Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition
Pattern Recognition, Volume 81, 2018, Pages 545-561.
Abstract Complex activity recognition is challenging due to the inherent uncertainty and diversity of performing a complex activity. Normally, each instance of a complex activity has its own configuration of atomic actions and their temporal dependencies. In our previous work, we proposed an atomic action-based Bayesian model that const...More
Full Text (Upload PDF)
PPT (Upload PPT)