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Volumn 5197 LNCS, Issue , 2008, Pages 527-534

Gait Recognition based on silhouette, contour and classifier ensembles

Author keywords

Classifier ensembles; Computer vision; Gait recognition

Indexed keywords

BIOMETRICS; CLASSIFIERS; COMPUTER VISION; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE PROCESSING; LEARNING SYSTEMS; PATTERN RECOGNITION;

EID: 55349119206     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85920-8_64     Document Type: Conference Paper
Times cited : (5)

References (14)
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  • 2
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    • Nixon, M.S.1    Carter, J.N.2
  • 3
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    • Nixon, M.S., Carter, J.N., Nash, J.M., Huang, P.S., Cunado, D., Stevenage, S.V.: Automatic gait recognition. In: IEE Colloquium Motion Analysis and Tracking, pp. 3/1-3/6 (1999)
    • Nixon, M.S., Carter, J.N., Nash, J.M., Huang, P.S., Cunado, D., Stevenage, S.V.: Automatic gait recognition. In: IEE Colloquium Motion Analysis and Tracking, pp. 3/1-3/6 (1999)
  • 4
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    • Murray, M.: Gait as a total pattern of movement. American J. of Physical Medicine 46(1), 290-332 (1967)
    • Murray, M.: Gait as a total pattern of movement. American J. of Physical Medicine 46(1), 290-332 (1967)
  • 5
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    • Gait recognition
    • Final Report. Department of Computing Imperial College of Science, Technology & Medicine, London
    • Dawson, M.R.: Gait recognition, Final Report. Department of Computing Imperial College of Science, Technology & Medicine, London (2002)
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  • 6
    • 34247557518 scopus 로고    scopus 로고
    • Human gait recognition by the fusion of motion and static spatio-temporal templates
    • Lam, T.H.W., Lee, R.S.T., Zhang, D.: Human gait recognition by the fusion of motion and static spatio-temporal templates. Pattern Recognition 40(9), 2563-2573 (2007)
    • (2007) Pattern Recognition , vol.40 , Issue.9 , pp. 2563-2573
    • Lam, T.H.W.1    Lee, R.S.T.2    Zhang, D.3
  • 8
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    • Simplest representation yet for gait recognition: Averaged silhouette
    • IEEE Press, Cambridge
    • Liu, Z., Sarkar, S.: Simplest representation yet for gait recognition: averaged silhouette. In: IEEE International Conference on Pattern Recognition, pp. 211-214. IEEE Press, Cambridge (2004)
    • (2004) IEEE International Conference on Pattern Recognition , pp. 211-214
    • Liu, Z.1    Sarkar, S.2
  • 9
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    • A Novel Human Gait Recognition Method by Segmenting and Extracting the Region Variance Feature
    • Hong Kong
    • Chai, Y., Wang, Q., Jia, J., Zhao, R.: A Novel Human Gait Recognition Method by Segmenting and Extracting the Region Variance Feature. In: 18th International Conference on Pattern Recognition, Hong Kong, vol. 4 (2006)
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    • Chai, Y.1    Wang, Q.2    Jia, J.3    Zhao, R.4
  • 10
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    • Human gait recognition based on matching of body components
    • Boulgouris, N.V., Chi, Z.X.: Human gait recognition based on matching of body components. Pattern Recognition 40(6), 1763-1770 (2007)
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    • Boulgouris, N.V.1    Chi, Z.X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.