Gait Recognition Using GEI and AFDEI
Gait energy image (GEI) preserves the dynamic and static information of a gait sequence. The common static information includes the appearance and shape of the human body and the dynamic information includes the variation of frequency and phase. However, there is no consideration of the time that no...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | International Journal of Optics |
| Online Access: | http://dx.doi.org/10.1155/2015/763908 |
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| _version_ | 1832562485716058112 |
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| author | Jing Luo Jianliang Zhang Chunyuan Zi Ying Niu Huixin Tian Chunbo Xiu |
| author_facet | Jing Luo Jianliang Zhang Chunyuan Zi Ying Niu Huixin Tian Chunbo Xiu |
| author_sort | Jing Luo |
| collection | DOAJ |
| description | Gait energy image (GEI) preserves the dynamic and static information of a gait sequence. The common static information includes the appearance and shape of the human body and the dynamic information includes the variation of frequency and phase. However, there is no consideration of the time that normalizes each silhouette within the GEI. As regards this problem, this paper proposed the accumulated frame difference energy image (AFDEI), which can reflect the time characteristics. The fusion of the moment invariants extracted from GEI and AFDEI was selected as the gait feature. Then, gait recognition was accomplished using the nearest neighbor classifier based on the Euclidean distance. Finally, to verify the performance, the proposed algorithm was compared with the GEI + 2D-PCA and SFDEI + HMM on the CASIA-B gait database. The experimental results have shown that the proposed algorithm performs better than GEI + 2D-PCA and SFDEI + HMM and meets the real-time requirements. |
| format | Article |
| id | doaj-art-96c01f3e9db74111a9f93d08b1d1e5ca |
| institution | Kabale University |
| issn | 1687-9384 1687-9392 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Optics |
| spelling | doaj-art-96c01f3e9db74111a9f93d08b1d1e5ca2025-02-03T01:22:32ZengWileyInternational Journal of Optics1687-93841687-93922015-01-01201510.1155/2015/763908763908Gait Recognition Using GEI and AFDEIJing Luo0Jianliang Zhang1Chunyuan Zi2Ying Niu3Huixin Tian4Chunbo Xiu5Key Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin 300387, ChinaKey Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin 300387, ChinaKey Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin 300387, ChinaKey Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin 300387, ChinaKey Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin 300387, ChinaKey Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin 300387, ChinaGait energy image (GEI) preserves the dynamic and static information of a gait sequence. The common static information includes the appearance and shape of the human body and the dynamic information includes the variation of frequency and phase. However, there is no consideration of the time that normalizes each silhouette within the GEI. As regards this problem, this paper proposed the accumulated frame difference energy image (AFDEI), which can reflect the time characteristics. The fusion of the moment invariants extracted from GEI and AFDEI was selected as the gait feature. Then, gait recognition was accomplished using the nearest neighbor classifier based on the Euclidean distance. Finally, to verify the performance, the proposed algorithm was compared with the GEI + 2D-PCA and SFDEI + HMM on the CASIA-B gait database. The experimental results have shown that the proposed algorithm performs better than GEI + 2D-PCA and SFDEI + HMM and meets the real-time requirements.http://dx.doi.org/10.1155/2015/763908 |
| spellingShingle | Jing Luo Jianliang Zhang Chunyuan Zi Ying Niu Huixin Tian Chunbo Xiu Gait Recognition Using GEI and AFDEI International Journal of Optics |
| title | Gait Recognition Using GEI and AFDEI |
| title_full | Gait Recognition Using GEI and AFDEI |
| title_fullStr | Gait Recognition Using GEI and AFDEI |
| title_full_unstemmed | Gait Recognition Using GEI and AFDEI |
| title_short | Gait Recognition Using GEI and AFDEI |
| title_sort | gait recognition using gei and afdei |
| url | http://dx.doi.org/10.1155/2015/763908 |
| work_keys_str_mv | AT jingluo gaitrecognitionusinggeiandafdei AT jianliangzhang gaitrecognitionusinggeiandafdei AT chunyuanzi gaitrecognitionusinggeiandafdei AT yingniu gaitrecognitionusinggeiandafdei AT huixintian gaitrecognitionusinggeiandafdei AT chunboxiu gaitrecognitionusinggeiandafdei |