Video Based Wildfire Detection in an Active Learning Framework - Robotics Institute Carnegie Mellon University
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VASC Seminar

June

25
Wed
A. Enis Çetin Professor of Electronics Engineering Bilkent University
Wednesday, June 25
3:00 pm to 4:00 pm
Video Based Wildfire Detection in an Active Learning Framework

Event Location: NSH 1507
Bio: A. Enis Cetin studied Electrical Engineering at the Orta Dogu Teknik Universitesi (METU). After getting his B.Sc. degree, he got his M.S.E and Ph.D. degrees in Systems Engineering from the Moore School of Electrical Engineering at the University of Pennsylvania in Philadelphia. Between 1987-1989, he was Assistant Professor of Electrical Engineering at the University of Toronto, Canada. Since then he has been with Bilkent University, Ankara, Turkey. Currently he is a full professor. During summers of 1988, 1991, 1992 he was with Bell Communications Research (Bellcore), NJ, USA. He spent 1994-1995 academic year at Koc University in Istanbul, and 1996-1997 academic year at the University of Minnesota, Minneapolis, USA as a visiting associate professor. He is involved in Multimedia Understanding Through Semantics and Computational Learning Network of Excellence research MUSCLE-ERCIM, computer vision based wild-fire detection research VBI Lab, biomedical signal and image processing research, MIRACLE project, signal processing research for food safety and quality applications, wavelet theory, inverse problems and used to carry out research related to Turkish Language and Speech Processing.

Professor Cetin is a fellow of IEEE. He was an Associate Editor of the IEEE Transactions on Image Processing between 1999 and 2003, EURASIP Journal of Applied Signal Processing (Springer), and Signal Processing (Elsevier). He is currently a member of the SPTM technical committee of the IEEE Signal Processing Society. He founded the Turkish Chapter of the IEEE Signal Processing Society in 1991. He was Signal Processing and AES Chapter Coordinator in IEEE Region-8 in 2003. He received the young scientist award of TUBITAK (Turkish Scientific and Technical Research Council) in 1993. He was the co-chair of the IEEE-EURASIP Nonlinear Signal and Image Processing Workshop (NSIP’99) which was held in June 1999 in Antalya, Turkey. He was also the technical co-chair of the European Signal Processing Conference, EUSIPCO-2005 . He was on the editorial boards of EURASIP Journals, Signal Processing and Journal of Advances in Signal Processing (JASP). Currently, he is the Editor-in-Chief of Signal, Image and Video Processing SIViP, and a member of the editorial boards of IEEE CAS for Video Technology and IEEE Signal Processing Magazine. He holds four US patents.

Abstract: In this talk, a computer vision based algorithm for wildfire detection is developed. Video coming from PTZ cameras placed on look-out towers are analyzed in real-time using several smoke detection sub-algorithms emphasizing various features of smoke such as slow-motion, light-gray color, smooth texture etc. Decisions of sub-algorithms are linearly combined using an adaptive algorithm. Weights are updated online according to an active fusion method based on performing entropic projections onto convex sets describing sub-algorithms. An oracle provides feedback to the decision fusion method. The oracle is the security guard of the forest lookout tower, verifying the final decision of the combined algorithm. This wildfire detection system is installed in hundreds of look-out towers in Turkey, the US, Italy and Cyprus. This work was funded by European Commission (FP-7 Framework) and Turkish Ministry of Environment and Forestry. A paper describing the wildfire detection project received a best paper award in an International Conference on Cultural Heritage and Digital Libraries, organized by UNESCO and the European Union in 2013.