3 citations · 8 across the 10 of their papers we have counts for
10 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…
Automating Visual Recognition of Leprosy in Wild Chimpanzees
Katie I. Murray, Anna C. Bowland, Marina Ramon +9
Leprosy (Mycobacterium leprae) has been confirmed in wild western chimpanzees (Pan troglodytes verus) in West Africa, presenting as clear and progressive visual symptoms. Manual re…
Deep in the Jungle: Towards Automating Chimpanzee Population Estimation
Tom Raynes, Otto Brookes, Timm Haucke +6
The estimation of abundance and density in unmarked populations of great apes relies on statistical frameworks that require animal-to-camera distance measurements. In practice, acq…
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…
ChimpVLM: Ethogram-Enhanced Chimpanzee Behaviour Recognition
Otto Brookes, Majid Mirmehdi, Hjalmar Kuhl +1
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 spe…
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…
Triple-stream Deep Metric Learning of Great Ape Behavioural Actions
Otto Brookes, Majid Mirmehdi, Hjalmar Kühl +1
We propose the first metric learning system for the recognition of great ape behavioural actions. Our proposed triple stream embedding architecture works on camera trap videos take…
A Dataset and Application for Facial Recognition of Individual Gorillas in Zoo Environments
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. Training on this dataset, we implement…