원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.12
2015.12
pp.1-10
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
We turn to statistical-based methods and propose a statistical inference approach by using Dynamic Bayesian Network, which is able to learn automatically from data set. By soccer video analysis is as an example, the proposed method is verified by experiment. We extract the color, shape and other low-level features from the video, to detect and identify 5 kinds of high-level semantic events using dynamic Bayesian network model. The experimental results show that our method is effective.
목차
Abstract
1. Introduction
2. Event Detection based on Dynamic Bayes Network
2.1. Domain Modeling
2.2. Extraction of Features
2.3. Learning and Reasoning
3. Experimental Analysis and Results
4. Conclusion
References
1. Introduction
2. Event Detection based on Dynamic Bayes Network
2.1. Domain Modeling
2.2. Extraction of Features
2.3. Learning and Reasoning
3. Experimental Analysis and Results
4. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보