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AISB miscellaneous Bulletin Item

CFP: JIVP Special Issue on Video-based Modeling, Analyais, and Recogntion of Human Motion

EURASIP Journal on Image and Video Processing

SPECIAL ISSUE: Video-based Modeling, Analysis, and Recognition of Human

GUEST EDITORS: Nikolaos V.  Boulgouris, Amit K. Roy-Chowdhury, Yoichi Sato

MANUSCRIPT DUE: February 1, 2009

The increasing deployment of video camera networks, spurred by the emergence
increased surveillance needs for security purposes, has necessitated the 
development of new and more efficient technologies for the automatic
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

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 poses as an essential
challenge towards the development of smart surveillance systems that will be

able to conduct reliable monitoring without any user intervention. To this
combined tracking and human motion understanding are topics of particular 
interest. Issues related to the mathematical modeling of human movements
require further investigation. In a recognition framework, scalability
i.e., 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
problems and comprehensively cover their system, processing and application 

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

Prospective authors should submit an electronic copy of their complete 
manuscripts through the journal manuscript tracking system at, according to the following timetable:

Manuscript Due	         February 1, 2009
First round of reviews	 May 1, 2009
Publication Date	 August 1, 2009


Nikolaos V.  Boulgouris
Department of Electronic Engineering, Division of Engineering
King's College London, United Kingdom

Amit K. Roy-Chowdhury
Department of Electrical Engineering, 
University of California, Riverside, United States 

Yoichi Sato
Graduate School of Interdisciplinary Information Studies
The University of Tokyo, Japan