AVSS is the premier annual international conference in the field of video and signal- based surveillance that brings together experts from academia, industry, and government to advance theories, methods, systems, and applications related to surveillance.

AVSS is sponsored by the IEEE and, in particular, by the Signal Processing Society (IVMSP TC).

The Workshop on Crowd Behavior Analysis in Smart Cities: from real-world data to digital twins will focus on the signal processing challenges in analysing potentially crowded environments, both in the real and synthetic worlds. This Workshop addresses timely and challenging problems on realizing automatic ambient intelligent systems that are able to deal with crowds from the signal processing perspective. Standard signal processing approaches are typically not suited to this kind of challenging environments and there is often the need of specific methodologies and tools.

The workshop aims to bring together researchers, practitioners and students from signal processing and surveillance-related fields to share knowledge on methodologies, features and results related to the evaluation, modeling and understanding of crowded environments and synthetic data.

We expect contributions involving, but not limited to crowd analysis applications, and synthetic data applications.

Potential topics include, but are not limited to:

●  Crowd analysis

●  Trajectory prediction

●  Crowd simulation

●  Synthetic data for crowds

●  People counting

●  Anomaly detection

●  Crowd simulators

●  Behavioral and interactions models

Important dates:

Paper Submission:

April 12, 2024

Decision to Authors:

May 10, 2024