SPUC 2016 - Symposium on Signal Processing for Understanding Crowd Dynamics

The Symposium on Signal Processing for Understanding Crowd Dynamics will focus on the signal processing challenges in analyzing potentially crowded environments. This Symposium 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 symposium 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.
This symposium focuses on underlying theory, methods, systems, and applications of crowd analysis and understanding and invites submissions in areas listed below.
Submissions are welcome on topics including:
Video analytics algorithmsCognitive dynamic systemsBio-inspired techniquesSimulation toolsHeterogeneous systems for signal processingInteraction modelingCrowd emotion sensingCrowd behavior modelingGraph signal processingDeep learningBig data analysisConvolutional neural networksCompressive sensing