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IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics

 Special Issue on

New Advances in Video-based Gait Analysis and Applications: Challenges and Solutions


Deadline for submission: 1 March 2009

Scheduled for publication in early 2010

The study of human gait has generated much interest in the fields including biomechanics, clinical analysis,
computer animation, robotics, and biometrics. In the early studies, traditional sensor-based obtrusive
methods were commonly used. Recently, with the development of widespread availability of cameras and
techniques of automated video analysis, video-based gait analysis has been one of most active but challenging
research topics. As a relatively new biometric, gait can be used to signify the identification of individuals
in image sequences. From a surveillance perspective, gait recognition is an attractive modality because it
may be performed at a distance, surreptitiously. Gait motion capture and understanding are important in HCI
and entertainment such as computer game and automation. Recently, gait has also been used for gender
discrimination and age estimation, as well as traditional applications in medical diagnosis and

There has been great progress made in the area of video-based gait analysis over the past few years, but not
without limitations such as view dependence, simple and controlled environment, insufficient consideration of
temporal influences on gait (such as clothes, carrying conditions, health states, body build variations due
to weight), etc. This poses a number of significant challenges in video-based gait analysis and applications.
More advanced solutions are thus needed to meet emerging application needs. As one major frontier for
computer vision and pattern recognition research, statistical learning theories and techniques have been
successfully applied for human tracking, motion modeling and recognition, which have evidenced rapid and
fruitful developments, and are under the way to make further significant contributions to the area of
vision-based gait analysis. To present and highlight the latest developments in vision-based gait analysis
and applications in terms of both challenging areas and research approaches, this special issue is designed
to aim at new advances in video-based gait analysis for different applications and will feature papers
proposing new solutions to these real difficulties. We will solicit original contributions of researchers and
practitioners from academia as well as industry, which address a wide range of theoretical and applied
issues. Topics of interest include, but are not limited to:

* Viewpoint invariant gait analysis from a single camera
* Gait and scene of crime analysis
* Invariant description of exploratory variables
* Abnormal gait detection and analysis
* Robust segmentation and tracking in complex scenes
* Real time gait video analysis
* Efficient storage, processing and retrieval of large amounts of video data
* Gait classification and recognition
* Gender and/or age classification from gait analysis
* Gait-assisted diagnosis and/or treatment
* Gait motion capture and performance evaluation
* Gait biomechanics
* Gait detection and tracking in videos
* Gait feature fusion from camera networks
* Semantic linkage between camera networks and other sensors
* Gait databases
* Other related aspects

The submitted articles must not have been previously published and must not be currently submitted for
publication elsewhere. Prospective authors are responsible for understanding and adhering to the submission
guidelines listed on the journal website. All submitted papers will be reviewed by at least three independent
reviewers. Prospective authors should submit an electronic copy of their complete manuscript by the journal
Manuscript Central, according to the following timetable:

* Full paper due: March 1, 2009
* First notification: June 1, 2009
* Revised manuscript due: August 1, 2009
* Acceptance Notification: October 1, 2009
* Final manuscript due: November 1, 2009
* Publication of the special issue: 2nd quarter of 2010

Please address all correspondence regarding this special issue to any of the following guest editors:

Liang Wang (
wangliangnlpr@gmail.com), The University of Melbourne, Australia
Guoying Zhao (
gyzhao@ee.oulu.fi), University of Oulu, Finland
Nasir Rajpoot (
nasir@dcs.warwick.ac.uk), University of Warwick, UK
Mark Nixon (
msn@ecs.soton.ac.uk), Southampton University, UK