Call for papers: Role of computer vision in smart cities - Applications and research challenges [1158T]

Aims & Scope

Internet of Things (IoT) is a system of interrelated computing devices such as sensors, RFID tags, robots, and smartphones, etc. aimed at interacting and communicating data over a network. Smart devices can perceive the environment, collect data, and communicate with the physical world by using internet services. As smart devices continue to grow, municipalities around the world are turning to the IoT innovation methods for improved services delivery, cost reduction, and enhanced communication and interaction. Smart cities will not only create sustainable economic development but will also improve a country’s economy, environment, and living standards.

Computer vision is an area of artificial intelligence aimed at acquiring, processing and analyzing digital images. In the past, computer vision applications were limited to closed platforms. However, IP convergence and connectivity technologies lied to the creation of a new set of applications and technologies. This led to a rise of IoT and smart cities related innovations and technologies where connecting devices aggregate vision-based data to build high-performance big data platforms.

Nowadays, computer vision equipped with modern technologies such as deep learning has the potential to demonstrate its possibilities beyond the surveillance and law enforcement purposes. It is true that its first use has been mainly motivated by security reasons. From the autonomous vehicles to the interactive and intelligent architectures, groundbreaking applications open new ways to contribute to goals of smart cities concepts. These include a wide range of solutions in e-health care, intelligent transportation, surveillance, vehicle identification and tracking, smart parking, crowd density, and monitoring, etc. This special issue aims to provide a platform to research community and professionals to demonstrate solutions and address research challenges in the development of smart cities through the use of computer vision. Further, diffusion of computer vision in smart cities will open new horizons and research domains that may be of interest of the readers and researchers community. 

This Special Issue aims at publishing high-quality manuscripts covering new research on topics related to computer vision and smart cities, including but not limited to the following:

  • Video surveillance in smart cities
  • Visual tracking in crowded scenes
  • Crowd behavior analysis using image processing
  • Smart parking in smart cities
  • Vehicle license plate recognition
  • Traffic monitoring and violation detection in smart cities
  • Electronic Health Record in smart cities
  • Biometrics
  • Urban area mapping and navigation

Lead Guest Editor

Ubaid Abbasi, GPRC, Grande Praire, Canada

Guest Editors

Irfan Mehmood, Faculty of Engineering & Informatics, School of Media, Design and Technology, University of Bradford, UK 

HuanSheng Ning, School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), China

Important Dates/Tentative schedule

Submission deadline: extended to 31 July 2020
Notification to the authors: 30 September 2020

Submission Guidelines 

Authors should prepare their manuscript according to the Instructions for Authors available from the Multimedia Tools and Applications website. Authors should submit through the online submission site at and select “SI 1158T - Role of Computer Vision in Smart Cities: Applications and Research Challenges” when they reach the “Article Type” step in the submission process. Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process