Computer Vision for Security Applications, 2nd Edition

Dear Colleagues,

The MDPI journal Information welcomes submissions to a Special Issue entitled “Computer Vision for Security Applications, 2nd Edition”.

The application of automated security systems in both indoor and outdoor contexts is receiving enhanced interest as a consequence of technological advances in acquisition devices. Specifically, video sequences, as well as static images, are used 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, multi-view camera surveillance for human action recognition, and high-stakes situations (e.g., interrogations and court trials) that affect recognition. This highlights the importance of reliable and well-performing systems. Moreover, while computer vision has been significantly enhanced by deep learning algorithms and neural networks, various issues afflicting automated video-based security applications, such as different viewing angles, illumination changes, background clutter, occlusions, and long-term re-identification, remain unresolved. Therefore, innovative solutions that improve the available systems for their employment in real-life contexts are required.

This Special Issue aims to present ground-breaking approaches that address the common issues associated with computer vision-based methods, with a particular emphasis on security applications.

Dr. Danilo Avola
Dr. Daniele Pannone
Guest Editors

Manuscript Submission Information

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