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Volumn 39, Issue 10, 2010, Pages 1817-1831

Joint gait-cadence analysis for human identification using an elastic shape framework

Author keywords

Biometrics; Gait recognition; Shape classification; Statistical shape analysis; Statistics on shape manifolds

Indexed keywords

GAIT RECOGNITION; SHAPE CLASSIFICATION; SHAPE MANIFOLD; STATISTICAL SHAPE ANALYSIS;

EID: 77952356657     PISSN: 03610926     EISSN: 1532415X     Source Type: Journal    
DOI: 10.1080/03610920902912950     Document Type: Article
Times cited : (3)

References (22)
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  • 7
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    • 33745846812 scopus 로고    scopus 로고
    • Cyclostationary processes on shape spaces for gait-based recognition
    • Kaziska, D., Srivastava, A. (2006). Cyclostationary processes on shape spaces for gait-based recognition. Eur. Conf. Comput. Vision 2:442-453.
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    • Kaziska, D.1    Srivastava, A.2
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    • Gait-based human recognition by classification of cyclostationary processes on nonlinear shape manifolds
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    • Klassen, E.1    Srivastava, A.2
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    • Simplest representation yet for gait recognition: Averaged silhouette
    • Liu, Z., Malave, L., Sarkar, S. (2004). Simplest representation yet for gait recognition: averaged silhouette. Proc. 17th Int. Conf. Patt. Recogn. Vol.4.
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  • 22


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.