Video-Based Modeling, Analysis, and Recognition of Human Motion
Call for Papers
The increasing deployment of video camera networks, spurred by the emergence of increased surveillance needs for security purposes, has necessitated the development of new and more efficient technologies for the automatic modeling, analysis, and recognition of human motion in video sequences. Moreover, different other applications like computer graphics, video databases, video communications, and medicine can benefit from a better understanding of human motion.
The development of new technologies for human motion analysis involves a variety of challenging research problems. In gait-based recognition, it has become apparent that efficient technologies can be developed by constructing complicated gait models that include more detailed information about walking individuals. In activity recognition, the definition, description, and recognition of different kinds of human motion stand as an essential research challenge towards the development of smart surveillance systems that will be able to conduct reliable monitoring without any user intervention. To this end, combined tracking and human motion understanding are topics of particular interest. Issues related to the mathematical modeling of human movements also require further investigation. In a recognition framework, scalability issues, that is, issues relevant the impact in the efficiency of a system due to the registration of increased numbers of subjects or activities in the reference database are of great importance.
This special issue aims to focus on emerging technologies related to the above problems and comprehensively cover their system, processing and application aspects.
Topics of interest include, but are not limited to, the following:
- Human recognition based on gait
- 2D and 3D human gait modeling
- 2D and 3D human motion modeling
- Feature extraction for human gait modeling
- Mathematical models of human motion
- Recognition of human actions
- Combined tracking and action recognition
- Indexing and retrieval of human activity databases
- Scalability issues in human motion recognition
- Recognition of complex human motion observed from a single camera or a camera network
- Applications in communications, graphics, medicine and multimedia
Authors should follow the EURASIP Journal on Image and Video Processing manuscript format described at http://www.hindawi.com/journals/ivp/. Prospective authors should submit an electronic copy of their complete manuscripts through the journal Manuscript Tracking System at http://mts.hindawi.com/, according to the following timetable:
| Manuscript Due | February 1, 2009 |
| First Round of Reviews | May 1, 2009 |
| Publication Date | August 1, 2009 |
Guest Editors
- Nikolaos V. Boulgouris, Department of Electronic Engineering, Division of Engineering, King's College London, London WC2R 2LS, UK
- Amit K. Roy-Chowdhury, Electrical Engineering Department, University of California, Riverside, CA 92521, USA
- Yoichi Sato, Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo 113-0033, Japan