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Volumn , Issue , 2010, Pages 3336-3339

Vehicle recognition as changes in satellite imagery

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN; CHANGE DETECTION; COMPOSITIONAL MODELS; DETECTION ACCURACY; GAUSSIAN INTENSITY; PROBABILISTIC REPRESENTATION; RECOGNITION ALGORITHM; VEHICLE DETECTION; VEHICLE RECOGNITION; VOLUMETRIC MODELING; VOLUMETRIC MODELS;

EID: 78149478489     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.1144     Document Type: Conference Paper
Times cited : (5)

References (9)
  • 2
    • 35148867545 scopus 로고    scopus 로고
    • Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts
    • S. Fidler, A. Leonardis, "Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts," Proc. IEEE Conf. on CVPR, 1-8, 2007.
    • (2007) Proc. IEEE Conf. on CVPR , pp. 1-8
    • Fidler, S.1    Leonardis, A.2
  • 3
    • 33845568397 scopus 로고    scopus 로고
    • Context and Hierarchy in a Probabilistic Image Model
    • Y. Jin, S. Geman, "Context and Hierarchy in a Probabilistic Image Model," CVPR, 2:2145-2152, 2006.
    • (2006) CVPR , vol.2 , pp. 2145-2152
    • Jin, Y.1    Geman, S.2
  • 4
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe, "Distinctive image features from scale-invariant keypoints," IJCV, 60(2):91-110, 2004.
    • (2004) IJCV , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 9
    • 65249140851 scopus 로고    scopus 로고
    • How many pixels make an image?
    • A. Torralba, "How many pixels make an image?" Visual Neuroscience, 26: 123-131, 2009.
    • (2009) Visual Neuroscience , vol.26 , pp. 123-131
    • Torralba, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.