Editorial: embedded vision system
ABSTRACT Wireless communications are a very popular application domain. The efficient implementation of their components (access points and mobile terminals/network interface cards) in terms of hardware cost and design time is of great importance. This paper ...
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ABSTRACT: Western societies are aging rapidly. An automated 24/7 surveillance to ensure safety of the elderly while respecting privacy becomes a major challenge. At the same time this is representative of novel and emerging video surveillance applications discovered lately besides the classic surveillance protection applications in airports, government buildings, and industrial plants. Three problems of current surveillance systems are identified. A distributed and automated smart camera based approach is proposed that addresses these problems. The proposed system's goal set is to analyze the real world and reflect all relevant-and only relevant-information live in an integrated virtual counterpart for visualization. It covers georeferenced person tracking and activity recognition (falling person detection). A prototype system installed in a home for assisted living has been running 24/7 for several months now and shows quite promising performance.Proceedings of the IEEE 11/2008; · 6.91 Impact Factor
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
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