Learning and parsing video events with goal and intent prediction

Abstract

In this paper, we present a framework for parsing video events with stochastic Temporal And-Or Graph (T-AOG) and unsupervised learning of the T-AOG from video. This T-AOG represents a stochastic event grammar. The alphabet of the T-AOG consists of a set of grounded spatial relations including the poses of agents and their interactions with objects in the… (More)
DOI: 10.1016/j.cviu.2012.12.003

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