Most of the research on bee behavioral events revolves around stereotypical behavior such as trophallaxis and bee waggle dances. In order to gain new insights on bee behavior, this thesis introduces an unsupervised future frame prediction framework for video data capturing bee behavior, applying state of the art deep learning architectures, such as ConvLSTM networks and 3D convolutional network in U-Net shape.