[visionlist] [Information] Paper Invitation: Special Issue on “Computer Vision for Security Applications”

[Daniele Pannone]

[Our sincere apologies if you receive multiple copies of this announcement]

As Guest Editors, we cordially invite you to submit a manuscript for
consideration and possible publication in a Special Issue on "*Computer
Vision for Security Applications*" to be published in the journal
Information (http://www.mdpi.com/journal/information/, ISSN 2078-2489), an
*EI*, *Scopus*, *DBLP*, et al. indexed, open access journal.

*The manuscript submission deadline is 1 October 2021*. Anyway, despite the
deadline date, each paper will be reviewed and processed as soon as it is
received. The Special Issue on “*Computer Vision for Security
Applications*” is focused on each and every aspect regarding automated
security systems. In fact, the latter are gaining ever-increasing interest
for both indoor and outdoor applications as a consequence of technological
advances in acquisition devices. Specifically, video sequences, as well as
static images, are exploited to obtain innovative solutions to heterogenous
problems such as area surveillance and affect recognition. In particular,
these applications are also employed in real-life security scenarios,
including Unmanned Aerial Vehicles (UAVs), disaster monitoring, train
stations and airports, in multi-view camera surveillance for human action
recognition, and high-stakes situations (e.g., interrogations and court
trials) that affect recognition, highlighting the importance of reliable
and well-performing systems. Moreover, while computer vision has
significantly benefited from deep learning algorithms and neural networks,
well-known issues afflicting automated video-based security applications,
such as different viewing angles, illumination changes, background clutter,
occlusions, and long-term re-identification still remain open. Therefore,
innovative solutions are required to further advance the available systems
for their employment in real-life contexts.

This Special Issue is concerned with ground-breaking approaches addressing
common issues of computer vision-based methods, with a particular emphasis
on security applications with static and PTZ cameras, including action
recognition, affect recognition, deception detection, person and vehicle
re-identification, background modelling and foreground detection, and many
others; UAVs, AUVs/ROVs, Rovers, including land monitoring, areas of
interest surveillance, search and rescue, SLAM applications, target
searching, and many others. Also surveys and/or comparative studies of
security applications and/or methods are welcome. For more details please
visit the special issue website:
https://www.mdpi.com/journal/information/special_issues/cv_security_applications

Information is fully open access. Open access (unlimited and free access by
readers) increases publicity and promotes more frequent citations, as
indicated by several studies. Open access is supported by the authors and
their institutes. An Article Processing Charge (APC) of 1400 CHF currently
applies to all accepted papers. You may be entitled to a discount if you
have previously received a discount code or if your institute is
participating in the MDPI Institutional Open Access Program (IOAP), for
more information see: http://www.mdpi.com/about/ioap.
We are looking forward to hearing from you.
With kind regards,

*Guest Editors*
Prof. Danilo Avola
Prof. Daniele Pannone
Dr. Alessio Fagioli
Department of Computer Science, Sapienza University of Rome (Italy)

-- 

*Daniele Pannone*
Assistant Professor
Department of Computer Science
Sapienza University of Rome

pannone at di.uniroma1.it <daniele.pannone at uniroma1.it> |
http://visionlab.di.uniroma1.it |
| Via Salaria 113, third floor, room 316 | Phone: +39 06 8576 8425
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