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Volumn , Issue , 2013, Pages 3222-3229

Modeling mutual visibility relationship in pedestrian detection

Author keywords

deep; deep belief net; deep learning; deep model; human detection; object detection; part based model; Pedestrian Detection

Indexed keywords

DEEP; DEEP BELIEF NET; DEEP LEARNING; HUMAN DETECTION; OBJECT DETECTION; PART-BASED MODELS; PEDESTRIAN DETECTION;

EID: 84887380448     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.414     Document Type: Conference Paper
Times cited : (128)

References (40)
  • 3
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • 6
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005. 6
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2
  • 5
    • 77953180995 scopus 로고    scopus 로고
    • Discriminative models for multi-class object layout
    • 2
    • C. Desai, D. Ramanan, and C. Fowlkes. Discriminative models for multi-class object layout. In ICCV, 2009. 2
    • (2009) ICCV
    • Desai, C.1    Ramanan, D.2    Fowlkes, C.3
  • 6
    • 84866724839 scopus 로고    scopus 로고
    • Contextual boost for pedestrian detection
    • 2, 6
    • Y. Ding and J. Xiao. Contextual boost for pedestrian detection. In CVPR, 2012. 2, 6
    • (2012) CVPR
    • Ding, Y.1    Xiao, J.2
  • 7
    • 84885880876 scopus 로고    scopus 로고
    • Crosstalk cascades for frame-rate pedestrian detection
    • 6
    • P. Dollár, R. Appel, and W. Kienzle. Crosstalk cascades for frame-rate pedestrian detection. In ECCV, 2012. 6
    • (2012) ECCV
    • Dollár, P.1    Appel, R.2    Kienzle, W.3
  • 8
    • 84898465753 scopus 로고    scopus 로고
    • The fastest pedestrian detector in the west
    • 6
    • P. Dollár, S. Belongie, and P. Perona. The fastest pedestrian detector in the west. In BMVC, 2010. 6
    • (2010) BMVC
    • Dollár, P.1    Belongie, S.2    Perona, P.3
  • 10
    • 84862886836 scopus 로고    scopus 로고
    • A structural filter approach to human detection
    • 2
    • G. Duan, H. Ai, and S. Lao. A structural filter approach to human detection. In ECCV, 2010. 2
    • (2010) ECCV
    • Duan, G.1    Ai, H.2    Lao, S.3
  • 11
    • 77955998866 scopus 로고    scopus 로고
    • Multi-cue pedestrian classification with partial occlusion handling
    • 2
    • M. Enzweiler, A. Eigenstetter, B. Schiele, and D. M. Gavrila. Multi-cue pedestrian classification with partial occlusion handling. In CVPR, 2010. 2
    • (2010) CVPR
    • Enzweiler, M.1    Eigenstetter, A.2    Schiele, B.3    Gavrila, D.M.4
  • 13
    • 50249083612 scopus 로고    scopus 로고
    • Depth and appearance for mobile scene analysis
    • 6
    • A. Ess, B. Leibe, and L. V. Gool. Depth and appearance for mobile scene analysis. In ICCV, 2007. 6
    • (2007) ICCV
    • Ess, A.1    Leibe, B.2    Gool, L.V.3
  • 15
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • 5
    • G. E. Hinton. Training products of experts by minimizing contrastive divergence. Neural Computation, 14:1771-1800, 2002. 5
    • (2002) Neural Computation , vol.14 , pp. 1771-1800
    • Hinton, G.E.1
  • 16
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • 2, 5
    • G. E. Hinton, S. Osindero, and Y. Teh. A fast learning algorithm for deep belief nets. Neural Computation, 18:1527-1554, 2006. 2, 5
    • (2006) Neural Computation , vol.18 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.3
  • 17
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • July 2
    • G. E. Hinton and R. R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 313(5786):504-507, July 2006. 2
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 18
    • 84887391325 scopus 로고    scopus 로고
    • What is the best multi-stage architecture for object recognition
    • 2
    • K. Jarrett, K. Kavukcuoglu, M. Ranzato, and Y. LeCun. What is the best multi-stage architecture for object recognition? In CVPR, 2009. 2
    • (2009) CVPR
    • Jarrett, K.1    Kavukcuoglu, K.2    Ranzato, M.3    Lecun, Y.4
  • 19
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • 2, 3
    • A. Krizhevsky, I. Sutskever, and G. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012. 2, 3
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.3
  • 20
    • 71149119164 scopus 로고    scopus 로고
    • Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
    • 2
    • H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In ICML, 2009. 2
    • (2009) ICML
    • Lee, H.1    Grosse, R.2    Ranganath, R.3    Ng, A.Y.4
  • 21
    • 33744792263 scopus 로고    scopus 로고
    • Pedestrian detection in crowded scenes
    • 2
    • B. Leibe, E. Seemann, and B. Schiele. Pedestrian detection in crowded scenes. In CVPR, 2005. 2
    • (2005) CVPR
    • Leibe, B.1    Seemann, E.2    Schiele, B.3
  • 22
    • 50649104325 scopus 로고    scopus 로고
    • Hierarchical part-template matching for human detection and segmentation
    • 2
    • Z. Lin, L. S. Davis, D. Doermann, and D. DeMenthon. Hierarchical part-template matching for human detection and segmentation. In ICCV, 2007. 2
    • (2007) ICCV
    • Lin, Z.1    Davis, L.S.2    Doermann, D.3    Dementhon, D.4
  • 23
    • 84866665255 scopus 로고    scopus 로고
    • Hierarchical face parsing via deep learning
    • 2
    • P. Luo, X. Wang, and X. Tang. Hierarchical face parsing via deep learning. In CVPR, 2012. 2
    • (2012) CVPR
    • Luo, P.1    Wang, X.2    Tang, X.3
  • 24
    • 70450159350 scopus 로고    scopus 로고
    • Stacks of convolutional restricted boltzmann machines for shift-invariant feature learning
    • 2, 3
    • M. Norouzi, M. Ranjbar, and G. Mori. Stacks of convolutional restricted boltzmann machines for shift-invariant feature learning. In CVPR, 2009. 2, 3
    • (2009) CVPR
    • Norouzi, M.1    Ranjbar, M.2    Mori, G.3
  • 25
    • 84866696906 scopus 로고    scopus 로고
    • A discriminative deep model for pedestrian detection with occlusion handling
    • 1, 2, 3, 6
    • W. Ouyang and X. Wang. A discriminative deep model for pedestrian detection with occlusion handling. In CVPR, 2012. 1, 2, 3, 6
    • (2012) CVPR
    • Ouyang, W.1    Wang, X.2
  • 26
    • 84887365811 scopus 로고    scopus 로고
    • Single-pedestrian detection aided by multi-pedestrian detection
    • 2
    • W. Ouyang and X. Wang. Single-pedestrian detection aided by multi-pedestrian detection. In CVPR, 2013. 2
    • (2013) CVPR
    • Ouyang, W.1    Wang, X.2
  • 27
    • 79960215740 scopus 로고    scopus 로고
    • Multiresolution models for object detection
    • 2, 6
    • D. Park, D. Ramanan, and C. Fowlkes. Multiresolution models for object detection. In ECCV, 2010. 2, 6
    • (2010) ECCV
    • Park, D.1    Ramanan, D.2    Fowlkes, C.3
  • 28
    • 80052877144 scopus 로고    scopus 로고
    • On deep generative models with applications to recognition
    • 2
    • M. Ranzato, J. Susskind, V. Mnih, and G. Hinton. On deep generative models with applications to recognition. In CVPR, 2011. 2
    • (2011) CVPR
    • Ranzato, M.1    Susskind, J.2    Mnih, V.3    Hinton, G.4
  • 29
    • 34948865764 scopus 로고    scopus 로고
    • Bilattice-based logical reasoning for human detection
    • 2
    • V. D. Shet, J. Neumann, V. Ramesh, and L. S. Davis. Bilattice-based logical reasoning for human detection. In CVPR, 2007. 2
    • (2007) CVPR
    • Shet, V.D.1    Neumann, J.2    Ramesh, V.3    Davis, L.S.4
  • 30
    • 84898407532 scopus 로고    scopus 로고
    • Detection and tracking of occluded people
    • 2, Surrey, UK
    • S. Tang, M. Andriluka, and B. Schiele. Detection and tracking of occluded people. In BMVC, Surrey, UK, 2012. 2
    • (2012) BMVC
    • Tang, S.1    Andriluka, M.2    Schiele, B.3
  • 31
    • 77956007891 scopus 로고    scopus 로고
    • New features and insights for pedestrian detection
    • 2, 6
    • S. Walk, N. Majer, K. Schindler, and B. Schiele. New features and insights for pedestrian detection. In CVPR, 2010. 2, 6
    • (2010) CVPR
    • Walk, S.1    Majer, N.2    Schindler, K.3    Schiele, B.4
  • 32
    • 77956000059 scopus 로고    scopus 로고
    • An hog-lbp human detector with partial occlusion handling
    • 2
    • X. Wang, X. Han, and S. Yan. An hog-lbp human detector with partial occlusion handling. In CVPR, 2009. 2
    • (2009) CVPR
    • Wang, X.1    Han, X.2    Yan, S.3
  • 33
    • 33745943636 scopus 로고    scopus 로고
    • Detection of multiple, partially occluded humans in a single image by bayesian combination of edgelet part detectors
    • 2
    • B. Wu and R. Nevatia. Detection of multiple, partially occluded humans in a single image by bayesian combination of edgelet part detectors. In ICCV, 2005. 2
    • (2005) ICCV
    • Wu, B.1    Nevatia, R.2
  • 34
    • 60349101894 scopus 로고    scopus 로고
    • Detection and segmentation of multiple, partially occluded objects by grouping, merging, assigning part detection responses
    • 2
    • B. Wu and R. Nevatia. Detection and segmentation of multiple, partially occluded objects by grouping, merging, assigning part detection responses. Int'l J. Computer Vision, 82(2):185-204, 2009. 2
    • (2009) Int'l J. Computer Vision , vol.82 , Issue.2 , pp. 185-204
    • Wu, B.1    Nevatia, R.2
  • 35
    • 77954860497 scopus 로고    scopus 로고
    • A numeric study of the bottom-up and topdown inference processes in and-or graph
    • Jun. 2
    • T. Wu and S. Zhu. A numeric study of the bottom-up and topdown inference processes in and-or graphs. Int'l J. Computer Vision, 93(2):226-252, Jun. 2011. 2
    • (2011) Int'l J. Computer Vision , vol.93 , Issue.2 , pp. 226-252
    • Wu, T.1    Zhu, S.2
  • 36
    • 84866696913 scopus 로고    scopus 로고
    • Multi-pedestrian detection in crowded scenes: A global view
    • 2
    • J. Yan, Z. Lei, D. Yi, and S. Z. Li. Multi-pedestrian detection in crowded scenes: A global view. In CVPR, 2012. 2
    • (2012) CVPR
    • Yan, J.1    Lei, Z.2    Yi, D.3    Li, S.Z.4
  • 37
    • 84866704901 scopus 로고    scopus 로고
    • Recognizing proxemics in personal photos
    • 2
    • Y. Yang, S. Baker, A. Kannan, and D. Ramanan. Recognizing proxemics in personal photos. In CVPR, 2012. 2
    • (2012) CVPR
    • Yang, Y.1    Baker, S.2    Kannan, A.3    Ramanan, D.4
  • 38
    • 80052895150 scopus 로고    scopus 로고
    • Articulated pose estimation with flexible mixtures-of-parts
    • 2
    • Y. Yang and D. Ramanan. Articulated pose estimation with flexible mixtures-of-parts. In CVPR, 2011. 2
    • (2011) CVPR
    • Yang, Y.1    Ramanan, D.2
  • 39
    • 77955988492 scopus 로고    scopus 로고
    • Modeling mutual context of object and human pose in human-object interaction activities
    • 2
    • B. Yao and L. Fei-Fei. Modeling mutual context of object and human pose in human-object interaction activities. In CVPR, 2010. 2
    • (2010) CVPR
    • Yao, B.1    Fei-Fei, L.2
  • 40
    • 77955986466 scopus 로고    scopus 로고
    • Latent hierarchical structural learning for object detection
    • 2
    • L. Zhu, Y. Chen, A. Yuille, and W. Freeman. Latent hierarchical structural learning for object detection. In CVPR, 2010. 2
    • (2010) CVPR
    • Zhu, L.1    Chen, Y.2    Yuille, A.3    Freeman, W.4


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