Scene Background Modeling and Initialization Call for Papers

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CALL FOR PAPERS

Pattern Recognition Letters

Special Issue on
Scene Background Modeling and Initialization

Submission Deadline: *April 15, 2016*
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Motivations

In scene analysis, the availability of an initial background model that
describes the scene without foreground objects is the prerequisite, or at
least can be of help, for many applications, including video surveillance,
video segmentation, video compression, video inpainting (or video
completion), privacy protection for videos, and computational photography.

Few methods for scene background modeling have specifically addressed
initialization, also referred to as bootstrapping, background estimation,
background  reconstruction, initial background extraction, or background
generation. However, many challenges still remain unsolved, including
handling sudden illumination changes, night videos, low framerate, and
videos taken by PTZ cameras; thus, model learning is highly required.

The aim of this Special Issue is to bring together the works of many
experts in this multidisciplinary subject. The Special Issue serves to
highlight the advances from the perspective of the many fields involved,
as well as to further stimulate excellent fundamental and applied research
on compiling the state of the art in this subject from different
application areas.

Manuscripts making fundamental or practical contributions on scene
background modeling and initialization are solicited, including new or
revisited models, e.g., statistical, neural, fuzzy/rough, graphical,
scale-space models, and modeling via deep learning, unsupervised learning,
subspace learning, active learning, as well as benchmarking datasets, and
performance evaluation.

Authors are encouraged to test their methods on the Scene Background
Initialization (SBI) dataset
(http://sbmi2015.na.icar.cnr.it/SBIdataset.html) for the evaluation of
background initialization algorithms, that includes sequences with
corresponding reference background images and source code to compute
various performance metrics. It is strongly suggested that articles be
accompanied by online appendices containing data, demonstrations, and
software.


Deadlines

Deadline for submission:   April 15, 2016
First notification to authors:  May 30, 2016
Deadline for submission of the revised papers:  July 31, 2016
Final notification to authors:  September 30, 2016

Submission Format

Papers will be evaluated based on their originality, presentation,
relevance and novelty, as well as their suitability to the special issue,
and for their overall quality, giving preference to those with
accompainying data, demo, and software. All submitted papers will be
strictly peer-reviewed; revised papers that receive a major revision
recommendation will be rejected. Author guidelines for preparation of
manuscript can be found at

http://www.elsevier.com/journals/pattern-recognition-letters/0167-8655/guide-for-authors.


Submission Guidelines

Manuscripts and any supplementary material should be submitted through the
Pattern Recognition Letters website (http://ees.elsevier.com/patrec). The
authors must select ?'SI: SBMI'? when they reach the ?Article Type? step in the submission process.


Guest Editors

Alfredo Petrosino (Lead Guest Editor)
University of Naples Parthenope, Naples, Italy
alfredo.petrosino@uniparthenope.it

Thierry Bouwmans
Université de La Rochelle, La Rochelle, France
thierry.bouwmans@univ-lr.fr

Lucia Maddalena
National Research Council, Naples, Italy
lucia.maddalena@cnr.it