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Published in: Artificial Intelligence Review 3/2019

16-10-2017

Ball tracking in sports: a survey

Authors: Paresh R. Kamble, Avinash G. Keskar, Kishor M. Bhurchandi

Published in: Artificial Intelligence Review | Issue 3/2019

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Abstract

Increase in the number of sport lovers in games like football, cricket, etc. has created a need for digging, analyzing and presenting more and more multidimensional information to them. Different classes of people require different kinds of information and this expands the space and scale of the required information. Tracking of ball movement is of utmost importance for extracting any information from the ball based sports video sequences. Based on the literature survey, we have initially proposed a block diagram depicting different steps and flow of a general tracking process. The paper further follows the same flow throughout. Detection is the first step of tracking. Dynamic and unpredictable nature of ball appearance, movement and continuously changing background make the detection and tracking processes challenging. Due to these challenges, many researchers have been attracted to this problem and have produced good results under specific conditions. However, generalization of the published work and algorithms to different sports is a distant dream. This paper is an effort to present an exhaustive survey of all the published research works on ball tracking in a categorical manner. The work also reviews the used techniques, their performance, advantages, limitations and their suitability for a particular sport. Finally, we present discussions on the published work so far and our views and opinions followed by a modified block diagram of the tracking process. The paper concludes with the final observations and suggestions on scope of future work.

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Metadata
Title
Ball tracking in sports: a survey
Authors
Paresh R. Kamble
Avinash G. Keskar
Kishor M. Bhurchandi
Publication date
16-10-2017
Publisher
Springer Netherlands
Published in
Artificial Intelligence Review / Issue 3/2019
Print ISSN: 0269-2821
Electronic ISSN: 1573-7462
DOI
https://doi.org/10.1007/s10462-017-9582-2

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