TITLE:
Fuzzy Empowered Cognitive Spatial Relation Identification and Semantic Action Recognition
AUTHORS:
R. I. Minu, G. Nagarajan
KEYWORDS:
SIFT, Type II Fuzzy, Segmentation, JSEG, RCC
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.8,
June
24,
2016
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.