IEEE OTCBVS 2008
Organizer & Workshop Chairs:
Riad I. Hammoud
Delphi
Electronics & Safety
World Headquarters, IN, USA
riad.hammoud@delphi.com
Lawrence Wolff
Equinox Corporation
wolff@equinoxsensors.com
Guoliang Fan
Oklahoma State University, USA
glfan@okstate.edu
Benchmark Chair:
James W. Davis
Ohio
State University, USA
jwdavis@cse.ohio-state.edu
Program Committee
Besma Abidi
U of
Tennessee, USA
Gregory Baratoff
SiemensVDO
Automotive, Germany
George Bebis
U of
Nevada, USA
Bir Bhanu
U of
California, Riverside, USA
Nizar Bouguila
Concordia University, Canada
Alberto Broggi
Universita
di Parma, Italy
James W. Davis
Ohio
State University, USA
Larry Davis
U of
Maryland, USA
Guoliang Fan
Oklahoma State University, USA
Riad Hammoud
Delphi
E&S, USA
Katsushi Ikeuchi
IIS, U
of Tokyo, JAPAN
Stan Z. Li
Center for Biometrics and
Security Research & NLPR, CHINA
Swarup Medasani
HRL
Laboratories, CA, USA
Robert McMillan
U.S.
Army Space & MDC, USA
Gerard Medioni
U of
Southern California, USA
Nasser Nasrabadi
Army
Research Lab, USA
Barbara Lynn O'Kane
US
Army Night Vision Lab, USA
J.-M. Odobez
University
of Maine, Le Mans, FRANCE
Ioannis Pavlidis
U of Houston, USA
Ali Pezeshki
Princeton
University, USA
Fatih Porikli
Mitsubishi Electric Research Lab
Firooz Sadjadi
Lockheed
Martin Corp, USA
Andrea Salgian
The
College of New Jersey, USA
Diego Socolinsky
Equinox
Corporation, USA
Mubarak Shah
U of
Central Florida, USA
Mohan Trivedi
U of
California, San Diego, USA
Nitin M. Vaidya
Millivision
Technologies, USA
Lawrence Wolff
Equinox Corporation
Djemel Ziou
U of
Sherbrooke, Canada
Sponsors:
Object Tracking and
Classification in and
Beyond the Visible
Spectrum
(OTCBVS'08)
Anchorage, Alaska, June 27, 2008
In conjunction with IEEE CVPR 2008
[Call
for Papers] [Scope] [Topics]
[Important Dates] [Paper Submission] [Final Program]
[Preface] [Keynote Talk] [Best Papers] [Photos]
| Submission of Papers: | March 15, 2008 (extended to March 17) | |
| Notification to Authors: | April 14, 2008 | |
| Revised Submission Due: | April 28, 2008 | |
| OTCBVS Workshop: | June 27, 2008 | |
The scope of Object Tracking and Classification Beyond the Visible Spectrum workshop series encompasses many disciplines, including infrared, far infrared, millimeter wave, microwave, radar, and synthetic aperture radar sensors as well as the very dynamic topics of signal processing, computer vision, and pattern recognition. It is a fertile area for growth in both analysis and experimentation and includes both civilian and military applications. The availability of ever improving computer resources and continuing improvement in sensor performance has given great impetus to this field of research. This technology "push" has been balanced by a technology "pull" resulting from increasing demand from potential users of this technology including both military and civilian entities as well as needs arising from the growing field of Homeland Security.
The original tentative of the vision community has been focused mostly on the development of vision algorithms for object detection, tracking, and classification associated with visible range sensors in day and office-like environments. In the last decade, infrared, thermal and other non-visible imaging sensors were used only in special areas like medicine and military. That lower interest level in infrared imagery was due in part to the high cost of non-visible range sensors, low image resolution, high image noise, lack of widely available data sets, and lack of consideration of the potential advantages of non-visible lights. These historical objections are becoming less relevant as infrared imaging technology advances and their cost is dropping dramatically. Image sensing devices with high dynamic range and high IR sensitivity have started to appear in a growing number of applications ranging from military and automotive domains to home and office security applications.
In order to develop robust and accurate vision-based systems that operate in and beyond the visible spectrum, not only existing methods and algorithms originally developed for the visible range should be improved and adapted, but also entirely new algorithms that consider the potential advantages of non-visible ranges are certainly required. The fusion of visible and non-visible ranges, like radar and IR images, or thermal and visible spectrum images, is another dimension to explore for a higher performance of vision-and-signal based systems. The non-visible light is widely employed in night vision-based systems, and many detection and recognition systems available today in the market are relying on physiological phenomena produced by IR and thermal wavelengths. Using artificial controlled lights is a practical solution to eliminate challenging ambient light effects.
This series of OTCBVS workshop creates connections between different communities in the machine vision world ranging from public research institutes to private, military, and medical laboratories. It brings together pioneering academic, industrial and military researchers and engineers in the field of computer vision, image analysis, pattern recognition, signal processing, sensors, and human-computer interaction.
Special attention will be given to vision
algorithms where non-visible sensors are employed. However, we also
encourage the submission of high quality papers that deal with object
tracking and classification in the visible spectrum. Additionally,
emphasis will be placed on new and non-traditional applications of visible
and non-visible imagery.
In this second annual meeting of OTCBVS, a
benchmark/test dataset of images and videos recorded in and beyond the
visible spectrum is available (http://www.cse.ohio-state.edu/otcbvs-bench/).
The dataset is to be used to compare, evaluate, and adapt state-of-the-art
computer vision algorithms. It will fill out the lack of experimental
non-visible data in the vision community, and will allow a large spectrum
of CVPR participants to explore the benefits of the non-visible spectrum
in real-world applications, and contribute to OTCBVS workshop series. We
also invite people to participate in the extension of this dataset.
Algorithms
-
Target classification
-
Feature extraction and matching
-
Automatic object detection
-
Object tracking
-
Face recognition in IR & thermal images
Sensors
-
Smart systems/sensors
-
Combining visible & non-visible signals
-
Information fusion from disparate sensors
-
Enhanced detection/tracking/recognition performance using fusion
-
Vision augmentation enabling system concepts and components
Applications
-
Medical applications
-
Military application
-
Automotive applications
-
Driver vision enhancement systems
-
Avionics systems with augmented vision
Sponsorship & Best Paper Award:
To be announced
soon.
Past Meetings:
The first, second
and third meeting
of this workshop series were successfully organized in conjunction with
2004, 2005, 2006 and 2007 IEEE CVPR conferences. More details about the programs,
attendees, and papers can be found at these web pages:
Please send your questions about this work shop to the Workshop Chairs.
The paper submission site is now open that is the Microsoft CMT submission system. The submission is electronic, and must be in PDF format. Papers should not exceed 8 double-column pages or exceed 2MB. The paper format must follow the standard IEEE 2-column format of single-spaced text in 10 point Times Roman, with 12 point interline space. All paper submissions must be anonymous. See CVPR 2008 Author Instructions page for detailed guidelines.