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1st IEEE Workshop on Modeling, Simulation and Visual Analysis of Large Crowds

                     (In conjunction with ICCV 2011)

                   7th November 2011, Barcelona, Spain
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1st IEEE Workshop on Modeling, Simulation and Visual Analysis of Large Crowds
(In conjunction with ICCV 2011)

7th November 2011, Barcelona, Spain
Visit http://server.cs.ucf.edu/~vision/ICCVWorkshop/home.html for more details.
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Important Dates:

       - Paper Submission: 11:59 pm, July 15, 2011
       - Review Decisions: August 15, 2011
       - Camera Ready Papers: September 15, 2011
       - Workshop Date: 7th November 2011

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Problems related to analysis of crowded scenes arise in a variety of
contexts. A surveillance system installed in a city center may be
interested in detecting individual objects that traverse the crowded scene
to bootstrap its tracking module. At another location, a similar system
may be interested in counting the number of people or estimating the
density of crowd. Furthermore in context of object tracking, following
individual person, a group of people, or the entire crowd may be of
interest. Similarly event recognition systems may be interested in
understanding what is happening in a scene by collecting local as well as
global crowd statistics. Developing mathematical models of crowd movement
and people interaction for simulation and modeling purposes is yet another
area of interest.

It is generally agreed that in low density environments the problems
described above are well understood and relatively mature solutions exists
to solve them. However computer vision research for moderate or high
density environments is still in its early stages. Although attempts have
been made in published literature to extend conventional computer vision
algorithms designed for low density scenes in order to address some of the
challenges of crowded scenes, these techniques alone appear insufficient
to solve the new set of challenges posed by moderate to high density
crowds.

The goal of this workshop is to bring together researchers from areas of
computer vision, computer graphics, physics, and evacuation dynamics and
lay down a foundation for an integrated analysis-synthesis approach for
crowd modeling, where complementary viewpoints and techniques from these
areas are used to develop additional insight into crowd analysis, modeling
and simulation problem.

This workshop calls for multi-disciplinary original, high-quality papers
that cut across above mentioned fields addressing various scientific
questions and challenges related to modeling of large crowds. Topics of
interest include but are not limited to the following:

        Single and Multi-camera Tracking in High Density Crowds
        Event Analysis in Crowded and Cluttered Scenes
        Group Activity Analysis
        Action Recognition in Crowds
        Applications of Visual Crowd Analysis Systems
        Crowd Flow Analysis
        Data Driven Crowd Simulation & Behavior Understanding
        Crowd Interaction Models and their Applications to Object
              Detection Tracking and Event Analysis
        Force based Models for Pedestrian Dynamics in Crowds.
        Image and Video Features for Crowd Modeling
        Datasets/ Model Validation/Calibration/Algorithm
              Testing/Annotation Techniques for Crowd Research

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Organizers:

    Mubarak Shah (University of Central Florida)
    Dinesh Manocha (University of North Carolina)
    Rita Cucchiara (University of Modena and Reggio Emilia)

    Saad Ali (SRI International Sarnoff)
    Nuno Vasconcelos (UC, San Diego)
    Fatih M. Porikli (MERL)
    Ko Nishino (Drexel University)


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Contact Email:

Saad Ali