Real-Time Image and Video Processing for Unmanned Aerial Surveillance and Security

in Special Issue   Posted on January 25, 2021 

Information for the Special Issue

Submission Deadline: Tue 15 Jun 2021
Journal Impact Factor : 0.893
Journal Name : Journal of Signal Processing Systems
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

Recently, unmanned aerial vehicle technology has grown in importance for reconnaissance and surveillance to simplify and make human life easy and convenient with real-time image and video processing. Unmanned Aerial Surveillance has widely been used in various military and civilian applications, including agriculture, search operation, rescue mission, resource exploration, remote sensing, wildfire, aerial photography, object detection, target tracking, surveillance, oil spill detection, etc. The aerial vehicle provides a bird’s eye view that can be used and stimulated anywhere at any time. The aerial vehicle is equipped with special sensors (enable day/ night) to acquire high-quality real-time images and videos, transmitted to a ground control station via radio link for analysis, processing, and data interpretation. Different image and video processing techniques can be applied to sensor data in real-time to support various analysis and tasks related to it. These algorithms are used to improve data acquisition for detecting events or objects and interpret those detections.

Unmanned aerial vehicles (UAV) gain significant popularity and acceptance in various areas due to their agility and versatile characteristics. Recently, UAV-based embedded real-time high-quality image and video processing for smart monitoring and surveillance in the era of artificial intelligence (AI), loud computing, Internet of Things (IoT), and Big Data gain significant attention from various industry experts, research scholars, and academicians.  The integration of the UAV-based embedded systems with the latest technologies enable smart communication, fast computation proficiencies, and efficient controlling modules that build a closed-loop of a network from information perceiving, data exchanging, decision-making to the ultimate execution.

This special issue is intended to provide an effective platform to represent recent advancements in the field of real-time image and video processing for aerial vehicle surveillance. The ultimate objective is to bring well-focused and top-quality research articles for making human life tasks convenient with real-time UAV using various technologies. We invite researchers and professionals to submit their research articles to explore the recent trends in aerial vehicle surveillance. 

The following topics include but not restricted:

  • Aerial surveillance based on real-time image and video processing using AI for wildfire detection.
  • Flood detection using infrared image analysis with aerial vehicle surveillance. 
  • Airborne traffic surveillance and monitoring with Big Data integrated cloud technology. 
  • Aerial vehicle surveillance in agriculture applications using cloud/fog architecture.  
  • Real-time data analysis based on aerial vehicle surveillance for multimedia application. 
  • Machine learning-based Smoke detection for aerial surveillance using IoT technology.
  • UAV based image surveillance for real-time object detection.
  • UAV assisted intelligent techniques based on video processing. 
  • UAV integrated IoT platform for crowd surveillance.
  • Forest fire detection based on real-time image and video processing for aerial vehicle surveillance.
  • Aerial surveillance for vehicle tracking in crowded areas using AI.  
  • UAV based border security surveillance based on real-time image and video processing using an intelligent algorithm.
  • Big Data analysis of vehicle flow in real-time aerial vehicle surveillance for traffic management.

Tentative Special Issue Timeline:

Manuscript Submission Deadline: 15, June 2021

Authors Notification Date: 27, July 2021

Revised Papers Due Date: 10, September 2021

Final notification Date: 15, November 2021

Guest Editor Details:

Lead Guest Editor: Dr. Tu Nguyen

Assistant Professor,

Department of Computer Science,

Purdue University Fort Wayne,

Fort Wayne, USA.

Email: [email protected]

Dr. Tu Nguyen is currently an Assistant Professor with the Department of Computer Science, Purdue University Fort Wayne, and Fort Wayne, IN, USA. He received the Ph.D. degree in electronic engineering from the National Kaohsiung University of Science and Technology (formerly, National Kaohsiung University of Applied Sciences), Kaohsiung, Taiwan, in 2016. He was a Postdoctoral Associate with the Department of Computer Science & Engineering, University of Minnesota—Twin Cities in 2017. Prior to joining the University of Minnesota, He joined the Missouri University of Science and Technology as a Postdoctoral Researcher in the Intelligent Systems Center in 2016. His research interests include design and analysis of algorithms, network science, cyber-physical systems, and cyber security. He is currently an Associate Editor for IEEE ACCESS and EURASIP Journal on Wireless Communications and Networking (2017-present). He is also on the Editorial Board of the Cyber security journal, Internet Technology Letters (2017—present), International Journal of Vehicle Information and Communication Systems (2017—present), International Journal of Intelligent Systems Design and Computing (2017—present), and IET Wireless Sensor Systems (2017—present). He was a TPC Chair for the NAFOSTED Conference on Information and Computer Science (NICS) 2019, SoftCOM (25th), and EAI International Conference on Context-Aware Systems and Applications (ICCASA) 2017, a Publicity Chair for International Conference on Awareness Science and Technology (iCAST) 2017 and BigDataSecurity 2017, and a Track Chair for ACT 2017. He is an IEEE Senior member and was also a technical program committee member for more than 70 premium conferences in the areas of network and communication such as IEEE International Conference on Computer Communications (INFOCOM), Globecom, IEEE International Conference on Communications (ICC), and IEEE International Conference on RFID (RFID).

First Co- Guest Editor: Dr. Nam P. Nguyen

Associate Professor,

Department of Computer & Information Sciences,

Towson University,

United States.

Email: [email protected]

Google Scholar:

Dr. Nam P. Nguyen is currently working as an Assistant Professor in the Department of Computer and Information Sciences, Towson University. He received his PhD degree in Computer Science from the University of Florida in 2013. Prior to his PhD, he got his M.S. and B.S. from Ohio University (in 2009) and Vietnam National University (in 2007). Nguyen’s research interests focus on Network Structure Analysis, Big Data, and Social-aware Information Mining, Cyber Security, and Practical Mobile Computing applications. Nguyen has published over 30 research papers in major conferences and journal. He has served as an Associate Editor of Springer’s Computational Social Network journal, the TPC Co-chair for CSoNet 2015 and as a TPC member for many research conferences including IEEE INFOCOM’16 and MSN’14 – 15. Nguyen is also the reviewer for IEEE Trans. on Distributed Computing (TPDS), Trans. on Networking (TON), Trans. on Service Computing, etc. In 2015, Nguyen served as a panelist for the National Foundation of Science, USA. His research areas include Complex Network Analysis, Mobile Computing, Social Data Analysis and Data Mining.

Second Co- Guest Editor: Dr. Claudio Savaglio

Department of Computer Science, Modeling,

Electronics and Systems Engineering (DIMES),

University of Calabria, Italy.

Email: [email protected]

Google Scholar:

Dr. Claudio Savaglio received the PhD degree in Computer Engineering from the University of Calabria, Italy, in 2018. Since 2013, he has international collaborations, having spent there several months as Visiting Scholar, with University of Texas and New Jersey Institute of Technology, USA, and with Universitat Politècnica de València, Spain. He is involved in several research projects on IoT, including H2020 Inter-IoT and ACOSO. He is IEEE member since 2016. He is author of more than 30 papers in international journals, conferences, and book chapters. His research interests are focused on development methodologies for autonomic and cognitive Internet-of-Things ecosystems and Edge Computing.

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