5th International Workshop on Human Behavior Understanding

“Computer Vision for Complex Social Interactions”

 

Description

With advances in pattern recognition and multimedia computing, it became possible to analyze human behavior via multimodal sensors, at different time-scales and at different levels of interaction and interpretation. This ability opens up enormous possibilities for multimedia and multimodal interaction, with a potential of endowing the computers with a capacity to attribute meaning to users' attitudes, preferences, personality, social relationships, etc., as well as to understand what people are doing, the activities they have been engaged in, their routines and lifestyles. Re-defining the relationship between the computer and the interacting human, moving the computer from a passive observer role to a socially active participant role and enabling it to drive different kinds of interaction has implications across multiple domains.


The HBU workshop aims to see where this change is taking us, and to inspect developments in areas where smarter computers that can sense human behavior have great potential to revolutionize the application domain. This workshop will gather researchers dealing with the problem of modeling human behavior under its multiple facets (expression of emotions, display of complex social and relational behaviors, performance of individual or joint actions, etc.), with the focus topic of computer vision for complex social interactions. Concrete examples are vision-based and multimodal approaches to detect interactions in multimedia data, the integration of language and speech with vision for automatic annotation of interactions, classification of non-verbal signals, gestures and movements, to name a few.


The HBU Workshops, previously organized as satellite to ICPR, AMI, IROS and ACM Multimedia Conferences, have a unique aspect of fostering cross-pollination of different disciplines, bringing together researchers of computer vision, multimedia, robotics, HCI, artificial intelligence, pattern recognition, interaction design, ambient intelligence, and psychology. The diversity of human behavior, the richness of multi-modal data that arises from its analysis, and the multitude of applications that demand rapid progress in this area ensure that the HBU Workshops provide a timely and relevant discussion and dissemination platform.

 

Committees

Organizing Committee:

Hyun Soo Park, Carnegie Mellon University, USA.

Albert Ali Salah, Boğaziçi Univ., Turkey.

Yong Jae Lee, University of California, Berkeley, USA

Louis-Philippe Morency, University of Southern California, USA.

Yaser Sheikh, Carnegie Mellon University, USA.

Rita Cucchiara, University of Modena and Reggio Emilia, Italy.



Program Committee:

Hamid Aghajan, Stanford University, USA

Oya Aran, Idiap Research Institute, CH

Richard Bowden, University of Surrey, UK

Wongun Choi, NEC Laboratories America, USA

Peter Carr, Disney Research, USA

Marco Cristani, University of Verona, IT

Fernando de la Torre, Carnegie Mellon University, USA

Laurence Devillers, LIMSI, FR

Hamdi Dibeklioglu, Delft University of Technology, NL

Pınar Duygulu Sahin, Bilkent University, TR

Hazım Ekenel, Istanbul Technical University, TR

Alireza Fathi, Stanford University, USA

Raquel Fernandez Rovira, University of Amsterdam, NL

David Forsyth, University of Illinois at Urbana Champaign, USA

Roland Goecke, University of Canberra, AU

Jordi Gonzalez, UAB-CVC Barcelona, ES

Hatice Gunes, Queen Mary University of London, UK

Alexander Hauptmann, Carnegie Mellon University, USA

Hayley Hung, Delft University of Technology, NL

Nazli Ikizler-Cinbis, Hacettepe University, TR

Quiang Ji, Ransellaer Polytechnic Institute, USA

Mohan Kankanhalli, National University of Singapore, SG

Cem Keskin, Microsoft Research, UK

Kris Kitani, Carnegie Mellon University, USA

Ivan Laptev, INRIA, FR

Patrick Lucey, Disney Research, USA

Simon Lucey, Carnegie Mellon University, USA

Jean Marc Odobez, Idiap Research Institute, CH

Greg Mori, Simon Fraser University, CA

Vittorio Murino, Istituto Italiano di Tecnologia and University of Verona, IT

Massimo Piccardi, University of Technology, Sydney, AU

Michael Ryoo, NASA Jet Propulsion Laboratory, USA

Shishir Shah, University of Houston, USA

Alan Smeaton, Dublin City University, IE

Leonid Sigal, Disney Research, USA

Khiet Truong, University of Twente, NL

 

Invited Speakers

Shai Avidan,  Tel-Aviv University

Marco Cristani, University of Verona

David Forsyth, University of Illinois at Urbana-Champaign

Daniel Gatica-Perez, Idiap Research Institute

Fei-Fei Li, Stanford University

James Rehg,Georgia Institute of Technology

Nicu Sebe,University of Trento

Alessandro Vinciarelli, University of Glascow

 

Papers

Aleksandra Cerekovic, Oya Aran and Daniel Gatica-Perez

How do you like your virtual agent? Human-agent interaction experience through nonverbal features and personality traits

Bart Kamphorst, Michel Klein and Arlette van Wissen

Human Involvement in E-Coaching: Effects on Effectiveness, Perceived Influence and Trust

Giorgio Roffo, Cinzia Giorgetta, Roberta Ferrario and Marco Cristani

Just The Way You Chat: Linking Personality, Style and Recognizability in Chats

Haolin Wei, David Monaghan and Noel E. O Connor

A New Multi-Modal Dataset for Human Affect Analysis

Hamdi Dibeklioglu, Theo Gevers, Marcel Lucassen and Albert Salah

The Role of Color and Contrast in Facial Age Estimation

Habib Ullah, Mohib Ullah and Nicola Conci

Dominant motion analysis in regular and irregular crowd scenes

Baris Evrim Demiroz, Albert Salah and Lale Akarun

Coupling Fall Detection and Tracking in Omnidirectional Cameras

Yanhao Zhang, Shengping Zhang, Qingming Huang and Thomas Serre

Learning Sparse Prototypes via Ensemble Coding Mechanisms for Crowd Perception

Coert van Gemeren, Robby Tan, Ronald Poppe and Remco Veltkamp

Dyadic interaction detection from pose and flow