As urban environments continue to evolve into smart and interconnected cities, aerial imaging and large-scale visual analytics are becoming increasingly central to ensuring public safety, environmental awareness, and efficient urban management. This workshop focuses on the latest advances in aerial-view understanding and synthetic-to-real transfer for surveillance and monitoring applications. In particular, it aims to bring together researchers and practitioners working on methods that leverage both real and synthetic data to enhance scene understanding, object detection, activity recognition, and anomaly detection from aerial perspectives, including data captured by drones, UAVs, and satellites.

A further aim of this workshop is to foster discussion on the challenges, limitations, and open research issues in applying aerial-view and synthetic-to-real techniques to smart city surveillance. 

We invite original research papers, case studies, and technical reports on (but not limited to) the following topics:

• Integration of traditional CCTV systems with aerial images

• Innovations in urban monitoring using aerial and satellite images

• 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 validation of surveillance algorithms

• Synthetic-to-Real domain adaptation and generalization for surveillance tasks

• Foundation models and their applicability in video surveillance and analysis

• Reducing bias and improving AI model accuracy through synthetic data strategies

• Privacy preserving model training and deployment

• Action recognition in surveillance systems

• Enabling technologies for aerial monitoring