Our workshop is held as a part of the international workshop series on camera traps and AI analysis for wildlife monitoring, including associated ecological and data collection methods. It regularly runs as live online sessions of expert talks, tutorials, discussions, and follow-up sessions. The workshop brings together three communities: camera trap data producers (e.g., nature parks and reserves), scientific practitioners (e.g., ecologists and conservationists), and AI analysis providers (e.g., computer scientists and engineers). The aim of the workshop is to promote exchange between these different communities, link wildlife data and AI methods, and initiate new interdisciplinary projects amongst attendees.
|Paper submission deadline||23. June 2023|
|Notification of acceptance||31. July 2023|
|Camera-ready version submission||11. August 2023|
|Workshop||07. – 08. September 2023|
For preparing your paper, please use the following template:
(IET-based Latex-Template) | (IET-based Word-Template)
The maximum paper length is 6 pages excluding references. We also accept 4-page extended abstracts in order to allow authors to submit the abstract to a journal. The review process will be single-blind, and there will be at least two independent reviewers evaluating each paper.
Accepted papers will be published on the workshop webpage on the condition of a short presentation by the authors about their work during the workshop. Since it is a hybrid event, an online presentation will be possible.
A selection of best papers will be invited to submit an extended version of the paper to the special issue “Camera traps, AI, and Ecology” of the IET Computer Vision Journal.
This workshop brings together people analyzing camera trap data with artificial intelligence (AI) support. We want to discuss current open challenges and the latest algorithmic solutions to related problems.
Besides computer scientists working on new computer vision and machine learning methods, we also address ecologists using existing AI tools to tackle open problems and answer specific questions within their application domain. Hence, we encourage especially interdisciplinary teams working at the intersection of AI and ecology to submit the results of their recent work.
Paper submission is open for a broad range of topics and application domains, including but not limited to:
We also invite papers showing preliminary results if the paper contribution is clearly outlined and inspects one of the following topics:
|Dimitri Korsch||University of Jena|
|Otto Brookes||University of Bristol|
|Tilo Burghardt||University of Bristol|
|Paul Bodesheim||University of Jena|
|Joachim Denzler||University of Jena|
|Majid Mirmehdi||University of Bristol|
|Marco Heurich||University of Freiburg|
|Hjalmar S. Kühl||iDIV / MPI|