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. © 2012 Springer-Verlag.
CITATION STYLE
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
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