Vol-3785⫷ Vol-3786 ⫸Vol-3787
urn:nbn:de:0074-3786-8

Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International ( CC BY 4.0 ) .

CamTraps 2024
Workshop on Camera Traps, AI, and Ecology 2024

Proceedings of the 4th International Workshop on Camera Traps, AI, and Ecology

Hagenberg, Austria, September 5 - 6, 2024 .

Edited by

David C. Schedl *
Christoph Praschl *
Majid Mirmehdi **

* University of Applied Science Upper Austria , Faculty of Computer Science, Communication and Media, Hagenberg, Austria
** University of Bristol , School of Computer Science, Bristol, UK

Table of Contents

Preface
Summary: There were 12 papers submitted for peer-review to this workshop. Out of these, 10 papers were accepted for this volume, 5 as regular papers and 5 as short papers.

Session 1: Wildlife and Camera Trapping

Improving Wildlife Management with AI: Species Detection and Classification from Camera Trap Data 1-14
Sead Mustafic , Dominik Dachs , Rainer Prüller , Florian Schöggl , Roland Perko
Utilizing Digital Elevation Models for Camera-Trap Distance Estimation (short paper) 15-21
Leopold Böss , Stephanie Wohlfahrt , David C. Schedl
Beyond Humanity: Leveraging Pre-trained Human Video Classification Models for Data-Efficient Multi-species Wildlife Animal Action Recognition (short paper) 22-29
Wenxin Zhao
How to Improve the Estimation of Red Deer (Cervus elaphus) Population Density in Serbia (short paper) 30-38
Miroslav Urosevic , Jovan Mirceta , Bojan Tubic , Dejan Beukovic , Samantha Wisely

Session 2: Insect Monitoring

High Resolution Environmental Monitoring of Pollinator Insects through Macro Camera Trapping and AI (short paper) 39-45
Mohammad Sa'Doun , Daniel Dalton , Vanessa Berger , Gernot Paulus , Anders Karl-Heinrich , Ilja Svetnik , Johanna Schulz , Peter Unglaub
TaxaNet: Harnessing a Hierarchical Loss Function for Insect Classification Using Deep Learning 46-56
Chirag Padubidri , Heleen Visserman , Andreas Lanitis , Andreas Kamilaris

Session 3: Drones

AUTH-Sheep: An Annotated Video Dataset for Detection and Tracking of Sheep in UAV Imagery 57-70
Oliver Doll , Alexander Loos
Object Geolocalization Using Consumer-Grade Devices: Algorithms and Applications 71-83
Harald Lampesberger , Eckehard Hermann , Markus Zeilinger

Session 4: Digital-Nose

Digi-Nose Part 1: Characterization of Volatile Organic Compounds (VOCs) Emitted by European Spruce Trees under Stress (short paper) 84-91
Eva Olivia Huber , Sabrina Kröhnert , 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
Leo Biljesko , Georg Roman Schneider , Claudia Probst

2024-09-17: submitted by David Schedl, metadata incl. bibliographic data published under Creative Commons CC0
2024-10-10 : published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) | valid HTML5 |