[visionlist] Special Issue on "Background Modeling for Foreground Detection" @ Machine Vision and Applications

[Jordi Gonzalez]

Call for Papers:

Special issue on: Background Modeling for Foreground Detection in real-world dynamic scenes
Journal: Machine Vision and Applications

Dear colleagues,

Conventional foreground detection exploits change detection in video sequences. Some algorithms have 
used frame difference, but the most common approach is background subtraction that detects moving 
objects or abandoned objects in video sequences taken from a fixed camera. The last decade
witnessed very significant publications on background subtraction but recently new applications in 
which background is not static, such as recordings taken from mobile devices or Internet videos, 
need new developments to detect robustly moving objects in challenging environments. Thus, effective 
methods for robustness to deal both with dynamic backgrounds, illumination changes in real scene 
with fixed cameras or mobile devices are needed and so different strategies may be used such as 
automatic feature selection, model selection or hierarchical model.

Manuscripts are solicited to address a wide range of mathematical tools, strategies, sensors
and real-time implementation including but not limited to the following:

- Statistical models for background modeling: Extensions of well-known statistical models,
reconstructive and discriminative subspace learning models, support vectors models/
- Clustering models for background modeling
- Fuzzy models for background modeling
- Geometric approaches for foreground detection
- Model-based and Physics-based approaches to foreground detection
- Foreground detection in moving backgrounds (Internet videos)
- Speeding-up foreground detectors (GPUs)
- Real-time methods applied to mobile platforms
- Multiresolution processing
- Sensor fusion for foreground detection
- Feature selection.

The authors are invited to submit fundamental papers in this field, and they can use the
SABS (http://www.vis.uni-stuttgart.de/index.php?id=sabs) dataset, the ChangeDetection.net 
(http://www.changedetection.net/) dataset and, BMC (http://bmc.univ-bpclermont.fr/)  dataset with 
their validation scheme.

Before submission, authors should carefully read over the journal's Author Guidelines, which
are located at:

http://www.springer.com/computer/image+processing/journal/138

Prospective authors should submit quality and original manuscripts that have not appeared, nor are
under consideration, in any other journals. The electronic copy of their complete manuscript (10-
15 pages in the Machine Vision and Applications publication format) should be submitted
through the journal manuscript tracking system at the web site: 
http://www.editorialmanager.com/mvap/ indicating that their contribution is for the special issue 
“Background Modeling for Foreground Detection in Challenging Conditions”. All papers will be 
reviewed by at least three expert reviewers in relevant fields. Decision will be made based on the 
novel scientific and technical contribution and their suitability to the scope of this MVA special 
issue.

Timeline:

Submission deadline: Dec. 30, 2012
Notification of acceptance: April. 30, 2013
Final manuscript due: Sept. 30, 2013
Tentative publication date: Dec. 30, 2013

Guest Editors:

Thierry Bouwmans, Univ. La Rochelle, France. Email: tbouwman at univ-lr.fr
Larry Davis, University of Maryland, USA.
Jordi Gonzalez, Univ. Autònoma de Barcelona and Computer Vision Center, Spain.
Massimo Piccardi, University of Technology Sydney, Australia.
Caifeng Shan, Philips Research, Netherlands.