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Volumn 2626, Issue , 2003, Pages 502-512

Context based object detection from video

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ARCHITECTURE; OBJECT RECOGNITION; QUALITY OF SERVICE; SEMANTICS;

EID: 84886614585     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36592-3_48     Document Type: Conference Paper
Times cited : (17)

References (25)
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    • Implicit learning in 3D object recognition: The importance of temporal context
    • S. Becker. Implicit learning in 3D object recognition: The importance of temporal context. Neural Computation, 11(2): 347-374, 1999.
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 347-374
    • Becker, S.1
  • 3
    • 0032310565 scopus 로고    scopus 로고
    • Color- and texture-based image segmentation using em and its applications to content-based image retrieval
    • Bombay, India
    • S. Belongie, C. Carson, H. Greenspan, and J. Malik. Color- and texture-based image segmentation using em and its applications to content-based image retrieval. In Proc. International Conference on Computer Vision, pages 675-682. Bombay, India, 1998.
    • (1998) Proc. International Conference on Computer Vision , pp. 675-682
    • Belongie, S.1    Carson, C.2    Greenspan, H.3    Malik, J.4
  • 8
    • 0012445072 scopus 로고    scopus 로고
    • Learning control strategies for object recognition
    • K. Ikeuchi and M. Veloso, editors chapter 3 Oxford University Press, New York
    • B. A. Draper. Learning control strategies for object recognition. In K. Ikeuchi and M. Veloso, editors, Symbolic Visual Learning, chapter 3, pages 49-76. Oxford University Press, New York, 1997.
    • (1997) Symbolic Visual Learning , pp. 49-76
    • Draper, B.A.1
  • 13
    • 0031570069 scopus 로고    scopus 로고
    • Seemore: Combining color, shape, and texture histogramming in a neurally-inspired approach to visual object recognition
    • B. Mel. Seemore: Combining color, shape, and texture histogramming in a neurally-inspired approach to visual object recognition. Neural Computation, 9: 777-804, 1997.
    • (1997) Neural Computation , vol.9 , pp. 777-804
    • Mel, B.1
  • 15
    • 0035281949 scopus 로고    scopus 로고
    • A probabilistic framework for semantic video indexing, filtering, and retrieval
    • M.R. Naphade and T.S. Huang. A probabilistic framework for semantic video indexing, filtering, and retrieval. IEEE Transactions on Multimedia, 3(1): 141-151, 2001.
    • (2001) IEEE Transactions on Multimedia , vol.3 , Issue.1 , pp. 141-151
    • Naphade, M.R.1    Huang, T.S.2
  • 18
    • 0033741106 scopus 로고    scopus 로고
    • Active object recognition by view integration and reinforcement learning
    • L. Paletta and A. Pinz. Active object recognition by view integration and reinforcement learning. Robotics and Autonomous Systems, 31(1-2): 71-86, 2000.
    • (2000) Robotics and Autonomous Systems , vol.31 , Issue.1-2 , pp. 71-86
    • Paletta, L.1    Pinz, A.2
  • 20
    • 0041954375 scopus 로고    scopus 로고
    • Automatic target recognition XII
    • Aerosense 2002, Orlando, FL
    • F. Sadjadi. Automatic Target Recognition XII. Proc. of SPIE Vol. 4726, Aerosense 2002, Orlando, FL, 2002.
    • (2002) Proc. of SPIE , vol.4726
    • Sadjadi, F.1
  • 22
    • 0033872313 scopus 로고    scopus 로고
    • Recognition without correspondence using multidimensional receptive field histograms
    • B. Schiele and J.L. Crowley. Recognition without correspondence using multidimensional receptive field histograms. International Journal of Computer Vision, pages 31-50, 2000.
    • (2000) International Journal of Computer Vision , pp. 31-50
    • Schiele, B.1    Crowley, J.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.