ivrIoT 2014

IEEE International Workshop on Intelligent Sensing and Processing for Image/Video/Radar in Internet of Things


In Conjunction with the 14th IEEE International Conference on

Computer and Information Technology (CIT 2014)

September 11-13, 2014, Xi'an, Shaanxi, China


The "internet of things" (IoT) concept is used to define or reference systems that rely on the autonomous communication of a group of physical objects. One of the most important issue in IoT is the interaction between objects and human. Among numerous methods, computer vision techniques provide the most unintrusive way for human-objects interaction. The application areas of intelligent sensing and processing in the IoT are numerous, including smart homes, intelligent transportation, telemedicine, radar imaging etc.. Since many of the IoT systems and related intelligent sensing and processing techniques are relatively novel, there are still many untapped applications areas to be explored, numerous challenges and issues that need to be addressed.

The aim of this Symposium is to provide the latest and most innovative contributions concerning the issues of interest in IoT solutions that involve interconnected smart things that interoperate with the objective of solving problems, provide functionality or optimize tasks. Topics of interest include (but are not limited to):

  • Image/video intelligent processing for IoT: systems and applications
  • Image/video intelligent processing techniques in smart homes
  • Intelligent transportation systems based on Image/video intelligent processing
  • Image/video intelligent processing in IoT: privacy, security and identification
  • Computer vision network and communication: architectures, services and protocols
  • Interaction between human and Smart things
  • Computer vision based wearable devices for IoT
  • Innovative computer vision system for IoT Solutions for handicapped persons
  • Image/video intelligent processing in smart cities: novel applications and large-scale IoT systems
  • Application of image/video intelligent processing in intelligent vehicles
  • Image/video intelligent processing techniques for Big data
  • EM Scattering Modeling
  • Computational Electromagnetics
  • Microwave Imaging
  • EM Scattering Measurement
  • Radar Cross Section Reduction
  • Terahertz Scattering and Imaging
  • EM Scattering in Complex Random Media
  • EM Scattering from the Targets in Complex Environment
  • Target Recognition
  • Inverse Scattering


Symposium Chairs

  • Xinbo Gao, Xidian University, China
  • Zhiliang Wang, University of Science and Technology Beijing, China

Program Committee Members

  • Huansheng Ning, University of Science and Technology Beijing, China
  • Xiong Luo, University of Science and Technology Beijing, China
  • Jianguo Zhang, University of Dundee, Scotland
  • Ning Wang, Beihang University, China
  • Ya Su, University of Science and Technology Beijing, China
  • Yuan Lin, Lenovo R&T CIC MIIM-Machine Intelligence, China


Papers submitted to ivrIoT 2014 should be written in English conforming to the IEEE Conference Proceedings Format (8.5" x 11", Two-Column). The length of the papers should not exceed 6 pages + 2 pages for over length charges. The template files for LATEX or WORD can be downloaded here. The paper should be submitted in PDF format through the EasyChair paper submission system https://www.easychair.org/conferences/?conf=lsns2014. Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS CPS and submitted to IEEE Xplore and CSDL. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers will be removed from the digital libraries of IEEE CS after the conference. Distinguished papers presented at the conference, after further revision, will be recommended to special issues of reputable SCI/EI-indexed journals.

Submission Deadline: June 10th, 2014
Author Notification: July 1st, 2014
Camera Ready: July 10th, 2014
Conference Dates: Sep 11-13, 2014


Please email inquiries concerning ivrIoT 2014 to: Ya Su (ivriot14@gmail.com)

Contact: ieee-cit-2014@googlegroups.com
Last Updated: Sept. 26 2014