Hindawi Publishing Corporation
EURASIP Journal on Embedded Systems
Volume 2007, Article ID 34323, 2 pages
Embedded Vision System
Dietmar Dietrich1and Heinrich Garn2
1Institute of Computer Technology, Faculty of Electrical Engineering and Information Technology,
Vienna University of Technology, 1040 Vienna, Austria
2Smart Systems Division, Austrian Research Centers GmbH (ARC), 1220 Vienna, Austria
Received 23 January 2007; Accepted 23 January 2007
Copyright © 2007 D. Dietrich and H. Garn. This is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
Video surveillance and machine vision systems are attracting
growing academic and industrial interests.
The market for digital CCTV systems is constantly grow-
ing because of terror attacks, crime, vandalism, and violence
in public and also in business domains. The turnover for
CCTV products for video surveillance is estimated to grow
by 10% per year in Europe and by 13% per year worldwide,
reaching 3.8 billion US$ in Europe and 10.6 billion US$ by
In the machine vision market, the annual growth in
turnover in vision systems has been 7%–15% over the last
few years. In the smart-vision segment, an annual growth of
as much as 20% is predicted within the next 4 years. Innova-
tion and technological lead of an enterprise were identified
as the key impulses for this growth.
Vision systems are still skeptically perceived by potential
users. More than 50% view vision systems are too expensive
or complex in setup and use. All this shows that embedded
vision systems have a high potential for innovative product
development and represent the major future growth factor
in the imaging industry.
There are numerous technical challenges that researchers
and engineers are working on all around the world. We are
proud to present a selection of excellent scientific papers
Journal on Embedded Systems. About 60% of the submitted
papers have been accepted. The emphasis is on tools, archi-
tectures, and methodologies for implementing computer vi-
sion in field-programmable logic arrays (FPGAs) and digital
signal processors (DSP):
(i) a tool for automatic generation of the memory man-
agement implementation for spatial and temporal
real-time video processing systems targeting field-
programmable logic arrays;
(ii) a software library for image processing algorithms for
an embedded system;
(iii) a high-level optimization methodology for imple-
menting the convolutional face finder algorithm for
real-time applications on mobile phones;
(iv) an adaptive and predictive FPGA embedded architec-
ture for vision systems dedicated to image analysis;
(v) a design methodology for mapping computer-vision
algorithms onto an FPGA through the use of coarse-
grain reconfigurable dataflow graphs;
(vi) a novel FPGA-based architecture dedicated to active
(vii) design considerations for a scalable high-performance
vision system, like partitioning of image processing al-
gorithms between hardware and software;
(viii) methods for processing local binary patterns with a
massively parallel hardware, especially with cellular
nonlinear network universal machine.
In addition, some dedicated solutions are presented:
(i) a reuseable FPGA building block for backward warp-
ing and interpolation of arbitrary-shaped image re-
(ii) a high-speed smart camera based on a CMOS sensor
with embedded processing;
(iii) a custom FPGA-based circuit board designed to sup-
port research in the development of algorithms for
image-directed navigation and control;
(iv) a distributed surveillance system based on network-
enabled smart cameras for probabilistic tracking;
(v) autonomous multicamera tracking on embedded
(vi) an embedded multilane traffic data acquisition system
based on an asynchronous temporal contrast vision
2EURASIP Journal on Embedded Systems
The editors wish to thank Professor Zoran Salcic in Auck-
land and Professor Markus Rupp in Vienna who encouraged
them to propose this special issue and to launch a call for
papers. They also gratefully acknowledge the work of their
CoguestEditors ProfessorUdo Kebschullin Heidelberg,Pro-
fessor Christoph Grimm in Vienna, and Dr. Moshe Ben-Ezra
in Princeton. The work of their reviewers who carefully re-
viewed the papers and made many constructive criticisms is
gratefully acknowledged. Finally, they thank all authors and
coauthors for the submission of so many thoughtful contri-
The 2011 European Signal Processing Conference (EUSIPCO?2011) is the
nineteenth in a series of conferences promoted by the European Association for
Signal Processing (EURASIP, www.eurasip.org). This year edition will take place
in Barcelona, capital city of Catalonia (Spain), and will be jointly organized by the
Centre Tecnològic de Telecomunicacions
Universitat Politècnica de Catalunya (UPC).
de Catalunya (CTTC) and the
EUSIPCO?2011 will focus on key aspects of signal processing theory and
litili t d b lAtapplications as listed below. Acceptance of submissions will be based on quality,
relevance and originality. Accepted papers will be published in the EUSIPCO
proceedings and presented during the conference. Paper submissions, proposals
for tutorials and proposals for special sessions are invited in, but not limited to,
the following areas of interest.
fb i iill b bd lit
Technical Program Co?ChairsTechnical?Program?Co Chairs
Areas of Interest
• Audio and electro?acoustics.
• Design, implementation, and applications of signal processing systems.
ldld • Multimedia signal processing and coding.
• Image and multidimensional signal processing.
• Signal detection and estimation.
• Sensor array and multi?channel signal processing.
• Sensor fusion in networked systems.
• Signal processing for communications.
• Medical imaging and image analysis.
• Non?stationary, non?linear and non?Gaussian signal processing.
Montserrat Nájar (UPC) Montserrat?Nájar?(UPC)
i l Li i& E hibi
Procedures to submit a paper and proposals for special sessions and tutorials will
be detailed at www.eusipco2011.org. Submitted papers must be camera?ready, no
more than 5 pages long, and conforming to the standard specified on the
EUSIPCO 2011 web site. First authors who are registered students can participate
in the best student paper competition.
PProposals?for?special?sessions?l fi li 15 D 15?Dec?20102010
Proposals?for?tutorials 18?Feb 2011
Notification?of?acceptance 23?May 2011