International Workshop on Crowd Understanding Call for Papers

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 technologies.

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 automation.

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unpublished work from researchers and practitioners who are active in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.

Workshop Website

http://www.crowd-understanding.eu/

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

Organizers:

   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