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Título: | Automatic learning of conceptual knowledge in image sequences for human behavior interpretation |
Autor: | Baiget, Pau; Fernández, Carles; Roca, F. Xavier; Gonzàlez, Jordi | Palabras clave: | Pattern recognition: Computer vision Computer vision |
Fecha de publicación: | 2007 | Editor: | Springer Nature | Citación: | Pattern Recognition and Image Analysis: 507-514 (2007) | Serie: | Lecture Notes in Computer Science 4477 | Resumen: | This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source is the geometrical data obtained by applying tracking algorithms to an image sequence, which is used to generate conceptual data. The spatial characteristics of the scene are automatically extracted from the resuling tracking trajectories obtained during a training period. Interpretation is achieved by means of a rule-based inference engine called Fuzzy Metric Temporal Horn Logic and a behavior modeling tool called Situation Graph Tree. These tools are used to generate conceptual descriptions which semantically describe observed behaviors. | Descripción: | Presentado al 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA-2007) celebrado en Girona (Spain) del 6 al 8 de junio. | Versión del editor: | http://dx.doi.org/10.1007/978-3-540-72847-4_65 | URI: | http://hdl.handle.net/10261/30358 | DOI: | 10.1007/978-3-540-72847-4_65 | ISBN: | 978-3-540-72846-7 |
Aparece en las colecciones: | (IRII) Libros y partes de libros |
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Automatic learning of conceptual.pdf | 471,4 kB | Adobe PDF | Visualizar/Abrir |
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