Gait Recognition Using GEI and AFDEI
Joint Authors
Zhang, Jianliang
Zi, Chunyuan
Niu, Ying
Tian, Huixin
Luo, Jing
Xiu, Chunbo
Source
International Journal of Optics
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-11
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Luo, Jing& Zhang, Jianliang& Zi, Chunyuan& Niu, Ying& Tian, Huixin& Xiu, Chunbo. 2015. Gait Recognition Using GEI and AFDEI. International Journal of Optics،Vol. 2015, no. 2015, pp.1-5.
https://search.emarefa.net/detail/BIM-1066254
Modern Language Association (MLA)
Luo, Jing…[et al.]. Gait Recognition Using GEI and AFDEI. International Journal of Optics No. 2015 (2015), pp.1-5.
https://search.emarefa.net/detail/BIM-1066254
American Medical Association (AMA)
Luo, Jing& Zhang, Jianliang& Zi, Chunyuan& Niu, Ying& Tian, Huixin& Xiu, Chunbo. Gait Recognition Using GEI and AFDEI. International Journal of Optics. 2015. Vol. 2015, no. 2015, pp.1-5.
https://search.emarefa.net/detail/BIM-1066254
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1066254