中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 长春光学精密机械与物理研究所
  3. 中国科学院长春光学精密机械与物理研究所
Flame Detection Using Generic Color Model and Improved Block-Based PCA in Active Infrared Camera

文献类型：期刊论文

作者Zhao, Q.; Sun, F. D.; Li, W. H.; Liu, P. X.
刊名International Journal of Pattern Recognition and Artificial Intelligence
出版日期2018
卷号32期号:5页码:15
ISSN号0218-0014
关键词Active infrared camera video-type classification generic color model dynamic flame feature real-time fire Computer Science
DOI10.1142/s0218001418500143
英文摘要In this paper, we proposed an all-weather flame detection algorithm which could make full use of active infrared cameras presently installed in many public places for surveillance purposes. Firstly, according to the different spectral imaging results in day and night, we propose a video type classification algorithm (VTCA) via imaging clues. VTCA could help us select different flame visual features in color image and infrared image. Secondly, we use a generic YCbCr-color-space-based chrominance model to extract regions of interest (ROI) of flame. Thirdly, two flame dynamic features are used to verify the candidate ROIs, which are common flame flicker feature and an improved block-based PCA in consecutive frames. The experimental results show that the proposed flame detection model has been successfully applied to various situations, including day and night, indoor and outdoor on our test video datasets, and it gives a better performance compared with other state-of-the-art methods.
源URL[http://ir.ciomp.ac.cn/handle/181722/60999]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714		 Zhao, Q.,Sun, F. D.,Li, W. H.,et al. Flame Detection Using Generic Color Model and Improved Block-Based PCA in Active Infrared Camera[J]. International Journal of Pattern Recognition and Artificial Intelligence,2018,32(5):15.
APA Zhao, Q.,Sun, F. D.,Li, W. H.,&Liu, P. X..(2018).Flame Detection Using Generic Color Model and Improved Block-Based PCA in Active Infrared Camera.International Journal of Pattern Recognition and Artificial Intelligence,32(5),15.
MLA Zhao, Q.,et al."Flame Detection Using Generic Color Model and Improved Block-Based PCA in Active Infrared Camera".International Journal of Pattern Recognition and Artificial Intelligence 32.5(2018):15.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。