no code implementations • 13 Apr 2024 • Otto Brookes, Majid Mirmehdi, Hjalmar Kuhl, Tilo Burghardt
We show that chimpanzee behaviour understanding from camera traps can be enhanced by providing visual architectures with access to an embedding of text descriptions that detail species behaviours.
no code implementations • 24 Jan 2024 • Otto Brookes, Majid Mirmehdi, Colleen Stephens, Samuel Angedakin, Katherine Corogenes, Dervla Dowd, Paula Dieguez, Thurston C. Hicks, Sorrel Jones, Kevin Lee, Vera Leinert, Juan Lapuente, Maureen S. McCarthy, Amelia Meier, Mizuki Murai, Emmanuelle Normand, Virginie Vergnes, Erin G. Wessling, Roman M. Wittig, Kevin Langergraber, Nuria Maldonado, Xinyu Yang, Klaus Zuberbuhler, Christophe Boesch, Mimi Arandjelovic, Hjalmar Kuhl, Tilo Burghardt
We present the PanAf20K dataset, the largest and most diverse open-access annotated video dataset of great apes in their natural environment.
no code implementations • 6 Jan 2023 • Otto Brookes, Majid Mirmehdi, Hjalmar Kühl, Tilo Burghardt
We propose the first metric learning system for the recognition of great ape behavioural actions.
no code implementations • 8 Dec 2020 • Otto Brookes, Tilo Burghardt
We put forward a video dataset with 5k+ facial bounding box annotations across a troop of 7 western lowland gorillas at Bristol Zoo Gardens.