IEEE OTCBVS 2007
Organizer & Workshop Chair:
Riad I. Hammoud
Proceedings & Website Chair:
James W. Davis
James W. Davis
Stan Z. Li
Barbara Lynn O'Kane
Nitin M. Vaidya
Lawrence B. Wolff
Object Tracking and
Classification in and
Minneapolis, MN, USA, Friday, June 22, 2007
In conjunction with IEEE CVPR 2007
[Preface] [Concluding Remarks]
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
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 traditional applications of visible and non-visible imagery.
In this fourth annual meeting of the OTCBVS workshop series, a benchmark/test dataset of images and videos recorded in and beyond the visible spectrum is available:
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.
Comparative evaluation studies across the non-visible spectrum for a given computer vision or pattern recognition task are encouraged. Applications using non-visible sensors from various domains are welcome. Sensors of interest include visible, infrared, millimeter wave, radar, and hyper-spectral. The topics of OTCBVS'07 include:
Other topics dealing with
non-visible sensors are welcome. The object category includes, but is not
limited to eye, face, vehicle occupant, pedestrian, vehicle, landmine,
ship, airplane, and missile.
Sponsorship & Best Paper Award:
4th IEEE OTCBVS workshop is sponsored by IEEE and Delphi Electronics &
Safety. In order to encourage high-quality paper submissions, these
sponsors will award the best two papers presented at the workshop.
Dephi will cover the expenses of the keynote speaker. The
workshop will have its own printed proceedings, which will be distributed
to all workshop attendees.
The first, second
and third meeting
of this workshop series were successfully organized in conjunction with
2004, 2005 and 2006 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.
[Submission is closed]
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 5MB. 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 2007 Author Instructions page for detailed guidelines, and all accepted papers should follow the instruction of the final submission of CVPR2007.
After paper submission, the copyright form must be signed and mailed to Dr. Guoliang Fan at the following address:
Simultaneous submission of the paper and copyright forms doesn't mean your
paper will be automatically accepted. It is because that the faxes and emails
of the copyright form are no longer acceptable to the IEEE Computer Society
and we have only one week to collect all requirement documents after
the acceptance announcement. Thank you for your cooperation.)