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Soomro, K. and Zamir, A.R. (2014) Action Recognition in Realistic Sports Videos. In: Moeslund, T.B., Thomas, G. and Hilton, A., Eds., Computer Vision in Sports, Springer International Publishing, Switzerland, 181-208.
http://dx.doi.org/10.1007/978-3-319-09396-3_9

has been cited by the following article:

• 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.