Eighth IEEE Embedded Vision Workshop
Date: June, 2012
Providence, RI, USA
www.computervisioncentral.com/content/evw2012
held in conjunction with IEEE CVPR 2012
Call For Papers
Recent years have witnessed a significant increase in the use of
embedded systems for vision. Applications range from accurate,
performance-centric systems to high volume, low-cost, light weight and
energy efficient consumer devices. Computer vision has been deployed
in many applications, for example, in video search and annotation,
surveillance, computer-aided surgery, for gesture and body movement
detection in video games, to assist drivers in automotive safety and
for in-home monitoring of vulnerable persons. Embedded computer vision
is part of a growing trend towards developing low-cost “smart sensors”
that use local “analytics” to interpret data, passing on relatively
high level alerts or summary information via network connectivity.
Embedded vision applications are built upon advances in vision
algorithms, embedded processing architectures, advanced circuit
technologies, and new electronic system design methodologies. They are
implemented on embedded processing devices and platforms such as field
programmable gate arrays (FPGAs), programmable digital signal
processors (DSPs), graphics processing units (GPUs), and various kinds
of heterogeneous multi-core devices. They are developed under
significant resource constraints of processing, memory, power, size,
and communication bandwidth that pose significant challenges to
attaining required levels of performance and speed, and frequently
exploit the inherent parallelism of the specialized platforms to
address these challenges. Given the heterogeneous and specialized
nature of these platforms, efficient development methods are an
important issue.
The Embedded Vision Workshop (EVW) aims to bring together researchers
working on vision problems that share embedded system characteristics.
Research papers are solicited in, but not limited to, the following
topics:
- Analysis of vision problems specific to embedded systems.
- Analysis of embedded systems problems specific to computer vision.
- Embedded computer vision for robotics
- New trends in programmable processors and their computational
models.
- Applications of and algorithms for embedded vision on standard
parallelized platforms such as GPUs (PC, embedded and mobile).
- Applications of and algorithms for embedded vision on reconfigurable
platforms such as FPGAs.
- Applications of and algorithms for embedded computer vision on
programmable platforms DSPs and multicore SoC such as the Cell
Processor.
- Applications of embedded computer vision on mobile devices including
phones.
- Biologically-inspired vision and embedded systems
- Computer vision applications distributed between embedded devices
and servers
- Social networking embedded computer vision applications
- Educational methods for embedded computer vision
- User interface designs and CAD tools for embedded computer vision
applications
- Hardware enhancements (lens, imager, processor) that impact computer
vision applications
- Software enhancements (OS, middleware, vision libraries, development
tools) that impact embedded computer vision application
- Methods for standardization and measurement of computer vision
functionality as they impact embedded computer vision
- Performance metrics for evaluating embedded systems performance.
- Hybrid embedded systems combining vision and other sensor modalities
Six of the previous Workshops on Embedded Computer Vision (ECVW) were
held in conjunction with CVPR from 2005 to 2011, except for the fifth
which was held in conjunction with ICCV2009. These events were very
successful. Selected papers workshops have been published in a special
issue of the EURASIP Journal on Embedded Systems and in a book on
Embedded Computer Vision. The Workshop is now renamed Embedded Vision
(EVW) to reflect changes in the field.
Important Dates
- Paper submission: March 09, 2012
- Notification to the authors: April 02, 2012
- Full paper amended: April 12, 2012
Organization Committee
General Chairs:
Andrew Hunter, University of Lincoln, UK
Ahmed Nabil Belbachir, AIT Austrian Institute of Technology
Program Chairs:
Margrit Gelautz, Vienna University of Technology
Branislav Kisacanin, Texas Instruments
Steering Committee:
Abbes Amira, Qatar University
Nikolaos Bellas, University of Thessaly
Boaz J. Super, Motorola Solutions
Sek Chai, SRI International