Primate Poses

During this season we have talked with researchers working to utilize machine learning for behavioral observations. In previous episodes, you have heard about the software people like Richard use, but you haven’t heard much from scientists modifying and using these tools for specific research cases. PhD student, Richard Vogg, is working with multi-camera set-ups to track lemurs and macaques solving puzzle boxes in the wild. His work is part of a larger movement to automate behavioral analyses of video data. Listen in and learn why this tech is useful and why multi-camera setups are a good idea for more reliably identifying poses and individual animals.

Guest

Richard Vogg: My name is Richard Vogg. I studied mathematics at TU Kaiserslautern in Germany, where I focused on statistics and obtained a Master’s degree. Afterwards I moved to Valparaíso, Chile for three years and worked as a Senior Business Analyst for an international data analytics company. In late 2020 I moved back to Germany, looking for new interesting data projects. I found one: Since May 2021 I am working at the University of Göttingen with Computer Vision and Deep Learning techniques to analyze monkeys in the wild on videos.