Mathis Hocke:
Detecting honey bee trophallaxis in image data with convolutional neural networks
Kurzbeschreibung
Observation of the food exchange behaviour of honey bees, trophallaxis, has been laborious in the past. In this work I created a classifier to detect trophallaxis as a part of the BeesBook system that aims to automate detection of bee behavior in general. Based on labeled data I created a dataset of images showing trophallaxis and trained a convolutional neural network to classify images. I show that using more than one frame to classify trophallaxis yields a better score than using a single image. The network reaches an F_1 score of 0.89 for detecting trophallaxis which is an improvement over existing methods.