Multi-Type Activity Recognition from a Robot's Viewpoint

Ilaria Gori, J. K. Aggarwal, Larry Matthies, Michael. S. Ryoo
2017 Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence  
The literature in computer vision is rich of works where different types of activities -- single actions, two persons interactions or ego-centric activities, to name a few -- have been analyzed. However, traditional methods treat such types of activities separately, while in real settings detecting and recognizing different types of activities simultaneously is necessary. We first design a new unified descriptor, called Relation History Image (RHI), which can be extracted from all the activity
more » ... ypes we are interested in. We then formulate an optimization procedure to detect and recognize activities of different types. We assess our approach on a new dataset recorded from a robot-centric perspective as well as on publicly available datasets, and evaluate its quality compared to multiple baselines.
doi:10.24963/ijcai.2017/680 dblp:conf/ijcai/GoriAMR17 fatcat:je6sozfyjrdzrmghotgcg2nkau