메뉴 건너뛰기




Volumn , Issue , 2013, Pages 145-152

Graph embedding based semi-supervised discriminative tracker

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS;

EID: 84897499884     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2013.25     Document Type: Conference Paper
Times cited : (14)

References (27)
  • 1
    • 33845596140 scopus 로고    scopus 로고
    • Robust fragments-based tracking using the integral histogram
    • A. Adam, E. Rivlin, and I. Shimshoni. Robust fragments-based tracking using the integral histogram. In CVPR, 2006.
    • (2006) CVPR
    • Adam, A.1    Rivlin, E.2    Shimshoni, I.3
  • 2
    • 79959527478 scopus 로고    scopus 로고
    • Robust object tracking with online multiple instance learning
    • B. Babenko, M. Yang, and S. Belongie. Robust object tracking with online multiple instance learning. Trans. on PAMI, 33(8):1619-1632, 2011.
    • (2011) Trans. on PAMI , vol.33 , Issue.8 , pp. 1619-1632
    • Babenko, B.1    Yang, M.2    Belongie, S.3
  • 3
    • 49049111209 scopus 로고    scopus 로고
    • Semi-supervised discriminant analysis
    • D. Cai, X. He, and J. Han. Semi-supervised discriminant analysis. In ICCV, 2007.
    • (2007) ICCV
    • Cai, D.1    He, X.2    Han, J.3
  • 4
    • 24644496298 scopus 로고    scopus 로고
    • Local discriminant embedding and its variants
    • H. Chen, H. Chang, and T. Liu. Local discriminant embedding and its variants. In CVPR, 2005.
    • (2005) CVPR
    • Chen, H.1    Chang, H.2    Liu, T.3
  • 5
    • 77949722130 scopus 로고    scopus 로고
    • Learning with 1-graph for image analysis
    • B. Cheng, J. Yang, S. Yan, Y. Fu, and T. Huang. Learning with 1-graph for image analysis. Trans. on IP, 19(4):858-866, 2010.
    • (2010) Trans. on IP , vol.19 , Issue.4 , pp. 858-866
    • Cheng, B.1    Yang, J.2    Yan, S.3    Fu, Y.4    Huang, T.5
  • 7
    • 84898020313 scopus 로고    scopus 로고
    • Real-time tracking via on-line boosting
    • H. Grabner, M. Grabner, and H. Bischof. Real-time tracking via on-line boosting. In BMVC, 2006.
    • (2006) BMVC
    • Grabner, H.1    Grabner, M.2    Bischof, H.3
  • 8
    • 70350531007 scopus 로고    scopus 로고
    • Semi-supervised on-line boosting for robust tracking
    • H. Grabner, C. Leistner, and H. Bischof. Semi-supervised on-line boosting for robust tracking. In ECCV, 2008.
    • (2008) ECCV
    • Grabner, H.1    Leistner, C.2    Bischof, H.3
  • 9
    • 84867787204 scopus 로고    scopus 로고
    • Single and multiple object tracking using log-euclidean riemannian subspace and blockdivision appearance model
    • W. Hu, X. Li, W. Luo, X. Zhang, S. Maybank, and Z. Zhang. Single and multiple object tracking using log-euclidean riemannian subspace and blockdivision appearance model. Trans. on PAMI, 34(12):2420-2440, 2012.
    • (2012) Trans. on PAMI , vol.34 , Issue.12 , pp. 2420-2440
    • Hu, W.1    Li, X.2    Luo, W.3    Zhang, X.4    Maybank, S.5    Zhang, Z.6
  • 10
    • 71149102018 scopus 로고    scopus 로고
    • Graph construction and b-matching for semisupervised learning
    • T. Jebara, J.Wang, and S. Chang. Graph construction and b-matching for semisupervised learning. In ICML, 2009.
    • (2009) ICML
    • Jebara, T.1    Wang, J.2    Chang, S.3
  • 11
    • 77955995205 scopus 로고    scopus 로고
    • Visual tracking decomposition
    • J. Kwon and K. Lee. Visual tracking decomposition. In CVPR, 2010.
    • (2010) CVPR
    • Kwon, J.1    Lee, K.2
  • 12
    • 84863049929 scopus 로고    scopus 로고
    • Tracking by sampling trackers
    • J. Kwon and K. Lee. Tracking by sampling trackers. In ICCV, 2011.
    • (2011) ICCV
    • Kwon, J.1    Lee, K.2
  • 13
    • 84863027027 scopus 로고    scopus 로고
    • Treat samples differently: Object tracking with semi-supervised online covboost
    • G. Li, L. Qin, Q. Huang, J. Pang, and S. Jiang. Treat samples differently: object tracking with semi-supervised online covboost. In ICCV, 2011.
    • (2011) ICCV
    • Li, G.1    Qin, L.2    Huang, Q.3    Pang, J.4    Jiang, S.5
  • 14
    • 84863059324 scopus 로고    scopus 로고
    • Robust object tracking with boosted discriminative model via graph embedding
    • W. Li, X. Zhang, W. Luo, W. Hu, H. Ling, and O. Wu. Robust object tracking with boosted discriminative model via graph embedding. In ICCV Workshops, 2011.
    • (2011) ICCV Workshops
    • Li, W.1    Zhang, X.2    Luo, W.3    Hu, W.4    Ling, H.5    Wu, O.6
  • 15
    • 84863079133 scopus 로고    scopus 로고
    • Graph mode-based contextual kernels for robust svm tracking
    • X. Li, A. Dick, H. Wang, C. Shen, and A. van den Hengel. Graph mode-based contextual kernels for robust svm tracking. In ICCV, 2011.
    • (2011) ICCV
    • Li, X.1    Dick, A.2    Wang, H.3    Shen, C.4    Hengel Den A.Van5
  • 16
    • 51949098579 scopus 로고    scopus 로고
    • Visual tracking via incremental log-euclidean riemannian subspace learning
    • X. Li, W. Hu, Z. Zhang, M. Zhu, and J. Cheng. Visual tracking via incremental log-euclidean riemannian subspace learning. In CVPR, 2008.
    • (2008) CVPR
    • Li, X.1    Hu, W.2    Zhang, Z.3    Zhu, M.4    Cheng, J.5
  • 17
    • 33845598510 scopus 로고    scopus 로고
    • Covariance tracking using model update based on lie algebra
    • F. Porikli, O. Tuzel, and P. Meer. Covariance tracking using model update based on lie algebra. In CVPR, 2006.
    • (2006) CVPR
    • Porikli, F.1    Tuzel, O.2    Meer, P.3
  • 18
    • 39749173057 scopus 로고    scopus 로고
    • Incremental learning for robust visual tracking
    • D. A. Ross, J. Lim, R. Lin, and M. Yang. Incremental learning for robust visual tracking. Int. J. Comp. Vis., 77(1):125-141, 2008.
    • (2008) Int. J. Comp. Vis. , vol.77 , Issue.1 , pp. 125-141
    • Ross, D.A.1    Lim, J.2    Lin, R.3    Yang, M.4
  • 19
    • 44649132677 scopus 로고    scopus 로고
    • A unified framework for semi-supervised dimensionality reduction
    • Y. Song, F. Nie, C. Zhang, and S. Xiang. A unified framework for semi-supervised dimensionality reduction. Journal of Pattern Recognition, 41(9):2789-2799, 2008.
    • (2008) Journal of Pattern Recognition , vol.41 , Issue.9 , pp. 2789-2799
    • Song, Y.1    Nie, F.2    Zhang, C.3    Xiang, S.4
  • 20
    • 34249086815 scopus 로고    scopus 로고
    • Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis
    • M. Sugiyama. Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis. Journal of Machine Learning Research, 8:1027-1061, 2007.
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 1027-1061
    • Sugiyama, M.1
  • 24
    • 33947194180 scopus 로고    scopus 로고
    • Graph embedding and extensions: A general framework for dimensionality reduction
    • S. Yan, D. Xu, B. Zhang, H. Zhang, Q. Yang, and S. Lin. Graph embedding and extensions: A general framework for dimensionality reduction. Trans. on PAMI, 29:40-51, 2007.
    • (2007) Trans. on PAMI , vol.29 , pp. 40-51
    • Yan, S.1    Xu, D.2    Zhang, B.3    Zhang, H.4    Yang, Q.5    Lin, S.6
  • 25
    • 84898995558 scopus 로고    scopus 로고
    • Self-tuning spectral clustering
    • L. Zelnik-Manor and P. Perona. Self-tuning spectral clustering. In NIPS, 2005.
    • (2005) NIPS
    • Zelnik-Manor, L.1    Perona, P.2
  • 26
    • 50649088216 scopus 로고    scopus 로고
    • Graph based discriminative learning for robust and efficient object tracking
    • X. Zhang, W. Hu, S. Maybank, and X. Li. Graph based discriminative learning for robust and efficient object tracking. In ICCV, 2007.
    • (2007) ICCV
    • Zhang, X.1    Hu, W.2    Maybank, S.3    Li, X.4
  • 27
    • 84866660023 scopus 로고    scopus 로고
    • Non-negative low rank and sparse graph for semi-supervised learning
    • L. Zhuang, H. Gao, Z. Lin, Y. Ma, X. Zhang, and N. Yu. Non-negative low rank and sparse graph for semi-supervised learning. In CVPR, 2012.
    • (2012) CVPR
    • Zhuang, L.1    Gao, H.2    Lin, Z.3    Ma, Y.4    Zhang, X.5    Yu, N.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.