3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
PriVi: Towards A General-Purpose Video Model For Primate Behavior In The Wild
Felix B. Mueller, Jan F. Meier, Timo Lueddecke +20
Non-human primates are our closest living relatives, and analyzing their behavior is central to research in cognition, evolution, and conservation. Computer vision could greatly ai…
The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition
Otto Brookes, Maksim Kukushkin, Majid Mirmehdi +17
Computer vision analysis of camera trap video footage is essential for wildlife conservation, as captured behaviours offer some of the earliest indicators of changes in population…
PanAf20K: A Large Video Dataset for Wild Ape Detection and Behaviour Recognition
Otto Brookes, Majid Mirmehdi, Colleen Stephens +24
We present the PanAf20K dataset, the largest and most diverse open-access annotated video dataset of great apes in their natural environment. It comprises more than 7 million frame…
Automatic Individual Identification of Patterned Solitary Species Based on Unlabeled Video Data
Vanessa Suessle, Mimi Arandjelovic, Ammie K. Kalan +17
The manual processing and analysis of videos from camera traps is time-consuming and includes several steps, ranging from the filtering of falsely triggered footage to identifying…