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Volumn 4678 LNCS, Issue , 2007, Pages 285-296

Patch-based experiments with object classification in video surveillance

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE CLASSIFICATION; PIXELS; VIDEO STREAMING;

EID: 38149048398     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74607-2_26     Document Type: Conference Paper
Times cited : (6)

References (25)
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  • 5
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    • Bose, B., Grimson, W.E.L.: Improving object classification in far-field video. In: Proc. of IEEE Computer Vision and Pattern Recognition (CVPR), Washington, DC, USA, vol. 2, pp. 181-188. IEEE Computer Society Press, Los Alamitos (2004)
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  • 7
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    • Wijnhoven, R., de With, P.: 3d wire-frame object-modeling experiments for video surveillance. In: Proc. of 27th Symposium on Information Theory in the Benelux, pp. 101-108 (2006)
    • Wijnhoven, R., de With, P.: 3d wire-frame object-modeling experiments for video surveillance. In: Proc. of 27th Symposium on Information Theory in the Benelux, pp. 101-108 (2006)
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    • Pea-sift: A more distinctive representation for local image descriptors
    • IEEE, Los Alamitos
    • Ke, Y., Sukthankar, R.: Pea-sift: A more distinctive representation for local image descriptors. In: Proc. of IEEE Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 506-513. IEEE, Los Alamitos (2004)
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    • Mikolajczyk, K., Schmid, C., Zisserman, A.: Human detection based on a probabilistic assembly of robust part detectors. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, 3021, pp. 69-81. Springer, Heidelberg (2004)
    • Mikolajczyk, K., Schmid, C., Zisserman, A.: Human detection based on a probabilistic assembly of robust part detectors. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 69-81. Springer, Heidelberg (2004)
  • 15
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    • Edge-based rich representation for vehicle classification
    • IEEE Computer Society Press, Los Alamitos
    • Ma, X., Grimson, W.: Edge-based rich representation for vehicle classification. In: Proc. of IEEE Int. Conf. on Computer Vision (ICCV), vol. 2, pp. 1185-1192. IEEE Computer Society Press, Los Alamitos (2005)
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    • Ma, X.1    Grimson, W.2
  • 17
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    • Visual features of intermediate complexity and their use in classification
    • Ullman, S., Vidal-Naquet, M., Sali, E.: Visual features of intermediate complexity and their use in classification. Nature Neuroscience 5, 682-687 (2002)
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    • Collobert, R., Bengio, S., Mariethoz, J.: Torch: a modular machine learning software library. Technical report, Dalle Molle Institute for Perceptual Artificial Intelligence, PO Box 592, Martigny, Valais, Switzerland (October 2002)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.