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Volumn , Issue , 2012, Pages 321-324

Robust clothing-invariant gait recognition

Author keywords

biometrics; clothing invariant; gait recognition; overfitting; random subspace method

Indexed keywords

APPEARANCE BASED; CLOTHING-INVARIANT; COVARIATES; DATA SETS; GAIT FEATURES; GAIT RECOGNITION; INDUCTIVE BIAS; OVERFITTING; RANDOM SUBSPACE METHOD; RECOGNITION ACCURACY; TRAINING SETS;

EID: 84867171240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IIH-MSP.2012.84     Document Type: Conference Paper
Times cited : (50)

References (12)
  • 6
    • 34147109171 scopus 로고    scopus 로고
    • A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition
    • S.Yu, D. Tan, and T.Tan. "A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition, " In Proc. Of the 18th Int. Conf. on Pattern Recognition, vol. 4, pp. 441-444, 2006.
    • (2006) Proc. Of the 18th Int. Conf. on Pattern Recognition , vol.4 , pp. 441-444
    • Yu, S.1    Tan, D.2    Tan, T.3
  • 7
    • 76749121333 scopus 로고    scopus 로고
    • Clothing-invariant gait identification using part-based clothing categorization and adaptive weight control
    • M.A. Hossain, Y. Makihara, J. Wang, and Y. Yagi "Clothing-invariant gait identification using part-based clothing categorization and adaptive weight control," Pattern Recognition, Vol.43, No.6, pp.2281-2291, 2010.
    • (2010) Pattern Recognition , vol.43 , Issue.6 , pp. 2281-2291
    • Hossain, M.A.1    Makihara, Y.2    Wang, J.3    Yagi, Y.4
  • 9
    • 10044298186 scopus 로고    scopus 로고
    • Simplest representation yet for gait recognition: Averaged silhouette
    • Z. Liu, and S. Sarkar, "Simplest representation yet for gait recognition: averaged silhouette," International Conference on Pattern Recognition(ICPR), vol.4, pp. 211- 214, 2004.
    • (2004) International Conference on Pattern Recognition(ICPR) , vol.4 , pp. 211-214
    • Liu, Z.1    Sarkar, S.2
  • 10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.