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SP-CROWD 2017 : Workshop on Signal Processing for Understanding Crowd Dynamics


When Aug 29, 2017 - Aug 29, 2017
Where Lecce, Italy
Submission Deadline May 10, 2017
Notification Due May 31, 2017
Final Version Due Jun 12, 0207
Categories    signal processing   video analysis   crowd behavior   deep learning

Call For Papers

The Workshop on Signal Processing for Understanding Crowd Dynamics (in conjunction with IEEE AVSS 2017) will focus on the signal processing challenges in analyzing potentially crowded environments.

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 its two societies, the Signal Processing Society (IVMSP TC) and the IEEE Computer Society (PAMI TC).

The Workshop on Signal Processing for Understanding Crowd Dynamics 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.

This workshop focuses on underlying theory, methods, systems, and applications of crowd analysis and understanding and invites submissions in areas listed below. The list of topics of interest includes, but is not limited to:

Video analytics algorithms
Cognitive dynamic systems
Bio-inspired techniques
Simulation tools
Heterogeneous systems for signal processing
Interaction modeling
Crowd emotion sensing
Crowd behavior modeling
Graph signal processing
Deep learning
Big data analysis
Convolutional neural networks
Compressive sensing
Multimedia and multi-modal analysis

Paper submission

Papers must be written in English and submitted in PDF format, each submission must be between 4 and 6 A4 pages long.

Each submission will be double-blindly peer-reviewed by at least two experts. This requires the paper to be anonymous, please read the instructions included in the paper templates.

All papers must be submitted via the SP-CROWD2017 submission site (Microsoft CMT). Deadline is April 30th, at 23:59:59 PST. For any question email to

A paper submission implies that, if the paper is accepted, one of the authors, or a proxy, will present the paper at the conference. Submissions not using the above templates or disclosing identity of the authors will be rejected without review.

The presented papers will be published in and indexed by IEEE Xplore.


Paper submission: May 10, 2017
Decision notifications: May 31, 2017
Camera-ready papers: June 12, 2017

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