Decision Tree-Based Digit Recognition in Basketball Scoreboard Videos 


Vol. 42,  No. 11, pp. 2097-2100, Nov.  2017
10.7840/kics.2017.42.11.2097


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  Abstract

In this paper, we propose a digit recognition method using a decision tree in basketball scoreboard videos. Many of contents of the scoreboard include digits which are important to analyze on sport videos. The proposed method recognizes team scores, a quarter, a play clock, and a shot clock. For quantitative evaluation, we collected 11,269 digit images. The proposed method achieved high performance on the dataset. We believe that this study guides for digit recognition and scoreboard recognition.

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  Cite this article

[IEEE Style]

H. Eun, J. Lee, S. Moon, J. Lee, D. Nam, C. Jung, C. Kim, "Decision Tree-Based Digit Recognition in Basketball Scoreboard Videos," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 11, pp. 2097-2100, 2017. DOI: 10.7840/kics.2017.42.11.2097.

[ACM Style]

Hyunjun Eun, Jiwon Lee, Sungwon Moon, Jungsoo Lee, Do-won Nam, Chanho Jung, and Changick Kim. 2017. Decision Tree-Based Digit Recognition in Basketball Scoreboard Videos. The Journal of Korean Institute of Communications and Information Sciences, 42, 11, (2017), 2097-2100. DOI: 10.7840/kics.2017.42.11.2097.

[KICS Style]

Hyunjun Eun, Jiwon Lee, Sungwon Moon, Jungsoo Lee, Do-won Nam, Chanho Jung, Changick Kim, "Decision Tree-Based Digit Recognition in Basketball Scoreboard Videos," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 11, pp. 2097-2100, 11. 2017. (https://doi.org/10.7840/kics.2017.42.11.2097)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880