| 曹江涛,秦跃雁,姬晓飞.基于视频的火焰检测算法综述[J].数据采集与处理,2020,35(1):35-52 |
| 基于视频的火焰检测算法综述 |
| Review on Video Based Flame Detection Algorithm |
| 投稿时间：2019-04-02 修订日期：2019-07-16 |
| DOI：10.16337/j.1004-9037.2020.01.005 |
| 中文关键词: 视频火焰检测 预处理 特征提取 多特征融合 分类识别 深度学习 |
| 英文关键词:video flame detection preprocessing feature extraction multi feature fusion classification and recognition deep learning |
| 基金项目:辽宁省科学事业公益研究基金 2016002006┫资助项目 ; 辽宁省自然科学基金 201602557┫资助项目 ; 辽宁省教育厅科学研究服务地方基金 L201708┫资助项目 辽宁省科学事业公益研究基金（2016002006）资助项目；辽宁省自然科学基金(201602557)资助项目；辽宁省教育厅科学研究服务地方基金(L201708)资助项目。 |
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| 中文摘要: |
| 近年来，随着计算机视觉技术和数字图像处理技术的不断发展，基于视频分析的火焰检测技术获得越来越多的关注。鉴于基于视频的火焰检测对消防安全、人民生命和国家财产安全等具有重要的实际研究意义，以及其理论基础和影响因素的多样性，本文对目前已有的基于视频的火焰检测算法所涉及的关键技术进行了综述。首先介绍了目前基于视频的火焰检测技术的处理流程，即预处理、特征提取、分类识别；其次着重分析火焰的特征，包括基于单帧的静态特征和基于多帧的动态特征，同时列举了典型的火焰特征提取算法；然后重点总结多特征融合策略和用于火焰识别的常用分类器以及深度学习识别方法；最后对基于视频的火焰检测技术的研究难点和未来发展进行了较为详细的分析探讨。 |
| 英文摘要: |
| In recent years, with the continuous development of computer vision technology and digital image processing technology, flame detection technology based on video analysis has attracted more and more attention. Aiming at the practical significance of video-based flame detection for fire safety, people and national property safety, and the diversity of theoretical basis and influencing factors, the existing video-based flame detection algorithms are summarized. Firstly, this paper introduces the current processing flow of video-based flame detection technology, that is, pre-processing, feature extraction, classification and recognition; secondly, the flame characteristics are analyzed including static features based on single frame and dynamic features based on multi frame, and the typical flame feature extraction algorithms are enumerated. Then, the multi feature fusion, and the classifier classification and the depth learning recognition method for the flame recognition are emphatically summarized. Finally, the difficulties and future development of video-based flame detection technology are discussed in detail. |
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