9 citations · 16 across the 10 of their papers we have counts for
3 papers · 1 filter
Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge
Jenna Kline, Austin O'Quinn, Tanya Berger-Wolf +1
Platforms that run artificial intelligence (AI) pipelines on edge computing resources are transforming the fields of animal ecology and biodiversity, enabling novel wildlife studie…
Integrating Biological Data into Autonomous Remote Sensing Systems for In Situ Imageomics: A Case Study for Kenyan Animal Behavior Sensing with Unmanned Aerial Vehicles (UAVs)
Jenna M. Kline, Maksim Kholiavchenko, Otto Brookes +3
In situ imageomics leverages machine learning techniques to infer biological traits from images collected in the field, or in situ, to study individuals organisms, groups of wildli…
BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
Isla Duporge, Maksim Kholiavchenko, Roi Harel +9
Using drones to track multiple individuals simultaneously in their natural environment is a powerful approach for better understanding group primate behavior. Previous studies have…