[image 00801] CFP: CVIU Special Issue on Pose & Gesture

[Norimichi Ukita]

image-ML の皆様，

CVIU の special issue の論文募集です．
投稿をご検討頂けますようお願いします．

http://www.journals.elsevier.com/computer-vision-and-image-understanding/call-for-papers/special-issue-on-pose-gesture/

-- 奈良先端科学技術大学院大学 浮田宗伯



CFP - CVIU Special Issue on Pose & Gesture


Scope

Future applications will require new methods to capture human poses and 
recognize gestures. Progress in these areas will lead to advances in 
diverse areas such as robotics, wearable computing, motion capture, and 
touch-free interfaces. In recent years systems have left the lab 
environment and are now being deployed in the real-world as evidenced by 
the success of recent depth sensors. This trend will continue as 
hardware and algorithms continue to advance. The proposed special issue 
will focus on methods for capturing human pose and gesture to provide an 
overview of the current state of the art in the field.


Topics

For this special issue, authors are invited to submit original research 
papers and high-quality overview and survey articles on topics 
including, but not limited to:


Methodology

- Detection and tracking of articulated body pose
- Efficient training and inference algorithms
- New representations for pose and gesture applications
- Multi-modal learning and fusion strategies
- Generalization to new users
- Theoretical characterizations


Applications

- Human pose estimation in 2D and 3D
- Hand pose estimation
- Gesture recognition
- Sign language recognition


Paper Submission

Full papers can be submitted via the online submission system for CVIU 
(http://ees.elsevier.com/cviu/).

Preparation of the manuscript must follow the Guide for Authors 
(http://goo.gl/aXjd45).

To encourage reproducible research, preference will be given to 
submissions accompanied by software that generates the results claimed 
in the manuscript.


Submission Deadline

15 Oct 2014


First Round Decisions: 15 Mar 2015
Revisions Deadline: 15 Jun 2015
Final Round Decisions: 15 Aug 2015
Online Publication: Oct 2015



Guest Editors

Bjorn Stenger, Toshiba Research Europe
Norimichi Ukita, NAIST
Yoichi Sato, University of Tokyo
Pascal Fua, EPFL
David Fleet, University of Toronto