activity
20242026
most citedPanAf20K: A Large Video Dataset for Wild Ape Detection and Behaviour Recognition

3 citations · 4 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2026

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…

cs.CV2026

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…

cs.GR2026

The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show

Parsa Esmati, Somjit Nath, Katja Hofmann +3

Modern video diffusion models generate increasingly realistic and temporally coherent videos, motivating their use as candidate world simulators. Yet it remains unclear whether the…

cs.CV2026

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…

cs.CV2025

Visual-textual Dermatoglyphic Animal Biometrics: A First Case Study on Panthera tigris

Wenshuo Li, Majid Mirmehdi, Tilo Burghardt

Biologists have long combined visuals with textual field notes to re-identify (Re-ID) animals. Contemporary AI tools automate this for species with distinctive morphological featur…

cs.CV2025

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…

cs.CV2025

WildLive: Near Real-time Visual Wildlife Tracking onboard UAVs

Nguyen Ngoc Dat, Tom Richardson, Matthew Watson +7

Live tracking of wildlife via high-resolution video processing directly onboard drones is widely unexplored and most existing solutions rely on streaming video to ground stations t…

cs.CV2025★ 1 cited

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…

cs.CV2025

MMLA: Multi-Environment, Multi-Species, Low-Altitude Drone Dataset

Jenna Kline, Samuel Stevens, Guy Maalouf +10

Real-time wildlife detection in drone imagery supports critical ecological and conservation monitoring. However, standard detection models like YOLO often fail to generalize across…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024★ 3 cited

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…