CASIA OpenIR  > 09年以前成果
Fusion of static and dynamic body biometrics for gait recognition
Wang, L; Ning, HZ; Tan, TN; Hu, WM
Source PublicationIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
2004-02-01
Volume14Issue:2Pages:149-158
SubtypeArticle
AbstractVision-based human identification at a distance has recently gained growing interest from computer vision researchers. This paper describes a human recognition algorithm by combining static and dynamic body biometrics. For each sequence involving a walker, temporal pose changes of the segmented moving silhouettes are represented as an associated sequence of complex vector configurations and are then analyzed using the Procrustes shape analysis method to obtain a compact appearance representation, called static information of body. In addition, a model-based approach is presented under a Condensation framework to track the walker and to further recover joint-angle trajectories of lower limbs, called dynamic information of gait. Both static and dynamic cues obtained from walking video may be independently used for recognition using the nearest exemplar classifier. They are fused on the decision level using different combinations of rules to improve the performance of both identification and verification. Experimental results of a dataset including 20 subjects demonstrate the feasibility of the proposed algorithm.
KeywordBiometrics Gait Recognition Joint-angle Trajectory Procrustes Shape Analysis Tracking
WOS HeadingsScience & Technology ; Technology
WOS KeywordTRACKING ; IDENTIFICATION ; MODELS
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000189357500002
Citation statistics
Cited Times:170[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/7965
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Wang, L,Ning, HZ,Tan, TN,et al. Fusion of static and dynamic body biometrics for gait recognition[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2004,14(2):149-158.
APA Wang, L,Ning, HZ,Tan, TN,&Hu, WM.(2004).Fusion of static and dynamic body biometrics for gait recognition.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,14(2),149-158.
MLA Wang, L,et al."Fusion of static and dynamic body biometrics for gait recognition".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 14.2(2004):149-158.
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