Friday 26th of April 2024
 

Image Features As a Feed To Rough Sets for Fire/Smoke Detection


Jean Paul Dukuzumuremyi, Beiji Zou and Damien Hanyurwimfura

Many researchers are being involved in fire detection using camera images as information data. However earlier researches have not paid attention to the determination of the type of fire (naked or smoldering). This paper proposes an improved fire detection method based on the image features that are taken as a feed to a rough set information system (RSIS) in order to not only determine the type of the fire but also to minimize the false alarm signals from the methods based on physical aspects of fire (temperature, smoke sensors, etc.) and other frequency based image features WMF(Wavelet-based model) and FDS(Fire detection based on discrete cosine coefficients) proposed earlier

Keywords: Image processing, fire detection, computer vision, information system

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ABOUT THE AUTHORS

Jean Paul Dukuzumuremyi
He has got his Master Degree of Engineering in Computer Application Technology from School of Information Science and Engineering at Central South University, China. He is currently a Ph.D. candidate at the same University. His research interests include Digital Image Processing, Computer Graphics, Computer Vision, and their applications. He has published three papers: Two in computer vision and one in artificial intelligence

Beiji Zou
He holds a Ph.D in Computer science and technology from Hunan University, China. He is currently a Professor in School of Information Science and Engineering of Central South University, China. Since his graduation, Mr. Zou has been engaged in research of Digital Image Processing and Graphics. His papers were published in different Journal including Research and Development of Computer, Journal of Computer, Journal of Electronics these was presented at the International Conference sponsored by IEEE. In 1986, he participated in a project “3D Free-Form Surface Modeling”, which was supported by the youth award research funds from Chinese Academy of Science. Mr. Zou worked in Zhejiang University, China as a visiting scholar from Jul.1999 to Jun. 2000 and in Tsinghua University, China as a post-doctor from Jan. 2002 to Nov. 2003 respectively, engaged in research about Human Facial Expressional Recognition and Animation. He worked in the research field of Multimedia Technology in Griffith University of Australia from Dec. of 2003 to Dec. of 2004. In recent years, he has focused on computer graphics, computer animation, multimedia technology and virtual reality technique. He has published sixties of papers and accomplished more than 10 projects.

Damien Hanyurwimfura
He received his Masters degree of Engineering in Computer Science and Technology from Hunan University in 2010. He is currently a Ph.D student at the college of Information Science and Engineering, Hunan University, China. He is also a lecturer at the College of Science and Technology ,University of Rwanda, Kigali, Rwanda. His research interests include data security and data mining


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