Dominik Rueß

Dominik Rueß serves as a Researcher at the Institute of Computer Science within the Faculty of Mathematics and Natural Sciences at Humboldt University of Berlin. His interdisciplinary work bridges computer vision and veterinary science, focusing on automated systems for animal behavior analysis and welfare assessment across equine, aquatic, and laboratory species.

His research spans Computer Vision, Veterinary Science, and Animal Behavior, specializing in motion pattern analysis, optical flow techniques, and 3D reconstruction. Key applications include equine welfare (pain estimation in colic cases, dressage performance analysis), aquatic health monitoring (koi ponds), and neuroimaging (zebrafish brain colocalization). He develops fundamental methodologies in camera calibration, stereo vision, and anomaly detection while addressing real-world animal welfare challenges through video-based automated systems.

Analysis of his publication trends reveals a dual trajectory: recent work (2022-2024) intensifies focus on equine applications with optical flow-based pain detection and competition behavior studies, while earlier contributions (2010-2019) established foundational computer vision techniques for heterogeneous camera systems, traffic observation, and biological imaging. This consistent integration of theoretical computer vision with veterinary applications demonstrates a unique cross-disciplinary approach to solving animal health monitoring problems.