Natural Language Descriptions of Human Behavior from Video Sequences

  • Authors:
  • Carles Fernández Tena;Pau Baiget;Xavier Roca;Jordi Gonzàlez

  • Affiliations:
  • Computer Vision Centre, Edifici O. Campus UAB, 08193, Bellaterra, Spain;Computer Vision Centre, Edifici O. Campus UAB, 08193, Bellaterra, Spain;Computer Vision Centre, Edifici O. Campus UAB, 08193, Bellaterra, Spain;Institut de Robòtica i Informàtica Ind. UPC, 08028, Barcelona, Spain

  • Venue:
  • KI '07 Proceedings of the 30th annual German conference on Advances in Artificial Intelligence
  • Year:
  • 2007

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Abstract

This contribution addresses the generation of textual descriptions in several natural languages for evaluation of human behavior in video sequences. The problem is tackled by converting geometrical information extracted from videos of the scenario into predicates in fuzzy logic formalism, which facilitates the internal representations of the conceptual data and allows the temporal analysis of situations in a deterministic fashion, by means of Situation Graph Trees (SGTs). The results of the analysis are stored in structures proposed by the Discourse Representation Theory (DRT), which facilitate a subsequent generation of natural language text. This set of tools has been proved to be perfectly suitable for the specified purpose.