Seminar Announcement
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| Title
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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
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| Speaker
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Dr. A. Enis Cetin
Professor, Bilkent University
Ankara, Turkey
Visiting Professor, Ryerson University
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| Day and Time
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Thursday, September 24, 2009, 3:00 p.m. – 4:00 p.m. |
| Location
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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
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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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