Author(s)

R. I. Minu¹, G. Nagarajan²

¹Department of Computer Science and Engineering, Jerusalem College of Engineering, Chennai, India.
²Department of Electrical and Electronic Engineering, Sathyabama University, Chennai, India.

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.

SIFT, Type II Fuzzy, Segmentation, JSEG, RCC

Minu, R. and Nagarajan, G. (2016) Fuzzy Empowered Cognitive Spatial Relation Identification and Semantic Action Recognition. Circuits and Systems, 7, 1906-1915. doi: 10.4236/cs.2016.78165.