Vol-3786
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|