Human Identification Using Temporal Information Preserving Gait Template | |
Wang, Chen1; Zhang, Junping1; Wang, Liang2; Pu, Jian1; Yuan, Xiaoru3 | |
发表期刊 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE |
2012-11-01 | |
卷号 | 34期号:11页码:2164-2176 |
文章类型 | Article |
摘要 | Gait Energy Image (GEI) is an efficient template for human identification by gait. However, such a template loses temporal information in a gait sequence, which is critical to the performance of gait recognition. To address this issue, we develop a novel temporal template, named Chrono-Gait Image (CGI), in this paper. The proposed CGI template first extracts the contour in each gait frame, followed by encoding each of the gait contour images in the same gait sequence with a multichannel mapping function and compositing them to a single CGI. To make the templates robust to a complex surrounding environment, we also propose CGI-based real and synthetic temporal information preserving templates by using different gait periods and contour distortion techniques. Extensive experiments on three benchmark gait databases indicate that, compared with the recently published gait recognition approaches, our CGI-based temporal information preserving approach achieves competitive performance in gait recognition with robustness and efficiency. |
关键词 | Computer Vision Gait Recognition Biometric Authentication Pattern Recognition |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | RECOGNITION ; IMAGE ; SILHOUETTE ; REPRESENTATION ; EXTRACTION |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000308755000009 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/3801 |
专题 | 智能感知与计算研究中心 |
作者单位 | 1.Fudan Univ, Shanghai Key Lab Intelligent Informat Proc, Sch Comp Sci, Shanghai 200433, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 3.Peking Univ, Sch Elect Engn & Comp Sci, Key Lab Machine Percept, Beijing 100871, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Chen,Zhang, Junping,Wang, Liang,et al. Human Identification Using Temporal Information Preserving Gait Template[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2012,34(11):2164-2176. |
APA | Wang, Chen,Zhang, Junping,Wang, Liang,Pu, Jian,&Yuan, Xiaoru.(2012).Human Identification Using Temporal Information Preserving Gait Template.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,34(11),2164-2176. |
MLA | Wang, Chen,et al."Human Identification Using Temporal Information Preserving Gait Template".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 34.11(2012):2164-2176. |
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