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

M.J. Santofimia, J. Martinez-del-Rincon, J.-C. Nebel

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

4 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages159-166
Number of pages8
Volume7657 LNCS
DOIs
Publication statusPublished - 2012
EventInternational Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2012) - Vitoria-Gasteiz, Spain
Duration: 03 Dec 201205 Dec 2012

Conference

ConferenceInternational Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2012)
CountrySpain
CityVitoria-Gasteiz
Period03/12/201205/12/2012

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  • Cite this

    Santofimia, M. J., Martinez-del-Rincon, J., & Nebel, J-C. (2012). Common-sense knowledge for a computer vision system for human action recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7657 LNCS, pp. 159-166) https://doi.org/10.1007/978-3-642-35395-6_22