Call for Papers – IET Computer Vision

Special Issue: Camera Traps, AI, and Ecology

Submission deadline: Friday, 15 December 2023

Website: https://ietresearch.onlinelibrary.wiley.com/hub/journal/17519640/homepage/call-for-papers/si-2023-000769

The development and integration of computer vision techniques into research pipelines for biodiversity, species conservation, animal husbandry, taxonomic research, and ecology has recently evolved from a niche field into an ever more important and growing interdisciplinary subject. Alongside drones, satellites, and manual photography, camera traps form the most frequently employed, often most impactful, and also cost-effective visual sensor class in large-scale use today. New cross-disciplinary science directions such as imageomics and animal biometrics are taking shape on the back of this increasing visual sensor capacity bridging from visual measurement to biological interpretation. Maybe most importantly though, ecological applications of AI and specifically computer vision have started to make a positive impact on the real-world monitoring of wildlife and related conservation actions via tools for the detection, tracking, and analysis of animals and their behaviours.

This special issue aims at providing a high-quality publication platform in this interdisciplinary domain, in particular for novel computer vision techniques, significant dataset contributions, pioneering applicational work, and inspiring interdisciplinary ventures that integrate vision engineering with ecological research.

Topics for this call for papers include but not restricted to:

• Camera trap datasets (images, image sequences, or videos) from wildlife camera traps, insect cameras, or other animal monitoring cameras (e.g., in a Zoo or other controlled environments)
• Animal detection (in images or videos)
• Identification of individuals and morphological traits (in images or videos)
• Species and fine-grained recognition approaches for animals (in images or videos)
• Animal pose estimation (in images or videos)
• Tracking of animal movement (in images or videos)
• Video recognition of animal behaviour
• Applying AI methods to camera trap data for answering ecological questions including new ecological questions or important open problems that can’t be solved with current AI approaches.

Guest Editors:

Tilo Burghardt
University of Bristol
United Kingdom

Majid Mirmehdi
University of Bristol
United Kingdom

Paul Bodesheim
University of Jena
Germany

Joachim Denzler
University of Jena
Germany

Dimitri Korsch
University of Jena
Germany

Otto Brookes
University of Bristol
United Kingdom

Marco Heurich
University of Freiburg
Germany

Hjalmar S. Kühl
Max Planck Institute
Germany