Today's ecologists have more data than ever before to help monitor and understand the world's biodiversity. Yet researchers are still working to get more detailed information to better combat ...

Researchers developed a computer vision framework for posture estimation and identity tracking which they can use in indoor environments as well as in the wild. They have thus taken an important step ...

Conventional markerless tracking methods struggle with body part misestimations or missing estimates in crowded spaces. In vmTracking, markerless multi-animal tracking is performed on a video ...

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

Animal tracking methods encompass a range of technologies and analytical approaches used to monitor the spatial and temporal movements of individual animals or populations. Techniques include ...

A new visual AI system can automatically find, identify, and follow individual animals in video footage across nearly 100 ...

Despite these expectations, unsupervised learning remains underexplored in multi-animal tracking, particularly under challenging conditions of complex backgrounds, low image contrast and frequent ...