Human behavior understanding in image sequences requires to study human interaction with the environment, because human beings behave depending on their location. Therefore, a semantic labeling of the scenario must be performed and provided to the system. In this work we present a method to automatically extract semantic information from a scenario by means of a set of existing agent trajectories and an ontology of the possible semantic regions. Our training algorithm constructs a path database which serves to infer a conceptual model of the scenario and to predict future agent trajectories, even from different camera views.
CitationBaiget, Pau; Fernández, Carles; Amato, Ariel; Roca, F. Xavier; Gonzàlez, Jordi. "Constructing a path database for scene categorization". A: 2nd Computer Vision: Advances in Research & Development (CVCRD), Bellaterra, Espanya, 2007. s. n., 2007, p. 1-6.
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