rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos

摘要

For assistive robots, anticipating the future actions of humans is an essential task. This requires modelling both the evolution of the activities over time and the rich relationships between humans and the objects. Since the future activities of humans are quite ambiguous, robots need to assess all the future possibilities in order to choose an appropriate action. Therefore, a successful anticipation algorithm needs to compute all plausible future activities and their corresponding probabilities.