V3SC 2025 @ ICIAP
V3SC 2025 @ ICIAP
2nd International Workshop on
Video Surveillance Systems in Smart Cities: Synthetic Images and Foundation Models for Advanced Monitoring Technologies
Scope
As urban areas grow and evolve into smart cities, the need for advanced, integrated surveillance systems becomes critical for ensuring public safety and efficient city management. This workshop aims to explore the latest technologies and methodologies for creating a cohesive surveillance ecosystem that leverages multiple data sources that can have a powerful impact on different applications, such as monitoring the crowd flow, monitoring traffic, real-time anomaly detection, behavioural analysis, fire detection and others utilising both high-altitude (from drones and satellites) and ground-level images and videos. A further aim of this workshop is to promote the study and development of this field to identify limitations, open issues and further research directions.
The workshop will focus on the integration and deployment of various surveillance technologies in smart cities. This includes traditional CCTV cameras, high-altitude systems such as drones and satellites, and advanced monitoring systems incorporating IoT sensors and AI analytics. We invite original research papers, case studies, and technical reports on (but not limited to) the following topics:
Integration of traditional CCTV systems with high-altitude surveillance technologies (drones and satellites)
Innovations in urban monitoring using drone and satellite imagery
AI and machine learning applications in smart city surveillance
Data fusion and analytics for enhanced urban security
Privacy and ethical implications of widespread surveillance
Case studies of real-world implementations of urban surveillance
Real-time monitoring: applications in traffic management and anomaly detection (e.g., fires, critical events)
Future trends and challenges in urban surveillance
Use of synthetic images for training and testing surveillance algorithms
Foundation models and their applicability in video surveillance and analysis
Challenges and opportunities in using synthetic data to reduce bias and improve AI model accuracy
Important dates
Paper Submission : 15 June 2025 22 June 2025 27 June 2025
Notifications to Authors : 30 June 2025 4 July 2025
Camera Ready Papers Due : 10 July 2025
Workshop Event : 16 September 2025
University of Sassari
Fraunhofer IGD
University of Cagliari
University of Cagliari
University of Cagliari
University of Genova
Technical Program Committee
Ahmed Abdelrahman, University of Central Florida, USA
Boloor Neha, Zoox, USA
Castrillón Santana Modesto Fernando, University of Las Palmas de Gran Canaria, Spain
Casula Roberto, University of Cagliari, Italy
Di Ruberto Cecilia, University of Cagliari, Italy
Hernández Sosa José Daniel, University of Las Palmas de Gran Canaria, Spain
Loddo Andrea, University of Cagliari, Italy
Lorenzo Navarro José Javier, University of Las Palmas de Gran Canaria, Spain
Orrù Giulia, University of Cagliari, Italy
Saumya Priya, Google, London
Zedda Luca, University of Cagliari, Italy
We are also accepting self-nomination for TPC members here
Contacts
Rita Delussu <rdelussu@uniss.it>
Naser Damer <naser.damer@igd.fraunhofer.de>
Giorgio Fumera <fumera@unica.it>
Emanuele Ledda <emanuele.ledda@unica.it>
Lorenzo Putzu <lorenzo.putzu@unica.it>
Fabio Roli <fabio.roli@unige.it>