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CALL FOR PAPERS
International Workshop on Human Behaviour Understanding 2010 (HBU@ICPR)

August 22, 2010 - Istanbul, TURKEY, held in conjunction with ICPR'10
http://www.icpr2010.org/workshops/hbu/

Apologies for cross-posting

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Description:

Domains where human behavior understanding is a crucial need (e.g.,
human-computer interaction, affective computing and social signal
processing) rely on advanced pattern recognition techniques to
automatically interpret complex behavioral patterns generated when
humans interact with machines or with others. This is a challenging
problem where many issues are still open, including the joint modeling
of behavioral cues taking place at different time scales, the inherent
uncertainty of machine detectable evidences of human behavior, the
mutual influence of people involved in interactions, the presence
of long term dependencies in observations extracted from human behavior,
and the important role of dynamics in human behavior understanding.

This workshop will gather researchers dealing with the problem of
modeling human behavior under its multiple facets (expression of emotions,
display of relational attitudes, performance of individual or joint 
actions,
etc.), with particular attention to pattern recognition approaches
that involve multiple modalities and those that model the actual dynamics
of behavior. The contiguity with ICPR, one of the most important events
in the Pattern Recognition and Machine Learning communities, is expected to
foster cross-pollination with other areas, e.g. temporal pattern mining
or time series analysis, which share their important methodological
aspects with human behavior understanding. Furthermore, the presence
of this workshop at ICPR is expected to attract researchers (in particular
PhD students and postdoctoral researchers) to a domain like human behavior
understanding that is likely to play a major role in future technology
(ambient intelligence, human-robot interaction, artificial social
intelligence, etc.), as witnessed by a number of research efforts aimed at
collecting and annotating large sets of multi-sensor data, collected 
from observing
people in natural (often technologically challenging) conditions.

Topics:

We particularly solicit contributions that make use of temporal and 
dynamic information,
as well as contributions that take into account multi-modal correlations.
The covered topics include, among others:

- Social behaviour analysis & modeling, multimodal behaviour patterns
- Temporal patterns
- Facial, gestural and voice-based affect recognition
- Sign-language recognition
- Human motion analysis
- Pattern recognition applied to novel sensors
- Pattern discovery in personal sensor networks, reality mining
- Smart environments
- Human-computer interaction
- Benchmarking studies on novel databases
- New feature selection and extraction methods
- Mathematical description and integration of contextual information
- Behavioural biometrics

IMPORTANT DATES:

April 9, 2010: Submission of full paper
May 1, 2010: Notification of acceptance
May 14, 2010: Early registration ends
May 14, 2010: Camera-ready paper
August 22, 2010: Workshop

Organizing Committee:

Albert Ali Salah, University of Amsterdam
Nicu Sebe, University of Trento
Alessandro Vinciarelli, University of Glasgow
Theo Gevers, University of Amsterdam

Program Committee:

Yiannis Aloimonos, Univ. Maryland
Oya Aran, IDIAP
Manuele Bicego, Univ. Verona
Jeffrey Cohn, Univ. Pittsburgh
Hazim Ekenel, Karlsruhe Univ.
Jordi Gonzales, CVC
Jonathan Gratch, USC
Dirk Heylen, Univ. Twente
Ashish Kapoor, Microsoft Research Redmond
Seong-Whan Lee, Korea Univ.
Vittorio Murino, Univ. Verona
Fabio Pianesi, Univ. Trento
Ioannis Pitas, Univ. Thessaloniki
Eraldo Ribeiro, Florida Institute of Technology
Michael Ryoo, ETRI
Marc Schroder, DFKI Language Technology Lab
Bjorn Schuller, Technical Univ. Munich
Metin Sezgin, Koç Univ.
Jianhua Tao, NLPR - Institute of Automation Chinese Academy of Sciences
Qi Tian, Univ. Texas at San Antonio
Matthew Turk, Univ. California, Santa Barbara
Hezy Yeshurun, Tel Aviv Univ.

For more information contact:

Dr. Albert Ali Salah
Informatics Institute, Faculty of Science,
University of Amsterdam
Science Park 107, 1098XG
The Netherlands
phone: +31 (0) 20 525 7550
home: http://staff.science.uva.nl/~asalah/
e-mail: [log in to unmask]