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