Gait Recognition Using GEI and AFDEI. (11th October 2015)

• Record Type: Journal Article
• Authors: Luo, Jing; Zhang, Jianliang; Zi, Chunyuan; Niu, Ying; Tian, Huixin; Xiu, Chunbo
• Other Names: Cerullo Giulio Academic Editor.
• Is Part Of: International journal of optics. Volume 2015(2015)
• Publication Date: 2015-10-11
• Subjects: Optics -- Periodicals; Optics; Periodicals; 535
• DOI: 10.1155/2015/763908
• Languages: English
• ISSNs: 1687-9392

Abstract

Abstract : 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.