Common-Sense knowledge for a computer vision system for human action recognition

Authors:
Maria J. Santofimia;Jesus Martinez-del-Rincon;Jean-Christophe Nebel
Affiliations:
Computer Architecture and Network Group, School of Computing Science, University of Castilla-La Mancha, Spain;The institute of Electronics, Communications and Information Technology (ECIT), Queens University of Belfast, UK;Digital Imaging Research Centre, Kingston University, London, UK
Venue:
IWAAL'12 Proceedings of the 4th international conference on Ambient Assisted Living and Home Care
Year:
2012

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Abstract

This work presents a novel approach for human action recognition based on the combination of computer vision techniques and common-sense knowledge and reasoning capabilities. The emphasis of this work is on how common sense has to be leveraged to a vision-based human action recognition so that nonsensical errors can be amended at the understanding stage. The proposed framework is to be deployed in a realistic environment in which humans behave rationally, that is, motivated by an aim or a reason.