3 citations · 4 across the 6 of their papers we have counts for
6 papers
The PanAf-SBR Dataset: Social Behaviour Recognition for Wild Great Apes
Maciej Braszczok, Otto Brookes, Xiaoxuan Ma +6
Behavioural shifts in wild great ape populations, particularly the breakdown of social structures, can serve as an early indicator of population decline. Automating the detection o…
The SA-FARI Dataset: Segment Anything in Footage of Animals for Recognition and Identification
Dante Francisco Wasmuht, Otto Brookes, Maximillian Schall +21
Automated video analysis is critical for wildlife conservation. A foundational task in this domain is multi-animal tracking (MAT), which underpins applications such as individual r…
Towards Application-Specific Evaluation of Vision Models: Case Studies in Ecology and Biology
Alex Hoi Hang Chan, Otto Brookes, Urs Waldmann +11
Computer vision methods have demonstrated considerable potential to streamline ecological and biological workflows, with a growing number of datasets and models becoming available…
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…