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Fuzzy Empowered Cognitive Spatial Relation Identification and Semantic Action Recognition
Department of Computer Science and Engineering, Jerusalem College of Engineering, Chennai, India
Department of Electrical and Electronic Engineering, Sathyabama University, Chennai, India
- 1 Department of Computer Science and Engineering, Jerusalem College of Engineering, Chennai, India
- 2 Department of Electrical and Electronic Engineering, Sathyabama University, Chennai, India
Circuits and Systems·Volume 07 (2016)·Pages 1906–1915·Published 2 June 2016·DOI10.4236/cs.2016.78165
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Abstract
Automatic labeling of the action held by the players in a live-in sports video is the main motivation of this paper. In this paper, we proposed a fuzzy-based action recognition system from a basketball sports image. This paper deals with the intellectual sports event action recognition from a live video stream. It required an intelligent system which would automatically and semantically label the action in the videos through machine understandability concept. The machine knowledge can be feed through the domain ontology of particular sports event. The major required component for this kind of system is an efficient image analysis component and automation action labelling component. The image is labelled using Type-2 Fuzzy set concept.
KeywordsSIFTType II FuzzySegmentationJSEGRCC
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