CVIU-BMVC 2013 - Special Issue for Computer Vision and Image Understanding on Background Models Comparison

We are organizing a special issue in the journal Computer Vision and Image Understanding. This Special Issue on Background Models Comparison is proposed directly in the continuity of this workshop. The main topics are:
detection of moving objects, motion estimation ;
background modeling and maintenance, foreground detection ;
signal, image, video processing ;
image segmentation and classification ;
intelligent video-surveillance.
Guest Editors
Antoine Vacavant, ISIT lab, CNRS/Univ. d'Auvergne, Clermont-Ferrand, France, antoine.vacavant_AT_udamail.fr
Laure Tougne, LIRIS lab, CNRS/Univ. Lumière Lyon2, Lyon, France, laure.tougne_AT_univ-lyon2.fr
Lionel Robinault, Foxstream company, Vaulx-en-Velin, France, l.robinault_AT_foxstream.fr
Thierry Chateau, Pascal
Institute, CNRS/Univ. Blaise Pascal, Clermont-Ferrand, France,
thierry.chateau_AT_lasmea.univ-bpclermont.fr
Important Dates
First call for papers: January, 25th 2013
EES system opens for submission: February, 4th 2013
Submission of article, Excel file and code: April, 1st 2013
Notification to authors: July, 15th 2013
Submission of revised articles: October, 14th 2013
Final decision: December, 16th 2013
Submission Guidelines
This is an open call-for-papers from outside the BMC 2012 workshop, though participants of the workshop was invited to submit a paper of their contribution. All submitted papers will be reviewed according to the guidelines and standards of CVIU. Only original, high-quality papers, in-line with the CVIU standard guidelines, will be considered for publication in this special issue. Submissions will be judged by their contributions to the special issue topics, clarity of presentation, potential impact to the field, and suitability to publication in an archival journal. All articles must be submitted electronically through the Elsevier CVIU website by selecting "BMC" as the type of article, and authors must use the detailed guidelines for CVIU articles.
Moreover, authors have to submit an Excel file gathering all the scores obtained thanks to the BMC workshop dataset (see How to Compete), and binary images computed with their algorithm. The guest editors will choose which frames authors will have to present for the challenge. The evaluation of algorithms will be twofold: (1) objective evaluation thanks to the scores; (2) subjective evaluation by editors thanks to the images obtained from algorithms.
Finally, we propose to authors to send an OpenCV program of their algorithm. The best techniques will be included into the OpenCV library. We will also be able to evaluate the execution time and memory requirement thanks to the code submitted.
http://bmc.univ-bpclermont.fr/?q=node/11