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Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 3253-3261

COUNT forest: Co-voting uncertain number of targets using random forest for crowd density estimation

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; ESTIMATION;

EID: 84973926598     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.372     Document Type: Conference Paper
Times cited : (408)

References (31)
  • 1
    • 84926322928 scopus 로고    scopus 로고
    • Mall dataset. www. eecs. qmul. Ac. uk/ccloy/ downloads-mall-dataset. html.
    • Mall Dataset
  • 2
    • 84929259884 scopus 로고    scopus 로고
    • Ucsd dataset. www. svcl. ucsd. edu/projects/ peoplecnt/.
    • Ucsd Dataset
  • 3
    • 0001492549 scopus 로고    scopus 로고
    • Shape quantization and recognition with randomized trees
    • Y. Amit and D. Geman. Shape quantization and recognition with randomized trees. Neural Computation, 9(7):1545-1588, 1997.
    • (1997) Neural Computation , vol.9 , Issue.7 , pp. 1545-1588
    • Amit, Y.1    Geman, D.2
  • 7
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. Machine Learning, 45(1):5-32, 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 8
    • 33845582996 scopus 로고    scopus 로고
    • Unsupervised Bayesian detection of independent motion
    • G. J. Brostow and R. Cipolla. Unsupervised Bayesian detection of independent motion. In Proc. Comp. Vision Pattern Rec., pages 594-601, 2006.
    • (2006) Proc. Comp. Vision Pattern Rec. , pp. 594-601
    • Brostow, G.J.1    Cipolla, R.2
  • 9
    • 51949104316 scopus 로고    scopus 로고
    • Privacy preserving crowd monitoring: Counting people without people models or tracking
    • A. B. Chan, Z. S. J. Liang, and N. Vasconcelos. Privacy preserving crowd monitoring: Counting people without people models or tracking. In Proc. Comp. Vision and Pattern Rec., pages 1-7, 2008.
    • (2008) Proc. Comp. Vision and Pattern Rec. , pp. 1-7
    • Chan, A.B.1    Liang, Z.S.J.2    Vasconcelos, N.3
  • 10
    • 84887355589 scopus 로고    scopus 로고
    • Cumulative attribute space for age and crowd density estimation
    • K. Chen, S. Gong, T. Xiang, and C. C. Loy. Cumulative attribute space for age and crowd density estimation. In Proc. Comp. Vision Pattern Rec., pages 2467-2474, 2013.
    • (2013) Proc. Comp. Vision Pattern Rec. , pp. 2467-2474
    • Chen, K.1    Gong, S.2    Xiang, T.3    Loy, C.C.4
  • 17
    • 70450201402 scopus 로고    scopus 로고
    • Class-specific hough forests for object detection
    • J. Gall and V. Lempitsky. Class-specific hough forests for object detection. In Proc. Comp. Vision Pattern Rec., pages 1022-1029, 2009.
    • (2009) Proc. Comp. Vision Pattern Rec. , pp. 1022-1029
    • Gall, J.1    Lempitsky, V.2
  • 18
  • 19
    • 70450161263 scopus 로고    scopus 로고
    • Marked point processes for crowd counting
    • W. Ge and R. Collins. Marked point processes for crowd counting. In Proc. Comp. Vision Pattern Rec., pages 2913-2920, 2009.
    • (2009) Proc. Comp. Vision Pattern Rec. , pp. 2913-2920
    • Ge, W.1    Collins, R.2
  • 22
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by random forest
    • A. Liaw and M. Wiener. Classification and regression by random forest. R news, 2(3):18-22, 2002.
    • (2002) R News , vol.2 , Issue.3 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 23
    • 84898795504 scopus 로고    scopus 로고
    • From semi-supervised to transfer counting of crowds
    • C. C. Loy, S. Gong, and T. Xiang. From semi-supervised to transfer counting of crowds. In Proc. Int. Conf. Comp. Vision, pages 2256-2263, 2013.
    • (2013) Proc. Int. Conf. Comp. Vision , pp. 2256-2263
    • Loy, C.C.1    Gong, S.2    Xiang, T.3
  • 24
    • 77953178515 scopus 로고    scopus 로고
    • Discriminative generalized hough transform for object dectection
    • R. Okada. Discriminative generalized hough transform for object dectection. In Proc. Int. Conf. Comp. Vision, pages 2000-2005, 2009.
    • (2009) Proc. Int. Conf. Comp. Vision , pp. 2000-2005
    • Okada, R.1
  • 28
    • 77955995201 scopus 로고    scopus 로고
    • A hough transform-based voting framework for action recognition
    • A. Yao, J. Gall, and L. Van Gool. A hough transform-based voting framework for action recognition. In Proc. Comp. Vision Pattern Rec., pages 2061-2068, 2010.
    • (2010) Proc. Comp. Vision Pattern Rec. , pp. 2061-2068
    • Yao, A.1    Gall, J.2    Van Gool, L.3
  • 30
    • 45349088897 scopus 로고    scopus 로고
    • Segmentation and tracking of multiple humans in
    • T. Zhao, R. Nevatia, and B. Wu. Segmentation and tracking of multiple humans in. Trans. Pattern Anal. Mach. Intell., 30(7):1198-1211, 2008.
    • (2008) Trans. Pattern Anal. Mach. Intell. , vol.30 , Issue.7 , pp. 1198-1211
    • Zhao, T.1    Nevatia, R.2    Wu, B.3
  • 31
    • 84866645335 scopus 로고    scopus 로고
    • Understanding collective crowd behaviors: Learning a mixture model of dynamic pedestrian-agents
    • B. Zhou, X. Wang, and X. Tang. Understanding collective crowd behaviors: Learning a mixture model of dynamic pedestrian-agents. In Proc. Comp. Vision Pattern Rec., pages 2871-2878, 2012.
    • (2012) Proc. Comp. Vision Pattern Rec. , pp. 2871-2878
    • Zhou, B.1    Wang, X.2    Tang, X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.