Institute of Intelligent Systems for Automation

Call For Participation

ACVR – First International Workshop on A
ssistive Computer Vision and Robotics 


in conjunction with the 17th International Conference on Image Analysis and Processing (ICIAP), Naples, Italy, 




Assistive technologies provide a set of advanced tools that can improve the quality of life not only for disabled, patients and elderly but also for healthy people struggling with everyday actions. After a period of slow but steady scientific progress, this scientific area seems to be mature for new research and application breakthroughs. The rapid progress in the development of integrated micro-mechatronic tools has boosted this process. However, many problems remain open especially as regards environment perception and interaction of these technological tools with people. The goal of the workshop is to give an overview of the state of the art of perception and interaction methodologies involved in this area with special attention to aspects related to computer vision and robotics.

The International Workshop on Computer Vision and Robotics subsidiaries (ACVR) aims to bring together researchers working on problems of robotics and vision related to developing assistive technologies. Research papers are solicited in, but not limited to, the following topics:

·        Augmented and Alternative Communication

·         Human - Robot Interaction

·         Mobility Aids

·         Rehabilitation Aids

·         Home Healthcare

·         Technology for Cognition

·         Automatic Emotional Hearing

·         Activity Monitoring Systems

·         Manipulation Aids

·         Smart Environments

·         Safety and Security

The workshop will be opened with a keynote speech from Andrea Cavallaro (Professor of Multimedia Signal Processing at Queen Mary University of London).
The talk will address the challenging problems of
"Actions, Interactions and Re-Identification in Camera Networks"



Localising people and understanding their interactions is a desirable yet demanding task for assistive computer vision applications. This presentation will illustrate challenges and new possibilities in video-based applications related to smart environments, activity monitoring systems, safety and security. I will cover algorithms that use actions to enable the synchronization of multiple data streams and the analysis of interactions to effectively track groups of people. Moreover I will describe algorithms and methods for predicting the movements of people across blind spots in camera networks in order to facilitate their re-identification.  The algorithms will be illustrated with several examples from on-going and recently completed projects.


Andrea Cavallaro is Professor of Multimedia Signal Processing and Director of the Centre for Intelligent Sensing at Queen Mary University of London, UK. He received his Ph.D. in Electrical Engineering from the Swiss Federal Institute of Technology (EPFL), Lausanne, in 2002 and the Laurea (Summa cum Laude) in Electrical Engineering from the University of Trieste in 1996. He was a Research Fellow with British Telecommunications (BT) in 2004/2005 and was awarded the Royal Academy of Engineering teaching Prize in 2007; three student paper awards on target tracking and perceptually sensitive coding at IEEE ICASSP in 2005, 2007 and 2009; and the best paper award at IEEE AVSS 2009. Prof. Cavallaro is Area Editor for the IEEE Signal Processing Magazine and Associate Editor for the IEEE Transactions on Image Processing. He is an elected member of the IEEE Signal Processing Society, Image, Video, and Multidimensional Signal Processing Technical Committee, and chair of its Awards committee. He served as an elected member of the IEEE Signal Processing Society, Multimedia Signal Processing Technical Committee, as Associate Editor for the IEEE Transactions on Multimedia and the IEEE Transactions on Signal Processing, and as Guest Editor for seven international journals. He was General Chair for IEEE/ACM ICDSC 2009, BMVC 2009, M2SFA2 2008, SSPE 2007, and IEEE AVSS 2007. Prof. Cavallaro was Technical Program chair of IEEE AVSS 2011, the European Signal Processing Conference (EUSIPCO 2008) and of WIAMIS 2010. He has published more than 130 journal and conference papers, one monograph on Video tracking (2011, Wiley) and three edited books: Multi-camera networks (2009, Elsevier); Analysis, retrieval and delivery of multimedia content (2012, Springer); and Intelligent multimedia surveillance (2013, Springer – to appear).

Important Dates

Paper submission: M̶a̶y̶ ̶1̶5̶,̶ ̶2̶0̶1̶3̶    May 22, 2013

Notification to the authors: J̶u̶n̶e̶ ̶1̶0̶,̶ ̶2̶0̶1̶3̶  June 19, 2013

Camera ready copy: J̶u̶n̶e̶ ̶2̶4̶,̶ ̶2̶0̶1̶3̶  June 28, 2013

Workshop: September 9, 2013

Submission Process / Information

The Workshop proceedings will be published by Springer in the  LNCS series, indexed as peer-reviewed publication in the Web of Science. 
The length of the papers is max 8 pages (with references included; always an even number of pages).
Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation.
Authors must follow the LNCS guidelines for their paper to be published by Springer, according to Springer's Information for LNCS authors. 

The submission site is: 

For Camera Ready Submission please check the detailed Instructions available at

Organizing Committee

General Chair:

Marco Leo (CNR - Institute of Optics)

Danilo P. Mandic (Imperial College of London) 

Steering Committee:


Cosimo Distante (CNR -Institute of Optics)

David Looney (Imperial College of London)

Annalisa Milella (CNR - Institute of Intelligent Systems for Automation)

Program Committee:

Salvatore M. Anzalone (ISIR, Université Pierre et Marie Curie, Paris)
Donato Di Paola(CNR -Institute of Intelligent Systems for Automation)
Cem Direkoglu (Dublin City University)
Arcangelo Distante (CNR -Institute of Intelligent Systems for Automation)
Flavio Esposito (Boston University)
Giovanni Indiveri (Universiy of Salento)
Henry Kautz (University of Rochester)
Liliana Lo Presti (Boston University)
Pier Luigi Mazzeo (CNR -Institute of Intelligent Systems for Automation)
Markos Mentzelopoulos (University of Westminster)
Mikel Rodriguez (INRIA/ENS)   
Davide Scaramuzza (University of Zurich)
Paolo Spagnolo (CNR -Institute of Intelligent Systems for Automation)