============================================================
Call for Papers
ACM Transaction on Intelligent Systems
and Technology (ACM TIST)
Special Issue on Visual Understanding
with RGB-D Sensors
============================================================
Recent years have witnessed rapid growth of research in visual
understanding with RGB-D sensors since the release of Micrsoft's Kinect
sensor in November 2010. For a long time, researchers have been challenged
by many visual understanding problems such as detecting and identifying
objects or human activities in real-world situations. Traditional
segmentation and tracking algorithm are not always reliable when the
environment is cluttered or the illumination changes suddenly. However, the
effective combination of depth and RGB data is potentially capable of
improving the accuracy of object identification and tracking by relaxing
the negative effects of environmental changes.
The online free available SDKs and posture trackers for the Kinect modeling
environments further encourage novel solutions to traditional visual
understanding problems. However, Kinect sensors face a number of specific
challenges such as correlation between per-pixel depth and RGB information
when one of them is missing or corrupted, characterization of objects based
on the RGB-Depth images etc. This special issue is specifically dedicated
to new algorithms and applications based on the Kinect sensors. The key
outcomes of the special issue will be a convincing forum for researchers
and practitioners to disseminate their latest research on visual
understanding with RGB-D sensors. The special issue covers all aspects of
visual understanding using RGB-D cameras.
Topics of interest include but are not limited to:
-Sensor calibration and data pre-processing
-Object description, detection, tracking and recognition
-Depth fusion, 3D reconstruction and modeling
-Human detection, tracking and activity understanding
-Scene understanding and segmentation
-Intelligent computing for generating dense depth map
-Adaptive and learning techniques for a Kinect network
-HCI with Kinect as bridge
-Navigation, localization and semantic mapping
-Annotation and retrieval of RGB-D data
-Empirical studies and benchmark datasets
-Industrial applications
Submission Guideline:
Authors should prepare their manuscript according to the Instructions for
Authors available from the online submission page of the ACM Transactions
on Intelligent Systems and Technology at
http://tist.acm.org/authors.html#format . All the papers will be
peer-reviewed following the ACM Transactions on Intelligent Systems and
Technology reviewing procedures.
Important Dates:
Paper submission due: Jun. 30, 2013
First notification: Aug. 15, 2013
Revision: Sept. 30, 2013
Final decision: Nov. 30, 2013
Guest Editors:
- Richang Hong, Hefei University of Technology (hongrc@hfut.edu.cn )
- Shuicheng Yan, National University of Singapore (eleyans@nus.edu.sg )
- Zhengyou Zhang, Microsoft Research Redmond (zhang@microsoft.com )
--
※ 發信站: 批踢踢實業坊(ptt.cc)
◆ From: 147.46.241.183