Ball Hit Detection in Table Tennis Games Based on Audio Analysis

Author

Zhang, Bin ; Dou, Weibei ; Chen, Liming

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing

Volume

3

fYear

0

fDate

0-0 0

Firstpage

220

Lastpage

223

Abstract

As bearer of high level semantics, audio signal is being more and more used in content-based multimedia retrieval. In this paper, we investigate the ball hit detection for sports games and propose a novel approach to detect ball hits. By employing energy peak detection (EPD) and Mel frequency cepstral coefficient-based (MFCC-based) refinement (MBR), high precision (91%) and adequate recall (73%) of ball hit detection are achieved with a low computational complexity and an easy training process. The proposed algorithm can be applied in audio content-based highlight detection systems and provide valuable information for semantical understanding of sports games

Keywords

acoustic signal processing; audio signal processing; cepstral analysis; computational complexity; content-based retrieval; sport; Mel frequency cepstral coefficient refinement; audio content detection; audio signal analysis; ball hit detection; content-based multimedia retrieval; energy peak detection; high level semantics; sports game; table tennis game; Background noise; Cepstral analysis; Computational complexity; Computer vision; Content based retrieval; Detectors; Event detection; Games; Information retrieval; Mel frequency cepstral coefficient;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.314

Filename

1699506