheep in UAV Imagery. 57-70 - Harald Lampesberger, Eckehard Hermann, Markus Zeilinger:
Object Geolocalization Using Consumer-Grade Devices: Algorithms and Applications. 71-83
Session 4: Digital-Nose
- Eva Olivia Huber, Sabrina Kröhnert, Georg Roman Schneider, Claudia Probst:
Digi-Nose Part 1: Characterization of Volatile Organic Compounds (VOCs) Emitted by European Spruce Trees under Stress (short paper). 84-91 - Leo Biljesko, Georg Roman Schneider, Claudia Probst:
Digi-Nose Part 2: Enhancing Accuracy and Efficiency of a Digital Nose System with Sensor Technology for Early Detection of Changes in the Forest. 92-104
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