30 citations · 43 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…
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…
SOCRATES: A Stereo Camera Trap for Monitoring of Biodiversity
Timm Haucke, Hjalmar S. Kühl, Volker Steinhage
The development and application of modern technology is an essential basis for the efficient monitoring of species in natural habitats and landscapes to trace the development of ec…
Compensating class imbalance for acoustic chimpanzee detection with convolutional recurrent neural networks
Franz Anders, Ammie K. Kalan, Hjalmar S. Kühl +1
Automatic detection systems are important in passive acoustic monitoring (PAM) systems, as these record large amounts of audio data which are infeasible for humans to evaluate manu…
Overcoming the Distance Estimation Bottleneck in Estimating Animal Abundance with Camera Traps
Timm Haucke, Hjalmar S. Kühl, Jacqueline Hoyer +1
The biodiversity crisis is still accelerating, despite increasing efforts by the international community. Estimating animal abundance is of critical importance to assess, for examp…