Connectionists: [GROW 2015 @ CVPR 2015] Call for Papers - Submission: March 10, 2015

Vittorio Murino Vittorio.Murino at iit.it
Tue Jan 27 05:00:09 EST 2015


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                               GROW 2015
                     First International Workshop on
           GRoup and crOWd behavior analysis and understanding
                       http://qil.uh.edu/grow2015/
                 June 11, 2015, Boston, MA, United States
                    in association with CVPR 2015
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             >> PAPER submission:         March 10, 2015 <<
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CALL FOR PAPERS

After years of research on the analysis of individuals by automatic 
methods, the computer vision community has transferred its attention on 
the new issue of modeling gatherings of people, commonly referred as 
groups or crowds, depending on the number of people involved.

The aim of GROW 2015 is to bring together a wide range of researchers in 
computer vision and machine learning from one side, and applied social 
sciences on the other, to share innovative ideas and solutions for 
exploiting the potential synergies emerging from the integration of the 
two domains, for a range of different applications. For this reason, the 
invited speakers of the workshop will come from the computer science and 
from the social science domains, promoting an intriguing 
cross-fertilization among the two areas.
This will serve to get an answer to many unresolved issues in the 
computer vision community, like: what is a group and what is a crowd? Is 
it true that the difference among them is a matter of number of people 
involved? Are there cues other than the spatial proximity and oriented 
velocity which could be used to detect them? Are there different 
typologies of groups and crowds? For example, in the sociological 
literature, social studies defined different kinds of crowd (spectator 
crowd, casual crowd, protest crowds and some other) and it could be 
interesting to understand whether these definitions could have some 
computational counterpart. Are there issues for sociologists which could 
be faced using computational methods (like annotations, massive 
observations by ecological camera networks)? The aim of the workshop 
will be that of explicitly managing these issues, having also a panel 
discussion at the end of the event.


SCOPE
To address these challenges, contributions are particularly welcome in 
the following areas:

* Group/crowd detection
* Group/crowd tracking
* Tracking in the crowd
* Group/crowd modeling from a drone
* Egovision for group/crowd modeling
* Group/crowd behavior understanding and activity recognition
* Crowd counting
* Group profiling
* Information fusion for crowd modeling
* F-formation/free conversational groups recognition
* Jointly focused/commonly focused gathering recognition
* Causal, spectator, protest crowd recognition and modeling
* Abnormality detection in a group/crowd
* Group detection in a crowd
* Crowd forecasting
* Metrics for group and crowd modeling
* Video surveillance and sensor networks
* groups)
* (Collective) Head orientation, gesture recognition in groups and crowd
* Groups and crowds datasets


IMPORTANT DATES:
         Full Paper submission:             Tuesday, 10th March 2015
         Notification to authors:            Friday, 17th April 2015
         Submission Camera Ready:            Monday, 27th April 2015
         Workshop:                           Thursday, 11th June 2015


INVITED SPEAKERS
Chiara Bassetti, University of Trento, Italy
Shaogang Gong, Queen Mary University, UK (to be confirmed)
Greg Mori, Simon Fraser University, USA
Clark McPhail, University of Illinois, USA (to be confirmed)


WORKSHOP CHAIRS:
Vittorio Murino, Istituto Italiano di Tecnologia, IT
Marco Cristani, University of Verona, IT
Shishir Shah, University of Houston, USA
Silvio Savarese, Stanford University, USA


PROGRAM COMMITTEE (to be finalized):
Loris    Bazzani - The Dartmouth College, US
Francois Bremond – Inria, FR
Andrea Cavallaro - Queen Mary University of London, UK
Rama Chellappa - University of Maryland, College Park, US
Rita Cucchiara - Università di Modena e Reggio Emilia, US
Gianfranco Doretto - West Virginia University, US
Frederic Jurie - Université de Caen, FR
Xuelong Li - Chinese Academy of Sciences, CN
Federico Pernici - University of Florence, IT
Neil Robertson - Heriot-Watt University, UK
Nicu Sebe - University of Trento, IT
Lauro Snidaro - University of Udine, IT
Stefano Tubaro - Politecnico di Milano, IT
Sergio Velastin - Universidad de Santiago de Chile, CL
Ramesh Visvanathan - Frankfurt Institute of Advanced Studies, DE
Xiaogang Wang - The Chinese University of Hong Kong, HK
Tony Xiang - Queen Mary University of London, UK
Wei-Shi Zheng - Sun Yat-sen University, CN
Hayley Hung - Technical University of Delft, NL
Wolfram Burgard - University of Freiburg, DE
Jean-Marc Odobez – IDIAP, CH
Amit K. Roy Chowdhury - University of California, Riverside, US
Ming-Hsuan Yang - University of California at Merced, US

SPECIAL ISSUE:
A special issue on a top journal on computer vision is going to be organized

Further Details:
Please see the GROW 2015 website:  http://qil.uh.edu/grow2015/

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-- 
Vittorio Murino

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Prof. Vittorio Murino, Ph.D.
PAVIS - Pattern Analysis & Computer Vision

IIT Istituto Italiano di Tecnologia
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E-mail: vittorio.murino at iit.it

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