Title: Classification of cricket videos using finite state machines

Authors: Vijayan Ellappan; R. Rajkumar

Addresses: School of Information Technology and Engineering, VIT University, Vellore, Tamilnadu, India ' School of Computing Sciences and Engineering, VIT University, Vellore, Tamilnadu, India

Abstract: The problem of classifying scenes from cricket video is addressed and a robust framework for this problem is proposed. It is proposed that the finite state machines (FSM) are suitable for detecting and classifying scenes and their usage is demonstrated for three types of events: wicket, six and four. This framework utilises the structural information of the scenes together with the low-level and mid-level features. Low-level features of the video including motion and audio energy, and a mid-level feature, body, are used in this approach. The transitions of the FSMs are determined by the features from each shot in the scene. The FSMs have been experimented on over 80 clips and convincing results have been achieved.

Keywords: fine state machine; FSM.

DOI: 10.1504/IJITM.2021.114156

International Journal of Information Technology and Management, 2021 Vol.20 No.1/2, pp.83 - 94

Received: 20 May 2017
Accepted: 29 Sep 2017

Published online: 12 Apr 2021 *

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