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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by Web of Science / Conference Proceedings Citation Index, DBLP, EI and SCOPUS.


USA 2014Special Session on Urban Scene Analysis: interpretation, mapping and modeling
Chair(s): Ahmad Kamal Aijazi, Paul Checchin and Laurent Trassoudaine

Special Session on Urban Scene Analysis: interpretation, mapping and modeling - USA 2014

Paper Submission: December 17, 2013 (expired)
Authors Notification: January 10, 2014 (expired)
Camera Ready and Registration: January 22, 2014 (expired)


Ahmad Kamal Aijazi
Pascal Institute, Université Clermont Auvergne
Paul Checchin
Pascal Institute, Blaise Pascal University
Laurent Trassoudaine
Pascal Institute, Blaise Pascal University

Interpreting and extracting useful information from urban environments are gaining widespread interest among researchers. Besides urban landscape analysis and realistic modeling for applications like Google earth, Street map viewer, considerable research is undertaken, interpreting urban scenes for perception tasks related to autonomous vehicle navigation, driving assistance, search and rescue operations, security analysis and scene understanding. However, analyzing urban environments from aerial, space-borne and ground-based sensors remains a huge challenge due to varying conditions, handling large datasets acquired by increasingly accurate sensors and the presence of numerous natural and man-made objects including vegetation, roads, cars, buildings but also pedestrians. Although highly specialized, this topic unites scientific communities (e.g. GIS, Computer Science, Computer Vision and Robotics) exploring theories and applications related to sensors and data acquisition techniques, feature extraction, segmentation and classification, pattern recognition and analysis, mapping and modeling, etc.