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Volumn , Issue , 2013, Pages 112-120

Robust real-time tracking with diverse ensembles and random projections

Author keywords

Compressive tracking; Detection; Diversity; Ensembles; Multiple classifier systems; Random projections; Random subspace method; Tracking

Indexed keywords

COMPUTER SCIENCE; ELECTRICAL ENGINEERING; ERROR DETECTION; SURFACE DISCHARGES;

EID: 84897503184     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2013.21     Document Type: Conference Paper
Times cited : (14)

References (36)
  • 3
    • 78149304059 scopus 로고    scopus 로고
    • Cascaded confidence filtering for improved tracking-by-detection
    • Springer Berlin Heidelberg
    • Stalder, S., Grabner, H., & Van Gool, L. (2010). Cascaded confidence filtering for improved tracking-by-detection. In Computer Vision-ECCV 2010 (pp. 369-382). Springer Berlin Heidelberg.
    • (2010) Computer Vision-ECCV 2010 , pp. 369-382
    • Stalder, S.1    Grabner, H.2    Van Gool, L.3
  • 5
    • 84898020313 scopus 로고    scopus 로고
    • Real-time tracking via on-line boosting
    • September
    • Grabner, H., Grabner, M., & Bischof, H. (2006, September). Real-Time Tracking via On-line Boosting. In BMVC (Vol. 1, No. 5, p. 6).
    • (2006) BMVC , vol.1 , Issue.5 , pp. 6
    • Grabner, H.1    Grabner, M.2    Bischof, H.3
  • 9
    • 70349316570 scopus 로고    scopus 로고
    • Diversitybased classifier selection for adaptive object tracking
    • Springer Berlin Heidelberg
    • Visentini, I., Kittler, J., & Foresti, G. L. (2009). Diversitybased classifier selection for adaptive object tracking. In Multiple Classifier Systems (pp. 438-447). Springer Berlin Heidelberg.
    • (2009) Multiple Classifier Systems , pp. 438-447
    • Visentini, I.1    Kittler, J.2    Foresti, L.G.3
  • 10
    • 77949913486 scopus 로고    scopus 로고
    • The impact of diversity on online ensemble learning in the presence of concept drift
    • Minku, L. L., White, A. P., & Yao, X. (2010). The impact of diversity on online ensemble learning in the presence of concept drift. Knowledge and Data Engineering, IEEE Transactions on, 22(5), 730-742.
    • (2010) Knowledge and Data Engineering, IEEE Transactions on , vol.22 , Issue.5 , pp. 730-742
    • Minku, L.L.1    White, P.A.2    Yao, X.3
  • 13
    • 0035463825 scopus 로고    scopus 로고
    • Democratic integration: Self-organized integration of adaptive cues
    • Triesch, J., & Von Der Malsburg, C. (2001). Democratic integration: Self-organized integration of adaptive cues. Neural computation, 13(9), 2049-2074.
    • (2001) Neural Computation , vol.13 , Issue.9 , pp. 2049-2074
    • Triesch, J.1    Von Der Malsburg, C.2
  • 14
    • 3543134710 scopus 로고    scopus 로고
    • Robust visual tracking by integrating multiple cues based on co-inference learning
    • Wu, Y., & Huang, T. S. (2004). Robust visual tracking by integrating multiple cues based on co-inference learning. International Journal of Computer Vision, 58(1), 55-71.
    • (2004) International Journal of Computer Vision , vol.58 , Issue.1 , pp. 55-71
    • Wu, Y.1    Huang, S.T.2
  • 15
    • 4544326145 scopus 로고    scopus 로고
    • Towards robust multicue integration for visual tracking
    • Spengler, M., & Schiele, B. (2003). Towards robust multicue integration for visual tracking. Machine Vision and Applications, 14(1), 50-58.
    • (2003) Machine Vision and Applications , vol.14 , Issue.1 , pp. 50-58
    • Spengler, M.1    Schiele, B.2
  • 16
    • 0032136153 scopus 로고    scopus 로고
    • Condensation-conditional density propagation for visual tracking
    • Isard, M., & Blake, A. (1998). Condensation-conditional density propagation for visual tracking. International journal of computer vision, 29(1), 5-28.
    • (1998) International Journal of Computer Vision , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 20
    • 84937572580 scopus 로고    scopus 로고
    • Fusion of multiple tracking algorithms for robust people tracking
    • May
    • Siebel, N. T., & Maybank, S. (2002, May). Fusion of multiple tracking algorithms for robust people tracking. In ECCV (4) (pp. 373-387).
    • (2002) ECCV , Issue.4 , pp. 373-387
    • Siebel, T.N.1    Maybank, S.2
  • 21
    • 35048862917 scopus 로고    scopus 로고
    • That elusive diversity in classifier ensembles
    • Springer Berlin Heidelberg
    • Kuncheva, L. I. (2003). That elusive diversity in classifier ensembles. In Pattern Recognition and Image Analysis (pp. 1126-1138). Springer Berlin Heidelberg.
    • (2003) Pattern Recognition and Image Analysis , pp. 1126-1138
    • Kuncheva, I.L.1
  • 27
    • 33646258047 scopus 로고    scopus 로고
    • Random subspace method for multivariate feature selection
    • Lai, C., Reinders, M. J., & Wessels, L. (2006). Random subspace method for multivariate feature selection. Pattern Recognition Letters, 27(10), 1067-1076.
    • (2006) Pattern Recognition Letters , vol.27 , Issue.10 , pp. 1067-1076
    • Lai, C.1    Reinders, J.M.2    Wessels, L.3
  • 28
    • 84957007471 scopus 로고    scopus 로고
    • Bagging and the random subspace method for redundant feature spaces
    • Springer Berlin Heidelberg
    • Skurichina, M., & Duin, R. P. (2001). Bagging and the random subspace method for redundant feature spaces. In Multiple Classifier Systems (pp. 1-10). Springer Berlin Heidelberg.
    • (2001) Multiple Classifier Systems , pp. 1-10
    • Skurichina, M.1    Duin, P.R.2
  • 29
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L. (2001). Random forests. Machine learning, 45(1), 5-32.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 32
    • 0038166193 scopus 로고    scopus 로고
    • Database-friendly random projections: Johnson-Lindenstrauss with binary coins
    • Achlioptas, D.: Database-friendly random projections: Johnson-Lindenstrauss with binary coins. J. Comput. Syst. Sci 66, 671-687 (2003)
    • (2003) J. Comput. Syst. Sci , vol.66 , pp. 671-687
    • Achlioptas, D.1
  • 33
    • 84867872820 scopus 로고    scopus 로고
    • Real-time compressive tracking
    • Springer Berlin Heidelberg
    • Zhang, K., Zhang, L., & Yang, M. H. (2012). Real-time compressive tracking. In Computer Vision-ECCV 2012 (pp. 864-877). Springer Berlin Heidelberg.
    • (2012) Computer Vision-ECCV 2012 , pp. 864-877
    • Zhang, K.1    Zhang, L.2    Yang, H.M.3
  • 34
    • 55649115527 scopus 로고    scopus 로고
    • A simple proof of the restricted isometry property for random matrices
    • Baraniuk, R., Davenport, M., DeVore, R., & Wakin, M. (2008). A simple proof of the restricted isometry property for random matrices. Constructive Approximation, 28(3), 253-263.
    • (2008) Constructive Approximation , vol.28 , Issue.3 , pp. 253-263
    • Baraniuk, R.1    Davenport, M.2    Devore, R.3    Wakin, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.