DMCA
Gait Analysis for Recognition and Classification (2002)
| Citations: | 149 - 0 self |
BibTeX
@MISC{Lee02gaitanalysis,
author = {L. Lee and W. E. L. Grimson},
title = {Gait Analysis for Recognition and Classification},
year = {2002}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
This paper describes a representation of gait appearance for the purpose of person identification and classification. This gait representation is based on simple features such as moments extracted from orthogonal view video silhouettes of human walking motion. Despite its simplicity, the resulting feature vector contains enough information to perform well on human identification and gender classification tasks. We explore the recognition behaviors of two different methods to aggregate features over time under different recognition tasks. We demonstrate the accuracy of recognition using gait video sequences collected over different days and times and under varying lighting environments. In addition, we show results for gender classification based our gait appearance features using a support-vector machine.
Keyphrases
gait analysis recognition behavior resulting feature vector orthogonal view video silhouette different method gait representation different day gait appearance feature support-vector machine gait video sequence enough information person identification gender classification gait appearance human identification classification task simple feature different recognition task
