Special Session
Special Session Advances on View-Invariant motion RepresenTation and UndErstanding -
VIRTUE
2018
27 - 29 January, 2018 - Funchal, Madeira, Portugal
Within the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP 2018
* CANCELLED *
CO-CHAIRS
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Nicoletta Noceti
DIBRIS, Università di Genova
Italy
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Brief Bio
Nicoletta Noceti received the Laurea cum laude (2006) and the PhD in Computer Science (2010) from the University of Genova. In 2008, she visited the IDIAP Institute (Switzerland). Since 01/2010 she is a research associate at DIBRIS, University of Genova. Her research activity is mainly focused on the design and development of visual computational models that combine Computer Vision and Machine Learning for the general goal of scene understanding from images or videos. The reference fields of her work include artificial vision modelling and image processing, within the application areas of Human-Machine Interaction and Natural User Interfaces, video-surveillance and activity monitoring. Both theoretical and practical aspects are key elements of her research. She authored more than 50 publications, and she participated to various national and international research projects (e.g. EU projects SAFEPOST and Healh-e-Child), and technology transfer and development projects with SMEs and large companies. She collaborates with universities, research institutes and hospitals. She recently organised the workshop “Vision and the development of social cognition” held in conjunction with the Sixth Joint IEEE International Conference on Developmental Learning and Epigenetic Robotics (ICDL-EPIROB 2016, Cergy-Pontoise, September 19th) and the One-Day BMVA Meeting “Vision for interaction: from humans to robots” (London, October 19th). She is currently guest editor of the special issue “A sense of interaction in humans and robots: from visual perception to social cognition” for the IEEE Transactions on Cognitive and Developmental Systems.
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Francesco Rea
Istituto Italiano di Tecnologia
Italy
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Brief Bio
Francesco Rea graduated in B.SC. Information Engineering at the Universita di Bergamo in 2004 and specialized in Computer Engineering at the Universita di Bergamo in 2007. He got a M.Sc. degree in Robotics and Automation at the University of Salford, Greater Manchester University UK in 2008 and a Ph.D degree in Robotics at the University of Genoa in 2012 contributing to different EU project (POETICON, eMorph) . He joined the Istituto Italiano di Tecnologia (IIT) in 2013 as fellow to support research on the perception and cognitive modeling and human-robot interaction in the EU project DARWIN. He is Post Doctoral fellow at the Istituto Italiano di Tecnologia (IIT) involved on a research program of study and dynamic simulation of human body under loads in collaboration with US Department of Defense (Natick, USA). His main areas of interest are modeling and replication of human and humanoid perception and cognitive skills, human-robot interaction and dynamic simulation of multibody systems.
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Alessandra Sciutti
Robotics, Brain and Cognitive Sciences, Istituto Italiano di Tecnologia
Italy
https://www.iit.it/people/alessandra-sciutti
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Brief Bio
Alessandra Sciutti is a Researcher of the Robotics, Brain and Cognitive Sciences Department of the Italian Institute of Technology (IIT) in Genoa (Italy), responsible of the Cognitive Robotics and Interaction Laboratory. She was born in 1982 and received her Ph.D. in Humanoid Technologies from the University of Genova (Italy) in 2010. From 2010 to 2014 she has been working as a Post Doc at the Italian Institute of Technology (IIT) focusing on motor control, sensory- and sensorimotor integration and human robot interaction. After two research periods at the Robotics Lab of the Rehabilitation Institute of Chicago and at the Emergent Robotics Laboratory of Osaka University, she is currently co-coordinating the EU FP7 IRSES CODEFROR project on the topics of Cognitive Development, Human-Humanoid friendly interaction and Rehabilitation. The scientific aim of her research is to investigate the sensory and motor mechanisms underlying mutual understanding in human-human interaction, with the technological goal of designing naturally interacting robots.
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SCOPE
Understanding actions from different points of view and taking the perspective of others is a fundamental ability humans often leverage for interaction. However for machines the task remains considerably challenging. When projected onto different images planes, in fact, a 3D motion may change severely, increasing the complexity of successfully matching motion descriptors of the same actions observed from different viewpoints. Nevertheless, this ability is a key to address motion understanding tasks in unconstrained, real world situations. Differently from laboratory settings, commonly used for methods evaluation, the expected relative position between observer and actor can not be definite and more importantly is unfixed. This special session aims at gathering contributions on the challenging task of view-invariant motion representation and understanding.
IMPORTANT DATES
Paper Submission:
November 21, 2017 (expired)
Authors Notification:
November 27, 2017 (expired)
Camera Ready and Registration:
November 30, 2017 (expired)
SPECIAL SESSION PROGRAM COMMITTEE
Available soon.
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by DBLP, Web of Science / Conference Proceedings Citation Index, EI and SCOPUS.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library
Selected papers addressing large scale visual computing problems will be invited to submit extended versions of their papers to a Special Issue of the Frontiers in Robotics and AI journal.