9 citations · 17 across the 13 of their papers we have counts for
4 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…
Adapting the re-ID challenge for static sensors
Avirath Sundaresan, Jason R. Parham, Jonathan Crall +9
In both 2016 and 2018, a census of the highly-endangered Grevy's zebra population was enabled by the Great Grevy's Rally (GGR), a citizen science event that produces population est…
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…