Human Behaviour Understanding in Computer Vision

This thesis explores human behaviour in computer vision. Three main works are presented, which explore human traits such as interaction with the environment. Those traits are translated into architectural decisions of neural networks and are shown to improve results on tasks such as action prediction and human-object interaction classification.