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IMPLEMENTATION OF A PATH DETECTION ALGORITHM FOR MOVING IMAGES ON THE CNN UNIVERSAL MACHINE

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Abstract (2. Language): 
CNN Universal Machines that contain two different processors working interactively with each other, have an important impact for image processing applications with their advanced computing features. These processors are named as ACE16k processor which is the hardware implementation of cellular neural networks and Digital Signal Processor (DSP). Bio-inspired (Bi-i) Cellular Vision System is also a CNN Universal Machine and its standalone architecture is built on CNN-type (ACE16k) and DSP-type microprocessors. In this study, certain objects in moving images are detected and their features are extracted. By using these features, an algorithm that finds out the path of moving objects is implemented on the Bi-i Cellular Vision System. Finally, the output images obtained as a result of this implementation are evaluated.
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E. ARSLAN et al. / IU-JEEE Vol. 10(2), (2010), 1235-1241
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Note:
Emel Arslan received the B.Sc. and M.Sc. degrees from
Trakya University, Edirne,
Turkey, and Ph.D. degree from
Istanbul University, Istanbul,
Turkey, in 2001, 2004 and 2011,
respectively. She is currently
working as a Computer Engineer
in the Research and Application
Center for Computer Sciences,
Istanbul University. Her research
interests are artificial neural
networks, natural language
processing, image processing applications and intelligent
systems.
Zeynep Orman received the
B.Sc., M.Sc. and Ph.D. degrees
from Istanbul University,
Istanbul, Turkey, in 2001, 2003
and 2007, respectively. She has
studied as a postdoctoral research
fellow in the Department of
Information Systems and
Computing, Brunel University,
London, UK in 2009. She is
currently working as an Assistant
Professor in the Department of
Computer Engineering, Istanbul University. Her research
interests are artificial neural networks, nonlinear systems,
image processing applications and intelligent systems.
Sabri Arik received the Dipl.Ing.
degree from Istanbul Technical
University, Istanbul, Turkey, the
Ph.D. degree from the London
South Bank University, London,
UK, and the Habilitation degree
from Istanbul University,
Istanbul, Turkey. He is now with
the Department of Computer
Engineering, Istanbul University
as a Professor. His major research
interests include cellular neural
networks, nonlinear systems and matrix theory. He has
authored and coauthored some 50 publications. Dr. Arik is a
member of the IEEE Circuits and Systems Society Technical
Committee of Cellular Neural Networks and Array
Computing. He was the recipient of the Outstanding Young
Scientist Award in 2002 from the Turkish Academy of
Sciences, Junior Science Award in 2005 from the Scientific
and Technological Research Council of Turkey and the Frank
May Prize (Best Paper Award) in 1996 from the London
South Bank University.

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