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Springer Verlag, Lecture Notes in Computer Science, p. 159-166

DOI: 10.1007/978-3-642-35395-6_22

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Common-Sense Knowledge for a Computer Vision System for Human Action Recognition

Journal article published in 2012 by Maria J. Santofimia Romero, Jesus Martinez del-Rincon, Jesus Martinez del Rincon ORCID, Jean-Christophe Nebel
This paper is available in a repository.
This paper is available in a repository.

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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.