메뉴 건너뛰기




Volumn 13, Issue 2, 2017, Pages

Multichannel-Kernel canonical correlation analysis for cross-view person reidentification

Author keywords

KCCA; Late fusion; Person reidentification

Indexed keywords

CAMERAS; ITERATIVE METHODS;

EID: 85015180860     PISSN: 15516857     EISSN: 15516865     Source Type: Journal    
DOI: 10.1145/3038916     Document Type: Article
Times cited : (48)

References (45)
  • 4
    • 84921377121 scopus 로고    scopus 로고
    • Person re-identification by robust canonical correlation analysis
    • Le An, Songfan Yang, and Bir Bhanu. 2015. Person re-identification by robust canonical correlation analysis. IEEE Signal Processing Letters 22, 8, 1103-1107.
    • (2015) IEEE Signal Processing Letters , vol.22 , Issue.8 , pp. 1103-1107
    • An, L.1    Yang, S.2    Bhanu, B.3
  • 5
    • 84896518621 scopus 로고    scopus 로고
    • A survey of approaches and trends in person reidentification
    • Apurva Bedagkar-Gala and Shishir K. Shah. 2014. A survey of approaches and trends in person reidentification. Image and Vision Computing 32, 4, 270-286.
    • (2014) Image and Vision Computing , vol.32 , Issue.4 , pp. 270-286
    • Bedagkar-Gala, A.1    Shah, S.K.2
  • 9
    • 79955869423 scopus 로고    scopus 로고
    • Appearance-based person reidentification in camera networks: Problem overview and current approaches
    • Gianfranco Doretto, Thomas Sebastian, Peter Tu, and Jens Rittscher. 2011. Appearance-based person reidentification in camera networks: Problem overview and current approaches. Journal of Ambient Intelligence and Humanized Computing 2, 2, 127-151.
    • (2011) Journal of Ambient Intelligence and Humanized Computing , vol.2 , Issue.2 , pp. 127-151
    • Doretto, G.1    Sebastian, T.2    Tu, P.3    Rittscher, J.4
  • 13
    • 10044285992 scopus 로고    scopus 로고
    • Canonical correlation analysis: An overview with application to learning methods
    • David R. Hardoon, Sandor Szedmak, and John Shawe-Taylor. 2004. Canonical correlation analysis: An overview with application to learning methods. Neural Computation 16, 12, 2639-2664.
    • (2004) Neural Computation , vol.16 , Issue.12 , pp. 2639-2664
    • Hardoon, D.R.1    Szedmak, S.2    Shawe-Taylor, J.3
  • 17
    • 84907711292 scopus 로고    scopus 로고
    • Leveraging local neighborhood topology for large scale person re-identification
    • Svebor Karaman, Giuseppe Lisanti, Andrew D. Bagdanov, and Alberto Del Bimbo. 2014. Leveraging local neighborhood topology for large scale person re-identification. Pattern Recognition 47, 12, 3767-3778.
    • (2014) Pattern Recognition , vol.47 , Issue.12 , pp. 3767-3778
    • Karaman, S.1    Lisanti, G.2    Bagdanov, A.D.3    Del Bimbo, A.4
  • 25
    • 84919903057 scopus 로고    scopus 로고
    • Kernelized relaxed margin components analysis for person re-identification
    • Hao Liu, Meibin Qi, and Jianguo Jiang. 2015a. Kernelized relaxed margin components analysis for person re-identification. IEEE Signal Processing Letters 22, 7, 910-914.
    • (2015) IEEE Signal Processing Letters , vol.22 , Issue.7 , pp. 910-914
    • Liu, H.1    Qi, M.2    Jiang, J.3
  • 31
    • 84986223758 scopus 로고    scopus 로고
    • Mahalanobis distance learning for person re-identification
    • S. Gong,M. Cristani, S. Yan, and C. C. Loy (Eds.). Springer, London, UK
    • Peter M. Roth, Martin Hirzer, Martin Koestinger, Csaba Beleznai, and Horst Bischof. 2014. Mahalanobis distance learning for person re-identification. In Person Re-Identification, S. Gong,M. Cristani, S. Yan, and C. C. Loy (Eds.). Springer, London, UK, 247-267.
    • (2014) Person Re-Identification , pp. 247-267
    • Roth, P.M.1    Hirzer, M.2    Koestinger, M.3    Beleznai, C.4    Bischof, H.5
  • 35
    • 84892656939 scopus 로고    scopus 로고
    • People reidentification in surveillance and forensics: A survey
    • Roberto Vezzani, Davide Baltieri, and Rita Cucchiara. 2013. People reidentification in surveillance and forensics: A survey. ACM Computing Surveys 46, 2, 29:1-29:37.
    • (2013) ACM Computing Surveys , vol.46 , Issue.2 , pp. 291-2937
    • Vezzani, R.1    Baltieri, D.2    Cucchiara, R.3
  • 36
    • 84983249663 scopus 로고    scopus 로고
    • Similarity learning with top-heavy ranking loss for person re-identification
    • Jin Wang, Nong Sang, Zheng Wang, and Changxin Gao. 2016. Similarity learning with top-heavy ranking loss for person re-identification. IEEE Signal Processing Letters 23, 1, 84-88.
    • (2016) IEEE Signal Processing Letters , vol.23 , Issue.1 , pp. 84-88
    • Wang, J.1    Sang, N.2    Wang, Z.3    Gao, C.4
  • 38
    • 61749090884 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • Kilian Q. Weinberger and Lawrence K. Saul. 2009. Distance metric learning for large margin nearest neighbor classification. Journal of Machine Learning Research 10, 207-244.
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 207-244
    • Weinberger, K.Q.1    Saul, L.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.