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Volumn , Issue , 2011, Pages 227-233

Person reidentification by kernel PCA based appearance learning

Author keywords

Kernel PCA; Manifold learning; Person reidentification

Indexed keywords

DATA SETS; EIGENSPACE REPRESENTATION; EIGENSPACES; HIGH-DIMENSIONAL; ILLUMINATION CONDITIONS; KERNEL PCA; KEY FRAME SELECTION; MANIFOLD LEARNING; MULTIPLE REPRESENTATIVES; NONLINEAR MANIFOLDS; REIDENTIFICATION; SIMILARITY MEASUREMENTS; SPATIAL INFORMATIONS; TESTING DATA; VISUAL SURVEILLANCE SYSTEMS;

EID: 80051823619     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CRV.2011.37     Document Type: Conference Paper
Times cited : (11)

References (20)
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    • Yu, Y.1    Harwood, D.2    Yoon, K.3    Davis, L.4
  • 10
    • 34249934791 scopus 로고    scopus 로고
    • Person tracking and reidentification: Introducing Panoramic Appearance Map (PAM) for feature representation
    • T. Gandhi and M. Trivedi, "Person tracking and reidentification: Introducing Panoramic Appearance Map (PAM) for feature representation," Machine Vision and Applications, vol. 18, no. 3, pp. 207-220, 2007.
    • (2007) Machine Vision and Applications , vol.18 , Issue.3 , pp. 207-220
    • Gandhi, T.1    Trivedi, M.2
  • 12
    • 77957286310 scopus 로고    scopus 로고
    • Tracking multiple workers on construction sites using video cameras
    • J. Yang, O. Arif, P. Vela, J. Teizer, and Z. Shi, "Tracking multiple workers on construction sites using video cameras," Advanced Engineering Informatics, vol. 24, no. 4, pp. 428-434, 2010.
    • (2010) Advanced Engineering Informatics , vol.24 , Issue.4 , pp. 428-434
    • Yang, J.1    Arif, O.2    Vela, P.3    Teizer, J.4    Shi, Z.5
  • 16
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Scholkopf, A. Smola, and K. Muller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural computation, vol. 10, no. 5, pp. 1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.2    Muller, K.3
  • 20
    • 34249337437 scopus 로고    scopus 로고
    • Incremental kernel principal component analysis
    • T. Chin and D. Suter, "Incremental kernel principal component analysis," IEEE Transactions on Image Processing, vol. 16, no. 6, pp. 1662-1674, 2007.
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.6 , pp. 1662-1674
    • Chin, T.1    Suter, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.