[visionlist] Pattern Recognition Letters - Call for Papers: Special Issue on Learning and Recognition for Assistive Computer Vision
Marco Leo
m.leo at isasi.cnr.it
Tue Jan 30 03:18:15 -05 2018
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Pattern Recognition Letters - Call for Papers
Special Issue on Learning and Recognition for Assistive Computer Vision
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Assistive Computer Vision refers to systems that support people with
physical and mental problems to better perform daily tasks enhancing
their quality of life. The advances in learning and recognizing
patterns are allowing a point of view in the definition and
development of more efficient and effective assistive frameworks. In
the light of this, it is important to collect the most recent
advancements in learning and recognition algorithms to be exploited
in different applications to be employed to assist the modern society.
The aim of the special issue is to gather papers in which machine
learning and pattern recognition are the key core in the design of
advanced assistive computer vision systems to help human in tasks
such as:
· Rehabilitation
· Training
· Mobility
· Assessment and diagnosis of physical and cognitive diseases
· Improving quality of Life
· Remote Healthcare
· Safe and security
· Remote Surgery
· Ambient Assisted Living
· Augmented Perception, Attention and Memory
_List of topics_
We will invite authors to contribute with high quality paper that
will stimulate the research community on building theory and
applications of machine learning and pattern recognition to be used
in real-life environments for assistive computer vision technologies.
Research papers exploiting new and innovative methodologies of
pattern recognition, computer vision and machine learning are
solicited in, but not limited to, the following areas:
· Augmented and Alternative Communication
· Human - Robot Interaction
· Mobility Aids
· Rehabilitation Aids
· Home Healthcare
· Technology for Cognition
· Activity Monitoring Systems
· Manipulation Aids
· Scene Understanding and exploration
· Visual Attention and Visual Saliency
· Smart Environments
· Safety and Security
· Ambient Assistive Living
· Quality of Life Technologies
· Navigation Systems
· Sensory Substitution
· Mobile and Wearable Systems
· Applications for the Visually Impaired
· Applications for hearing impaired
· Applications for the Ageing Society
· Datasets and Evaluation Procedures
· Personalized Monitoring
· Applications to improve health and well-being of children
and elderly
_Submissions and Revisions__
_
Submissions to the special issue must include new, unpublished,
original research. Papers must be original and have not been
published or submitted elsewhere. All papers must be written in
English. The submissions will be blind reviewed by at least two
experts. Papers should be submitted electronically using the
ELSEVIER submission system and following the Instructions for
Authors as indicated at the journal home page (Papers should be
prepared by adhering to the PRLetters guidelines at
https://www.elsevier.com/journals/pattern-recognition-letters/0167-8655/guide-for-authors/.
When submitting their papers through the online system, Authors
should select the acronym “SI: LR4ACV” to make it clear that they
are submitting to this SI.
All submissions will undergo initial screening by the Guest Editors
for fit to the Special Issue and prospects for successfully
negotiating the review process.
_Submission Schedule_
Submission Period: June 1-30, 2018
Author notification: July 30, 2018
Revised papers due: September 15, 2018
Final notification: October 15, 2018
Publication: November 2018
_Managing Guest Editor_
Giovanni Maria Farinella
Email: gfarinella at dmi.unict.it
Affiliation: University of Catania, Italy
_Guest editors_
Marco Leo
Email: marco.leo at cnr.it
Affiliation: National Research Council (CNR), Italy
Gérard Medioni
Email: medioni at usc.edu
Affiliation: University of Southern California, USA
Mohan Trivedi
Email: mtrivedi at soe.ucsd.edu
Affiliation: University of California at San Diego, USA
<http://jacobsschool.ucsd.edu/faculty/faculty_bios/index.sfe?fmp_recid=68>
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