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Title An overview of signal and image processing research in (a) Environment monitoring using visible range cameras and IR and UV sensors: (b) Intelligent image/video analysis algorithms for Omnidirectional cameras: (c) Signal processing for food safety at Bilkent University, Turkey
Speaker

Dr. A. Enis Cetin
Professor, Bilkent University
Ankara, Turkey
Visiting Professor, Ryerson University

Day and Time Thursday, September 24, 2009, 3:00 p.m. – 4:00 p.m.
Location

Sally Horsfall Eaton Centre, Room SHE 662
90 Gerrard Street East
Ryerson University
Toronto  map

Organizer Signal Processing Chapter
Contact Sri Krishnan, E-mail:
Abstract

Environment monitoring using visible range cameras and IR and UV sensors: We developed a video based wildfire detection method during the last three years. The method is based on smoke detection in video. We use several weak sub-algorithms performing covariance and "codifference" matrix based image analysis, wavelet transform based texture analysis and detecting slow moving objects. We fuse decision results of subalgorithms using an LMS based decision fusion algorithm. We also developed volatile organic compound (VOC) vapor detection methods using low-cost IR sensors. Turbulant behavior of VOC vapor is modelled using Markov Models.

Intelligent image/video analysis algorithms for Omnidirectional cameras: We took part in the design of a wide-angle camera having a fisheye lens during the last four years. The camera corrects warped image frames due to the fisheye lens using a graphics processor unit (GPU). We developed demosaicking, abondoned object detection, camera sabotage detection, unusual event detection algorithms for this camera.

Signal processing for food safety: Aflatoxin is a cancer causing substance naturally occuring in tree-nuts. By detecting cracked hazelnuts one can reduce the amount of aflatoxin. Cracked nuts produce a different sound then uncracked ones when they hit a metal plate. It is possible to distinguish cracked nuts from the regular ones. We will present an impact sound classification method for three nuts. This is a joint work with the USDA.

Biography

A. Enis Cetin got his Ph.D. degree from the University of Pennsylvania in 1987. Between 1987-1989, he was Assistant Professor of Electrical Engineering at the University of Toronto. He has been with Bilkent University, Ankara, Turkey, since 1989. He spent 1996-1997 academic year at the University of Minnesota, as a visiting professor. He is currently visiting Ryerson University.

He carried out contract research for both governmental agencies and industry including Bell Communications Research (Bellcore), European Community FP6 and FP7, Visioprime, UK, Honeywell Video Systems, Grandeye-UK, Creative Labs, National Science Foundation-USA, NSERC-Canada and ASELSAN, TUBITAK, Ankara, Turkey. He was a scientific committee member of the EC FP6 funded Network of Excellence (NoE): Multimedia Understanding through Semantics, Computation and Learning (MUSCLE) consisting of more than 40 institutions and labs.

Prof. Cetin was an Associate Editor of the IEEE Trans. on Image Processing between 1999-2003. Currently, he is on the editorial boards of journals Signal Processing and Journal of Advances in Signal Processing (EURASIP), and Journal of Machine Vision and Applications (IAPR), Springer. He is a member of the DSP technical committee of the IEEE Circuits and Systems Society and the SPTM committee of IEEE SP Society. He was Signal Processing and AES Chapter Coordinator in IEEE Region-8 in 2003. He was the co-chair of the IEEE-EURASIP Nonlinear Signal and Image Processing Workshop (NSIP'99). He was the technical co-chair of the European Signal Processing Conference-EUSIPCO-2005. He is on the organizing committee of International Conf. On Pattern Recognition (ICPR) to be held in Istanbul in Aug. 2010.

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