The scope of this workshop

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:

• Camera trap datasets (images, image sequences, or videos)
• 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 species, individuals, and morphological traits (in images or videos)
• 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 behavior
• Applying AI methods to camera trap data for answering ecological questions
• New ecological questions or important open problems that can’t be solved with current AI approaches
• …

We also invite papers showing preliminary results if the paper contribution is clearly outlined and inspects one of the following topics:

1. A new AI method that shows promising results on camera trap datasets.
2. A new ecological question or an open problem that can barely be addressed with existing AI techniques and inspires the development of advanced algorithms.
3. A new dataset with a description of the specific tasks and challenges,  that require the development of new AI methods.