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Volumn , Issue , 2013, Pages 331-338

Pedestrian attribute classification in surveillance: Database and evaluation

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; DATABASE SYSTEMS; SEMANTICS;

EID: 84897538333     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2013.51     Document Type: Conference Paper
Times cited : (118)

References (30)
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    • L. Bourdev and J. Malik. Poselets: Body part detectors trained using 3d human pose annotations. In IEEE International Conference on Computer Vision, pages 1365-1372, 2009.
    • (2009) IEEE International Conference on Computer Vision , pp. 1365-1372
    • Bourdev, L.1    Malik, J.2
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    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting (with discussion and a rejoinder by the authors
    • J. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors). The Annals of Statistics, 28(2):337-407, 2000.
    • (2000) The Annals of Statistics , vol.28 , Issue.2 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 13
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    • 37849037421 scopus 로고    scopus 로고
    • Learning multi-scale block local binary patterns for face recognition
    • Springer
    • S. Liao, X. Zhu, Z. Lei, L. Zhang, and S. Z. Li. Learning multi-scale block local binary patterns for face recognition. In Advances in Biometrics, pages 828-837. Springer, 2007.
    • (2007) Advances in Biometrics , pp. 828-837
    • Liao, S.1    Zhu, X.2    Lei, Z.3    Zhang, L.4    Li, S.Z.5
  • 24
    • 78149314622 scopus 로고    scopus 로고
    • A discriminative latent model of object classes and attributes
    • Y. Wang and G. Mori. A discriminative latent model of object classes and attributes. In European Conference on Computer Vision, pages 155-168. 2010.
    • (2010) European Conference on Computer Vision , pp. 155-168
    • Wang, Y.1    Mori, G.2
  • 26
    • 84867885237 scopus 로고    scopus 로고
    • Online learned discriminative partbased appearance models for multi-human tracking
    • Springer
    • B. Yang and R. Nevatia. Online learned discriminative partbased appearance models for multi-human tracking. In European Conference on Computer Vision, pages 484-498. Springer, 2012.
    • (2012) European Conference on Computer Vision , pp. 484-498
    • Yang, B.1    Nevatia, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.