한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2011년도 춘계학술발표대회
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- Pages.447-450
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- 2011
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
P-N 러닝을 이용한 실시간 축구공 검출 및 추적
Real-time Ball Detection and Tracking with P-N Learning in Soccer Game
- Huang, Shuai-Jie (Artificial Intelligence Lab., Dept. of Computer Science, Yonsei University) ;
- Li, Gen (Computer Vision Lab., School of Electrical and Electronic Engineering, Yonsei University) ;
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Lee, Yill-Byung
(Artificial Intelligence Lab., Dept. of Computer Science, Yonsei University)
- 발행 : 2011.04.30
초록
This paper shows the application of P-N Learning [4] method in the soccer ball detection and improvement for increasing the speed of processing. In the P-N learning, the learning process is guided by positive (P) and negative (N) constraints which restrict the labeling of the unlabeled data, identify examples that have been classified in contradiction with structural constraints and augment the training set with the corrected samples in an iterative process. But for the long-view in the soccer game, P-N learning will produce so many ferns that more time is spent than other methods. We propose that color histogram of each frame is constructed to delete the unnecessary details in order to decreasing the number of feature points. We use the mask to eliminate the gallery region and Line Hough Transform to remove the line and adjust the P-N learning's parameters to optimize accurate and speed.
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