@article{M906A2817,
title = "Development of an All-Day Cattle Estrus Monitoring System Using IR and RGB Camera-Based Behavior Detection Algorithm",
journal = "The Journal of Korean Institute of Communications and Information Sciences",
year = "2024",
issn = "1226-4717",
doi = "10.7840/kics.2024.49.1.134",
author = "Young-Jin Kee, Woo-Young Kim, Jae-Heyn Ryu, Dong-Ro Kim, Hyun-Woo Kim",
keywords = "Cow estrous monitoring, AI, Behavior detection, Data Augmentation, AI optimization",
abstract = "In this paper, this research presents an effective system for real-time monitoring and detection of cattle estrus behavior, utilizing IR and RGB cameras. The study also demonstrates the improved performance achieved through the generation of IR images using a GAN-based RGB to IR conversion. The system's reliability and stability were validated across different environments, further affirming its potential as a day/night cattle estrus monitoring system."
}