IVSGS 2014 - Special Issue on Intelligent Video Surveillance in Crowded Scenes

Editor-in-Chief: Belur V. Dasarathy, Ph. D, FIEEE
belur.d-AT-gmail.com, http://belur.no-ip.com, (http://belur.tripod.com)
The Information Fusion Journal is planning a special issue on Intelligent Video Surveillance in Crowded Scenes that exploits the concepts and techniques in the information fusion domain. With the rapidly growing of Internet and storage capacity, IPbased video monitoring systems have become popular applications. As network video technology has improved, the cost of installing a surveillance system has dropped significantly, leading to an exponential increase in the use of security cameras.
Traditional CCTV requires lots of operators to continuously monitor a significant number of cameras in areas, such as military installations, roads, and airports that need security. On the contrary, intelligent surveillance systems with a relative few operators can provide automated services, such as abrupt intrusion detection, robbery monitoring, population (people) counting, and loitering detection.
In addition, visual surveillance tasks become extremely difficult in crowded and complicated scenes. Most of the existing activity analysis approaches are expected to fail in these scenes. Such systems should be robust and adaptable enough to cope with changes in environment like lighting, scene geometry or scene activity.
This special issue aims at putting together recent advances in visual surveillance applications which explicitly demonstrate the role of Information fusion concepts and techniques spanning the areas of computer vision, pattern analysis, imaging sensors, and computational intelligence.
Manuscripts (which should be original and not previously published either in full or in part or presented even in a more or less similar form at any other forum) covering original previously unpublished research in theory, algorithmic development and system architecture that clearly delineate the role of information fusion in the context of intelligent video surveillance systems are invited. Absolutely no cut and pastes from prior publications (of text and/or figures or tables or other illustrations) will be permitted. This is a mandatory requirement. All such reproduced material should be excluded by generous use of citations to the relevant prior publications wherever necessary within the text of the Journal submission. Such related papers should also be submitted online along with the m/s designating them as companion files. (Please note that all submissions will be evaluated for overlap with published literature using I-thenticate or similar software and high scores may result in the manuscript being rejected without formal review.)
The manuscript will be judged solely on the basis of new contributions excluding the contributions made in earlier publications. Contributions should be described in sufficient detail to be reproducible on the basis of the material presented in the paper and the references cited therein.
Topics appropriate for this special issue include, but are not necessarily limited to:
Review of recent advances in visual surveillance
Distributed multi-sensor visual surveillance systems
Multi-camera cooperative tracking
Activity analysis and monitoring
Multi-sensor image fusion
Computational intelligence
Behavior analysis and event detection
Long-range visual surveillance
Imaging beyond the visible spectrum
Motion trajectory analysis
Crowded scenes analysis
Foreground detection and motion tracking
Object (face, pedestrian) identification and re-identification
Fusion of vision with other sensing modalities
System & performance (research prototypes, hardware & software architectures, performance evaluation)
Other related topics (privacy policies, user requirements, economics of video surveillance)
Manuscripts should be submitted electronically online at http://ees.elsevier.com/inffus. The corresponding author will have to create a user profile if one has not been established before at Elsevier.
Guest Editor(s)
Prof. Seungmin Rho, smrho-AT-sungkyul.edu, Sungkyul University, Korea
Prof. Wenny Rahayu, W.Rahayu-AT-latrobe.edu.au, La Trobe University, Australia
Prof. Uyen Trang, utn-AT-cse.yorku.ca, York University, Canada.
Deadline for Submission: January 31, 2014