Video Flame Detection Based on Color and Contour Features

摘要：

In this paper, a video flame detection method combining fire color and contour features is proposed. Firstly, fire color areas are obtained using fire color detection rules based on RGB color space and HSI color space. Secondly, the whole continuous and close flame contours are extracted by applying the Chan-Vese model in fire color areas. Then the moving properties of flame contours are analyzed and those with characteristic displacement and vibration features are accepted as flame objects. Experimental results show the proposed approach can remove the static or dynamic non-flame objects and segment the flame area from the complex background, and also has a high time effectiveness.

关键词： flame detection fire color Chan-Vese model

作者: HUANG Fuzhen WU Haitao

作者单位: Department of Information & Control Engineering, Shanghai University of Electric Power, Shanghai, 200090, China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 3668-3671

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）