Context-Based Player Score Recognition in Low-Resolution Basketball Scoreboard Videos 


Vol. 42,  No. 10, pp. 1959-1962, Oct.  2017
10.7840/kics.2017.42.10.1959


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  Abstract

In this paper, we propose a context-based player score recognition method in low-resolution basketball scoreboard videos. It is even difficult to manually recognize scores of low-resolution scoreboard images. To address the problem, we propose to use team score difference for updating player scores. We used 20 videos to perform quantitative comparison between ours and LeNet. Our proposed method shows the higher performance than LeNet. We believe that this study guides for score recognition in low-resolution images and in scoreboards.

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  Cite this article

[IEEE Style]

H. Eun, J. Lee, S. Moon, J. Lee, D. Nam, C. Jung, C. Kim, "Context-Based Player Score Recognition in Low-Resolution Basketball Scoreboard Videos," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 1959-1962, 2017. DOI: 10.7840/kics.2017.42.10.1959.

[ACM Style]

Hyunjun Eun, Jiwon Lee, Sungwon Moon, Jungsoo Lee, Do-won Nam, Chanho Jung, and Changick Kim. 2017. Context-Based Player Score Recognition in Low-Resolution Basketball Scoreboard Videos. The Journal of Korean Institute of Communications and Information Sciences, 42, 10, (2017), 1959-1962. DOI: 10.7840/kics.2017.42.10.1959.

[KICS Style]

Hyunjun Eun, Jiwon Lee, Sungwon Moon, Jungsoo Lee, Do-won Nam, Chanho Jung, Changick Kim, "Context-Based Player Score Recognition in Low-Resolution Basketball Scoreboard Videos," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 1959-1962, 10. 2017. (https://doi.org/10.7840/kics.2017.42.10.1959)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880