Computer Vision for Creating Sustainable Smart Cities of Tomorrow

Dear Colleagues,

Modelling complex urban systems is important for city planning, informed decision making and improving the overall quality of lives of the residents, and it involves the understanding the underlying dynamics of the cities. Computer Vision has been used in several aspects of smart cities including video analysis for surveillance and law enforcement, and in providing public services, such as parking guidance and information systems.

The recent advancements in Computer Vision algorithms and the availability of smart sensors provides opportunities for automating analysis and policymaking. Currently, deep learning and other AI models excel in tasks such as image classification and segmentation, object detection and tracking, human activity recognition, anomaly detection, summarising images and scene understanding. The integration of Computer Vision frameworks can automate several aspects of Smart City management.

We invite the submission of original research and review articles that focus on the applications of Computer Vision technology and their challenges for creating Smart Cities of tomorrow. A brief list of topics of interest (not exhaustive) of this Special Issue is provided below:

• Use of machine learning, especially the deep learning-based models, transformers and large language models;
• Creating infrastructure for supporting the movement and navigation of disabled people (including visually challenged populations) in indoor and outdoor environments;
• Human activity recognition (and anomaly detection) for supporting elderly populations, for planning, space optimisation and surveillance of residential and public places;
• The use of CCTV cameras in a multi-camera framework for tracking people across multiple views, for instance in a city-wide setting, including re-identification;
• Aiding the intelligent transportation system, including the development of smart parking technologies using Computer Vision;
• Datasets that can aid the state-of-the-art Computer Vision algorithms in the context of Smart City Development;
• Using crowdsourced visual information for Smart City Development.

Dr. Debaditya Acharya
Prof. Dr. Monica Wachowicz
Dr. Muhammad Saqib
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Smart Cities is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• smart cities

• computer vision
• deep learning
• mobility for disabled populations
• visual analytics
• visual navigation
• CCTV cameras
• elderly care
• urban digital twins
• simulation