Episodic Reasoning for Vision-Based Human Action Recognition
Joint Authors
Santofimia, Maria J.
Martinez-del-Rincon, Jesus
Nebel, Jean-Christophe
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-14
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Santofimia, Maria J.& Martinez-del-Rincon, Jesus& Nebel, Jean-Christophe. 2014. Episodic Reasoning for Vision-Based Human Action Recognition. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-18.
https://search.emarefa.net/detail/BIM-1048989
Modern Language Association (MLA)
Santofimia, Maria J.…[et al.]. Episodic Reasoning for Vision-Based Human Action Recognition. The Scientific World Journal No. 2014 (2014), pp.1-18.
https://search.emarefa.net/detail/BIM-1048989
American Medical Association (AMA)
Santofimia, Maria J.& Martinez-del-Rincon, Jesus& Nebel, Jean-Christophe. Episodic Reasoning for Vision-Based Human Action Recognition. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-18.
https://search.emarefa.net/detail/BIM-1048989
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048989