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Volumn , Issue , 2011, Pages 142-147

Appearance tracking by transduction in surveillance scenarios

Author keywords

[No Author keywords available]

Indexed keywords

APPEARANCE BASED; DATA SETS; PEOPLE TRACKING; RIEMANNIAN MANIFOLD; ROBUST APPROACHES; SEMI-SUPERVISED LEARNING; SPECTRAL GRAPH THEORY; TRACKER ACCURACY; TRANSDUCTIVE LEARNING; UPDATED MODEL; VIDEO SURVEILLANCE; VISUAL APPEARANCE;

EID: 80053978934     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2011.6027309     Document Type: Conference Paper
Times cited : (6)

References (20)
  • 3
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. Proc. of CVPR, pages 886-893, 2005.
    • (2005) Proc. of CVPR , pp. 886-893
    • Dalal, N.1    Triggs, B.2
  • 4
    • 84976601573 scopus 로고    scopus 로고
    • A tutorial on particle filtering and smoothing: Fifteen years later
    • University Press
    • A. Doucet and A.M. Johansen. A tutorial on particle filtering and smoothing: fifteen years later. In In Handbook of Nonlinear Filtering. University Press, 2009.
    • (2009) In Handbook of Nonlinear Filtering
    • Doucet, A.1    Johansen, A.M.2
  • 6
    • 10144223506 scopus 로고    scopus 로고
    • Performance metrics and methods for tracking in surveillance
    • T. J. Ellis. Performance metrics and methods for tracking in surveillance. In PETS, 2002.
    • (2002) PETS
    • Ellis, T.J.1
  • 8
    • 1942484960 scopus 로고    scopus 로고
    • Transductive learning via spectral graph partitioning
    • T. Joachims. Transductive learning via spectral graph partitioning. In Intl. Conf. on Machine Learning, pages 290-297, 2003.
    • (2003) Intl. Conf. on Machine Learning , pp. 290-297
    • Joachims, T.1
  • 9
    • 77955996533 scopus 로고    scopus 로고
    • Visual tracking via incremental self-tuning particle filtering on the affine group
    • M. Li, W. Chen, K. Huang, and T. Tan. Visual tracking via incremental self-tuning particle filtering on the affine group. In Proc. of CVPR, pages 1315-1322, 2010.
    • (2010) Proc. of CVPR , pp. 1315-1322
    • Li, M.1    Chen, W.2    Huang, K.3    Tan, T.4
  • 10
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • Ulrike Luxburg. A tutorial on spectral clustering. Statistics and Computing, 17:395-416, 2007.
    • (2007) Statistics and Computing , vol.17 , pp. 395-416
    • Luxburg, U.1
  • 11
    • 78650861116 scopus 로고    scopus 로고
    • Semi-interactive tracing of persons in real-life surveillance data
    • M.J. Metternich and M. Worring. Semi-interactive tracing of persons in real-life surveillance data. In Proc. of MIFOR, pages 43-48, 2010.
    • (2010) Proc. of MIFOR , pp. 43-48
    • Metternich, M.J.1    Worring, M.2
  • 12
    • 72349092846 scopus 로고    scopus 로고
    • Regressed importance sampling on manifolds for efficient object tracking
    • F. Porikli and P. Pan. Regressed importance sampling on manifolds for efficient object tracking. In Proc. of AVSS, pages 406-411, 2009.
    • (2009) Proc. of AVSS , pp. 406-411
    • Porikli, F.1    Pan, P.2
  • 13
    • 33745818927 scopus 로고    scopus 로고
    • Region Covariance: A Fast Descriptor for Detection and Classification
    • O. Tuzel, F. Porikli and P. Meer. Region Covariance: A Fast Descriptor for Detection And Classification. In Proc. of 9th ECCV, pages 589-600, 2006.
    • (2006) Proc. of 9th ECCV , pp. 589-600
    • Tuzel, O.1    Porikli, F.2    Meer, P.3
  • 17
    • 85067707386 scopus 로고    scopus 로고
    • Real-time visual tracking via incremental covariance tensor learning
    • Y.Wu, J. Cheng, J.Wang, and H. Lu. Real-time visual tracking via incremental covariance tensor learning. In Intl. Conf. on Computer Vision, pages 1631-1638, 2009.
    • (2009) Intl. Conf. on Computer Vision , pp. 1631-1638
    • Wu, Y.1    Cheng, J.2    Wang, J.3    Lu, H.4
  • 20
    • 68949159826 scopus 로고    scopus 로고
    • Graph-based transductive learning for robust visual tracking
    • Y. Zha, Y. Yang, and D. Bi. Graph-based transductive learning for robust visual tracking. Pattern Recogn., 43:187-196, 2010.
    • (2010) Pattern Recogn. , vol.43 , pp. 187-196
    • Zha, Y.1    Yang, Y.2    Bi, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.