Representing Videos based on Scene Layouts for Recognizing Agent-in-Place Actions
arXiv: Computer Vision and Pattern Recognition, Volume abs/1804.01429, 2018.
We address the recognition of agent-in-place actions, which are associated with agents who perform them and places where they occur, in the context of outdoor home surveillance. We introduce a representation of the geometry and topology of scene layouts so that a network can generalize from the layouts observed in the training set to unse...More
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