Articulated Motion and Deformable Objects Call for Papers

Pattern Recognition Special Issue Call for Papers:
Articulated Motion and Deformable Objects

Contact: paco.perales@uib.es

Aims and scope
================
This SI invites contributions which make novel developments to the
theory and application of pattern recognition and machine learning to
the analysis of human motion and deformable objects.  Articulated
motion and deformable objects (AMDO) research focuses on the automatic
analysis of complex objects, such as the human body. The subject is
important to different fields, including pattern recognition, computer
vision, computer graphics, multimedia applications, and multimodal
interfaces. Advances in the automatic analysis of this kind of objects
will promote the generation of new technologies and applications in
many sectors, including leisure industry (gaming, intelligent
retrieval of video data, augmented reality, Human Computer
Interaction, etc.), security (security surveillance and ambient
intelligence), health care (greater autonomy for those suffering
disabling diseases, advanced assisted living, inpatient monitoring,
supported diagnosis, etc.) and energy (smart rooms, buildings and
cities), to name just a few. This Special Issue invites extended and
updated versions of papers published at recent AMDO conferences as
well as submissions from anybody presenting novel Pattern Recognition
methods in the field of AMDO.

Topics and guidelines
================
The submission of papers making fundamental or practical contributions
to the following topics is encouraged:
. Manifold Learning for AMDO,
. Subspace methods for AMDO,
. Kernel methods for AMDO,
. Pattern Recognition methods for Human Modelling & Animation,
. Human Motion Analysis & Tracking for activity recognition,
. 3D Human Reconstruction & Recognition,
. Pattern Recognition methods for Multimodal AMDO,
. Pattern Recognition for Ubiquitous & Social Computing,
. 2D/3D Deformable Models,
. Deep Learning Methods for 2D and spatio-temporal deformable object analysis,
. New statistical, structural or syntactic pattern recognition methods for AMDO,
. New Pattern Recognition applications in the field of AMDO.

Although submissions from participants and attendees of AMDO events
are particularly encouraged, this is an open call inviting papers from
anybody working on new Pattern Recognition methods in the AMDO
field. All papers will undergo the same rigorous Pattern Recognition
revision process. Please refer to the PR website for detailed
instructions on paper submission
http://www.journals.elsevier.com/pattern-recognition/

Important dates:
================
Submission system starts receiving submissions: November, 15th, 2016
Paper submission deadline: December, 15th, 2016
Acceptance/rejection notification: April, 1st, 2017
Paper publication: September, 15th, 2017

Guest editors:
================
Josef kittler, Univ. of Surrey, UK, j.kittler@surrey.ac.uk
Francisco Perales, Univ. Illes Balears, paco.perales@uib.es
Sergio Escalera, Computer Vision Center and Univ. of Barcelona, 
      ChaLearn, sergio@maia.ub.es 

Contact: paco.perales@uib.es