collaborators

7 papers

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

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…