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 language | English |
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Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Pages | 159-166 |
Number of pages | 8 |
Volume | 7657 LNCS |
DOIs | |
Publication status | Published - 2012 |
Event | International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2012) - Vitoria-Gasteiz, Spain Duration: 03 Dec 2012 → 05 Dec 2012 |
Conference
Conference | International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2012) |
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Country/Territory | Spain |
City | Vitoria-Gasteiz |
Period | 03/12/2012 → 05/12/2012 |
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Decoding the Language of Human Movement
Jesus Martinez-del-Rincon & Maria Santofimia-Romero
01/12/2014
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