Using AI for Video Tracking of Free Flying Honey Bees
Document Type
Conference Proceeding
Publication Date
4-2025
Abstract
A common challenge for studying behavior of organisms in naturalistic settings is tracking and counting individuals in videos of a behavior of interest. For humans, this is a labor intensive task, but recent advances in AI hold new promise for effectively automating data analysis from videos. Honey bees have emerged as an important model in understanding a wide variety of behaviors, including navigation, foraging selection, and learning. Video of free flying bees visiting a target often features many individual bees moving at the same time and bees clustering together making manual counting difficult. For this project, video data of an experiment using free-flying honey bees will be analyzed using newly developed AI software tools to show the feasibility of this new technology for enhancing biological research.
Recommended Citation
Aceves, Christian, "Using AI for Video Tracking of Free Flying Honey Bees" (2025). Student Research Symposium 2025. 16.
https://digitalcommons.tamusa.edu/srs_2025/16
Comments
Poster Session 2
5:30-7:00 p.m.
BLH Lobby