期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：12
页码：409-420
DOI：10.14257/ijsip.2015.8.12.38
出版社：SERSC
摘要：A corner event detection method based on HMM (Hidden Markov Model) in soccer videos. Through analysis of the semantic structure of corner events, define and extract six multi- modal semantic clues to describe shot sequences, which constitute observation sequences as the HMM model input. By the iterative training of the HMM model and the continuous optimization of model parameters, construct the HMM model of corner events. From two aspects of audio and video, dig the inherent pattern of corner events and realize corner events automatic detection based on HMM accurately. The experimental results show that the present method achieves 89.6% recall and 96.3% precision, which has the better performance.
关键词：Video semantic analysis; Hidden Markov Model; Audio and video features
