Episodic reasoning for vision-based human action recognition

Santofimia, Maria J., Martinez del Rincon, Jesus and Nebel, Jean-Christophe (2014) Episodic reasoning for vision-based human action recognition. Scientific World Journal, 2014(270171), ISSN (print) 2356-6140

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Smart Spaces, Ambient Intelligence, and Ambient Assisted Living are environmental paradigms that strongly depend on their capability to recognize human actions. While most solutions rest on sensor value interpretations and video analysis applications, few have realized the importance of incorporating common-sense capabilities to support the recognition process. Unfortunately, human action recognition cannot be successfully accomplished by only analyzing body postures. On the contrary, this task should be supported by profound knowledge of human agency nature and its tight connection to the reasons and motivations that explain it. The combination of this knowledge and the knowledge about how the world works is essential for recognizing and understanding human actions without committing common-senseless mistakes. This work demonstrates the impact that episodic reasoning has in improving the accuracy of a computer vision system for human action recognition. This work also presents formalization, implementation, and evaluation details of the knowledge model that supports the episodic reasoning.

Item Type: Article
Additional Information: This work was supported by Engineering and Physical Sciences Research Council [grant number EP/E001025/1].
Research Area: Computer science and informatics
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing (until 2017)
Faculty of Science, Engineering and Computing (until 2017) > School of Computing and Information Systems
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Depositing User: Automatic Import Agent
Date Deposited: 22 Aug 2014 09:30
Last Modified: 28 Sep 2015 13:59
DOI: https://doi.org/10.1155/2014/270171
URI: http://eprints.kingston.ac.uk/id/eprint/28589

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