Computer Vision for Security Applications, 2nd Edition
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 18
Special Issue Editors
Interests: computer vision (feature extraction and pattern analysis); scene and event understanding (by people and/or vehicles and/or objects); human–computer interaction (pose estimation and gesture recognition by hands and/or body); sketch-based interaction (handwriting and freehand drawing); human–behaviour recognition (actions, emotions, feelings, affects, and moods by hands, body, facial expressions, and voice); biometric analysis (person re-identification by body visual features and/or gait and/or posture/pose); artificial intelligence (machine/deep learning); medical image analysis (MRI, ultrasound, X-rays, PET, and CT); multimodal fusion models; brain–computer interfaces (interaction and security systems); signal processing; visual cryptography (by RGB images); smart environments and natural interaction (with and without virtual/augmented reality); robotics (monitoring and surveillance systems with PTZ cameras, UAVs, AUVs, rovers, and humanoids)
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; machine learning; deep learning; algorithms for intelligent monitoring of the environment through drones; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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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Keywords
- drone patrolling
- distributed smart cameras for person re-identification
- image analysis for action recognition
- machine/deep learning models in surveillance systems
- automatic scene understanding
- skeleton-based methods for person re-identification
- methods and models for affect recognition
- soft and hard biometrics
- soft computing for visual security applications
- application of 3D vision in security
- image sensor fusion
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Related Special Issue
- Computer Vision for Security Applications in Information (16 articles)
