Title :
The Bowl-Throwing Result Analysis for Bowling Game
Author :
Lee, Jiann-Shu ; Su, Shang-Chin ; Chang, Hsuan-Ting
Author_Institution :
Nat. Univ. of Tainan, Tainan
Abstract :
In this paper, we propose a new approach to bowling game result analysis. A reliable attribute, i.e. the lane boundary, is detected first. Based on this attribute the rudimentary result frame can be detected. The spectral features of the audio frames of the candidates are employed to determine the exact result frame by applying the DistAl algorithm, a simple and fast constructive neural-network learning algorithm for pattern classification. The color information of the pin mark is then utilized to detect the preliminary bowling pin position. According to the pin arrangement rule and the proposed pin-mark curve the exact position for each pin can be decided. Hence, the bowling game result for each bowl can be indexed. Our experimental results show that the proposed approach is effective and robust.
Keywords :
audio signal processing; edge detection; image classification; image colour analysis; indexing; learning (artificial intelligence); neural nets; sport; video signal processing; DistAl algorithm; audio frames; bowl-throwing result analysis; bowling game; bowling pin position detection; color information; lane boundary detection; neural-network learning algorithm; pattern classification; pin mark; rudimentary result frame detection; spectral features; video indexing; Cameras; Classification algorithms; Frequency; Games; Image edge detection; Indexing; Object detection; Pattern classification; Pins; Robustness;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.566