In this paper, we propose a new semantic event detection algorithm
in structured video. A hybrid method that combines HMM with SVM to detect
semantic events in video is proposed. The proposed detection method has some
advantages that it is suitable to the temporal structure of event thanks to Hidden
Markov Models (HMM) and guarantees high classification accuracy thanks to
Support Vector Machines (SVM). The performance of the proposed method is
compared with that of HMM based method, which shows the performance
increase in both recall and precision of semantic event detection.