Title: New approach for automatic view detection system in tennis video

Authors: Manel Farhat; Ali Khalfallah; Med Salim Bouhlel

Addresses: Research Unit: Sciences and Technologies of Image and Telecommunications, Higher Institute of Biotechnology, University of Sfax, Sfax, Tunisia ' Research Unit: Sciences and Technologies of Image and Telecommunications, Higher Institute of Biotechnology, University of Sfax, Sfax, Tunisia ' Research Unit: Sciences and Technologies of Image and Telecommunications, Higher Institute of Biotechnology, University of Sfax, Sfax, Tunisia

Abstract: Tennis is the highest structured sport and the playing time is the most important part. It is frequently characterised by a global court view. So, to extract the playing time, we must detect court view frames that represents a significant landmarks in tennis broadcasting. In this context, this paper presents a new system for automatic view detection in tennis video based on pattern recognition approach. First, we detected and extracted the pattern presenting the court view. Then, each current frame of the video is compared to the pattern to yield a colour similarity descriptor. We used measures similarity, based on Hue-histogram, between the current frame and the court view pattern. In addition, we presented an evaluation of our proposed system and a comparison between the different metrics of similarity used (intersection, correlation, chi-square and Bhattacharyya). Experimental results proved the efficiency of our proposed approach in terms of precision and speed.

Keywords: Bhattacharyya; chi-square; correlation; intersection; pattern recognition; similarity measures; view detection.

DOI: 10.1504/IJSISE.2017.086388

International Journal of Signal and Imaging Systems Engineering, 2017 Vol.10 No.4, pp.195 - 203

Received: 15 Nov 2016
Accepted: 22 Apr 2017
Published online: 04 Sep 2017 *

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