Proceedings of the Korean Society of Broadcast Engineers Conference (한국방송∙미디어공학회:학술대회논문집)
- 2009.01a
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- Pages.282-285
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- 2009
Flame Verification using Motion Orientation and Temporal Persistency
- Hwang, Hyun-Jae (Dept. of Computer Engineering Keimyung University) ;
- Ko, Byoung-Chul (Dept. of Computer Engineering Keimyung University) ;
- Nam, Jae-Yeal (Dept. of Computer Engineering Keimyung University)
- Published : 2009.01.12
Abstract
This paper proposes a flame verification algorithm using motion and spatial persistency. Most previous vision-based methods using color information and temporal variations of pixels produce frequent false alarms due to the use of many heuristic features. To solve these problems, we used a Bayesian Networks. In addition, since the shape of flame changes upwards irregularly due to the airflow caused by wind or burning material, we distinct real flame from moving objects by checking the motion orientation and temporal persistency of flame regions to remove the misclassification. As a result, the use of two verification steps and a Bayesian inference improved the detection performance and reduced the missing rate.