Robust Little Flame Detection on Real-Time Video Surveillance System

• Main Authors: Yi-Han Liao, 廖翌涵
• Other Authors: 郭忠義
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/7xybur

碩士 === 國立臺北科技大學 === 資訊工程系研究所 === 100 === In current era, there are various kinds of sensor used to detect the occurrence of fire. When a fire disaster occurs, security needs to go to the place and assesses the situation. In contrast, video-based fire detection system not only gives a faster response time but also provides with some fire information. This information help security to verify the fire alarm. This study proposes a method to detect the little flame in the early stage of fire combustion. The foreground object was extracted by motion detection and YCbCr color clues. To avoid the noise of motion detection in different resolution videos, background edge is used to eliminate noise instead of morphology. Next, with the help of fire characteristics, the foreground object is identified. A fire object is determined by compactness, corner flicker rate, and growth rate. The experiment can be applied to any resolution video and complex scene, both indoors and outdoors, such as squares, where people walk around and vehicles pass by. The outcome of experiment, using this proposed method, can detect the fire object accurately and exclude the undangerous fire.