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Workshop on Crowd Understanding ECCV 16

amauryd – Posted on April 29, 2016 at 3:19 am

  • Website: http://www.crowd-understanding.eu
  • Location: Amsterdam
  • Field: Computer Vision
  • Submission Deadline: June 1, 2016
  • Conference Date: October 8, 2016
  • About the Conference:
  • The International Workshop on Crowd Understanding aims to bring together
    people from academic/scientific and industrial/business communities
    active in computer vision and video surveillance fields in order to
    initiate a discussion regarding the state of the art, outlooks and
    challenges in the field with an accent on the business aspects of the

    Fast increasing hardware capabilities, growing data
    bandwidth and falling costs cause surveillance cameras to be deployed
    in large quantities, inducing a strong need for automated processing
    with an ultimate goal of scene understanding. Despite the significant
    effort of the Computer Vision scientific community, the state of the art
    video surveillance automation is based on tracking individual persons
    in sparsely crowded environments while automated understanding of
    crowded scenes remains an unsolved problem. Being an unsolved problem in
    scientific research, it also represents a missing piece in commercial
    automated video surveillance systems. There it also represents a high
    potential for commercialization – the large amount of surveillance
    cameras causes either cognitive overload of security operators or
    increased operating costs creating a strong and urgent need for

    We invite the submission of high quality manuscripts
    describing unpublished work from researchers and practitioners who are
    active in the following areas:

       Novel Crowd Understanding Techniques
       Detection and tracking of crowd
       Recognition and detection of crowd behavior
       Single camera people detection and tracking in crowded environments
       Multi camera people detection and tracking in crowded environments
       Abnormality detection in crowd
       People re-identification in crowded scenes
       Crowd analytics, such as density estimation
       F-formation recognition
       Novel sensors and surveillance system architecture for crowd understanding
       Crowd datasets
       Business and societal aspects of crowd surveillance
       Other computer vision topics related to crowd monitoring

    Papers describing novel solutions which have real potential for business exploitation are particularly encouraged.

    Important dates:

       Submission deadline: 1st June 2016
       Decision to authors: 4th July 2016
       Camera-ready deadline: 25th July 2016
       Workshop: tbd 8th-9th October 2016


       François Brémond, INRIA Sophia Antipolis.
       Vít Líbal, Honeywell ACS Global Labs Prague
       Andrea Cavallaro, Queen Mary University of London.
       Tomas Pajdla, Czech Technical University in Prague.
       Petr Palatka, Neovision s.r.o.

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