Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association

Abstract

Recognising behaviours of multiple people, especially high-level behaviours, is an important task in surveillance systems. When the reliable assignment of people to the set of observations is unavailable, this task becomes complicated. To solve this task, we present an approach, in which the hierarchical hidden Markov model (HHMM) is used for modeling the… (More)
DOI: 10.5244/C.20.126

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