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基于多特征融合的视频火焰检测方法研究

  

  1. 1. 福建船政交通职业学院机械工程系，福建 福州 350007；
    2. 福州大学机械工程及自动化学院，福建 福州 350108
  • 出版日期:2017-08-31 发布日期:2017-08-10
  • 基金资助:
    国家自然科学基金项目(51175084)；福建省自然科学基金项目(2015J01186)；福建省教育厅科技基金项目(JA15662)

Video Fire Detection Based on Fusion of Multiple Features

  1. 1. Mechanical Engieering Department, Fujian Chuanzheng Communications College, Fuzhou Fujian 350007, China;
    2. College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou Fujian 350108, China
  • Online:2017-08-31 Published:2017-08-10

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292

被引次数

1

摘要： 视频火焰检测对消防安全具有重要的实际意义。针对目前视频火焰检测算法检测
率低、误检率高的不足，提出一种综合运动特征检测、颜色特征分析和基于层次分析法的火焰
多种动态特征融合的火焰检测方法。首先利用改进的选择性背景更新模型获取视频图像中运动
前景目标，然后通过火焰颜色检测识别提取出可疑的火焰目标，再分析火焰的频闪特征、尖角
特征、圆形度特征、面积增长特征和整体移动特征，最后提出一种基于层次分析法的火焰多种
动态特征融合的检测识别方法。通过建立的火焰视频库的实验结果表明，提出的检测方法检测
准确率高，具有较好的可靠性和鲁棒性。

关键词: 火焰检测, 背景更新, 颜色检测, 动态特性, 层次分析法

Abstract: Video fire detection has important practical significance for fire safety. According to low
detection rate and high false-alarm rate in the current flame detection algorithm, a novel method to
detect flame is proposed, which combined flame motion detection, color clues and realized the
multi-feature fusion based on the analytic hierarchy process (AHP). Firstly, the background modeling
is carried out by optimizing the selective background updating to extract the fire-like moving region.
Secondly, the color analysis technique is applied to extract suspiciousflametarget. Thirdly, study the
dynamic features of flame and discuss detailed frequency property, angle, roundness characteristics,
areagrowth and overall movement of the flame. Finally, a method of realizing the multi-feature fusion
based on AHP for calculating the weight of the dynamic features of flame is proposed. The
experimental results on the flame video library show that the proposed method is accurate and robust,
which has high detection rate and low false-alarm rate.

Key words: detection, background updating, color detection, dynamic features, analytic hierarchy
process