Gait Correlation Analysis Based Human Identification
Human gait identification aims to identify people by a sequence of walking images. Comparing with fingerprint or iris based identification, the most important advantage of gait identification is that it can be done at a distance. In this paper, silhouette correlation analysis based human identificat...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/168275 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832559187410812928 |
|---|---|
| author | Jinyan Chen |
| author_facet | Jinyan Chen |
| author_sort | Jinyan Chen |
| collection | DOAJ |
| description | Human gait identification aims to identify people by a sequence of walking images. Comparing with fingerprint or iris based identification, the most important advantage of gait identification is that it can be done at a distance. In this paper, silhouette correlation analysis based human identification approach is proposed. By background subtracting algorithm, the moving silhouette figure can be extracted from the walking images sequence. Every pixel in the silhouette has three dimensions: horizontal axis (x), vertical axis (y), and temporal axis (t). By moving every pixel in the silhouette image along these three dimensions, we can get a new silhouette. The correlation result between the original silhouette and the new one can be used as the raw feature of human gait. Discrete Fourier transform is used to extract features from this correlation result. Then, these features are normalized to minimize the affection of noise. Primary component analysis method is used to reduce the features’ dimensions. Experiment based on CASIA database shows that this method has an encouraging recognition performance. |
| format | Article |
| id | doaj-art-0a36bc2727544b6aad07bd0d961b7d4c |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-0a36bc2727544b6aad07bd0d961b7d4c2025-02-03T01:30:36ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/168275168275Gait Correlation Analysis Based Human IdentificationJinyan Chen0School of Computer Software, Tianjin University, Tianjin 300072, ChinaHuman gait identification aims to identify people by a sequence of walking images. Comparing with fingerprint or iris based identification, the most important advantage of gait identification is that it can be done at a distance. In this paper, silhouette correlation analysis based human identification approach is proposed. By background subtracting algorithm, the moving silhouette figure can be extracted from the walking images sequence. Every pixel in the silhouette has three dimensions: horizontal axis (x), vertical axis (y), and temporal axis (t). By moving every pixel in the silhouette image along these three dimensions, we can get a new silhouette. The correlation result between the original silhouette and the new one can be used as the raw feature of human gait. Discrete Fourier transform is used to extract features from this correlation result. Then, these features are normalized to minimize the affection of noise. Primary component analysis method is used to reduce the features’ dimensions. Experiment based on CASIA database shows that this method has an encouraging recognition performance.http://dx.doi.org/10.1155/2014/168275 |
| spellingShingle | Jinyan Chen Gait Correlation Analysis Based Human Identification The Scientific World Journal |
| title | Gait Correlation Analysis Based Human Identification |
| title_full | Gait Correlation Analysis Based Human Identification |
| title_fullStr | Gait Correlation Analysis Based Human Identification |
| title_full_unstemmed | Gait Correlation Analysis Based Human Identification |
| title_short | Gait Correlation Analysis Based Human Identification |
| title_sort | gait correlation analysis based human identification |
| url | http://dx.doi.org/10.1155/2014/168275 |
| work_keys_str_mv | AT jinyanchen gaitcorrelationanalysisbasedhumanidentification |