
The Library
A robust speed-invariant gait recognition system for walker and runner identification
Tools
Guan, Yu and Li, Chang-Tsun (2013) A robust speed-invariant gait recognition system for walker and runner identification. In: 2013 International Conference on Biometrics (ICB), Madrid, Spain, 4-7 Jun 2013. Published in: Proceedings : 2013 International Conference on Biometrics (ICB) pp. 1-8. doi:10.1109/ICB.2013.6612965
|
PDF
ICB_Guan %282%29_Guan___.pdf - Accepted Version - Requires a PDF viewer. Download (871Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/ICB.2013.6612965
Abstract
In real-world scenarios, walking/running speed is one of the most common covariate factors that can affect the performance of gait recognition systems. By assuming the effect caused by the speed changes (from the query walkers/runners) are intra-class variations that the training data (i.e., gallery) fails to capture, overfitting to the less representative training data may be the main problem that degrades the performance. In this work, we employ a general model based on random subspace method to solve this problem. More specifically, for query gaits in unknown speeds, we try to reduce the generalization errors by combining a large number of weak classifiers. We evaluate our method on two benchmark databases, i.e., Infrared CASIA-C dataset and Treadmill OU-ISIR-A dataset. For the cross-speed walking/running gait recognition experiments, nearly perfect results are achieved, significantly higher than other state-of-the-art algorithms. We also study the unknown-speed runner identification solely using the walking gait gallery, and the encouraging experimental results suggest the effectiveness of our method in such cross-mode gait recognition tasks.
Item Type: | Conference Item (Paper) | ||||
---|---|---|---|---|---|
Subjects: | Q Science > QA Mathematics T Technology > TA Engineering (General). Civil engineering (General) |
||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Gait in humans -- Mathematical models, Computer vision | ||||
Journal or Publication Title: | Proceedings : 2013 International Conference on Biometrics (ICB) | ||||
Publisher: | IEEE | ||||
Book Title: | 2013 International Conference on Biometrics (ICB) | ||||
Official Date: | 2013 | ||||
Dates: |
|
||||
Page Range: | pp. 1-8 | ||||
DOI: | 10.1109/ICB.2013.6612965 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 28 December 2015 | ||||
Date of first compliant Open Access: | 28 December 2015 | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 2013 International Conference on Biometrics (ICB) | ||||
Type of Event: | Conference | ||||
Location of Event: | Madrid, Spain | ||||
Date(s) of Event: | 4-7 Jun 2013 |
Request changes or add full text files to a record
Repository staff actions (login required)
![]() |
View Item |
Downloads
Downloads per month over past year