CamTraps 2024

Table of Contents

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