Our latest work was presented at SIDIM 2019 (Seminario Interuniversitario de Investigación en Ciencias Matemáticas), at UPR Humacao, Puerto Rico
Presentation on the integration of detection, tracking and pollen detection for the automatic system that can characterize foraging patterns and differentiate between pollen bearing and non-pollen bearing bees. First results on 8 days of monitoring were shown.
Ivan F. Rodriguez, Kristin Branson, Edgar Acuña, Rémi Mégret, José L. Agosto-Rivera, Tugrul Giray, “Automatic monitoring of the foraging behavior of tagged and untagged honey bees”, SIDIM 2019, Humacao, March 1-2 2019.
Presentation on how to leverage automatic tracking and non-supervised learning to train neural networks to recognize the identity of a bee. The technique reached 0.94 ROC AUC for deciding whether two images of bees were the same bee or not, based on extensive video collection.
Jeffrey Chan, Ivan F. Rodriguez, Rémi Mégret, José L. Agosto-Rivera, Tugrul Giray, “Learning good features to discriminate untagged bees in video using non- supervised learning”, SIDIM 2019, Humacao, March 1-2 2019.
Poster on the detection of fanning behavior. Joint work with Edward Latorre and his students from UPR Arecibo, thanks to support from PR-LSAMP Faculty Summer Research Program.
Edward Latorre, Kelvin López, Ivan F. Rodríguez, Matías Rosner Ortiz, Rémi Mégret, Tugrul Giray, José L. Agosto, “Recognition of Fanning Bees from Video using Convolutional Neural Networks”, SIDIM 2019, Humacao, March 1-2 2019.