Detection and Recognition of Scoreboard for Baseball Videos

Authors:
Chaur-Heh Hsieh;Chin-Pan Huang;Mao-Hsiung Hung
Affiliations:
Dept. of Computer and Communication Engineering, Ming Chuan University, Taoyuan, Taiwan;Dept. of Computer and Communication Engineering, Ming Chuan University, Taoyuan, Taiwan;Dept. of Information Engineering, I-Shou University, Kaohsiung, Taiwan
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Year:
2008

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Abstract

This paper presents an effective and efficient detection and recognition of scoreboard caption method for baseball videos. The method first identifies the scoreboard type using template matching and then extracts the caption region of each type. Next it recognizes the extracted caption utilizing a novel digit recognition scheme which is constructed by a simple neural network classifier. It results in a much simpler method with significantly higher recognition rate over that of the universal OCR scheme. Experimental results demonstrate the effectiveness of the proposed method and indicate that it identifies twelve scoreboard types correctly and recognizes scoreboard caption over 98%.