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Volumn , Issue , 2013, Pages 1790-1797

Learning structured hough voting for joint object detection and occlusion reasoning

Author keywords

depth encoded object context model; object detection; occlusion reasoning; structured Hough voting

Indexed keywords

CONTEXT REPRESENTATION; DETECTING OBJECTS; HOUGH VOTING; INDOOR ENVIRONMENT; INTRA-CLASS VARIATION; OBJECT DETECTION; OCCLUSION REASONING; SPATIAL RELATIONSHIPS;

EID: 84887359553     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.234     Document Type: Conference Paper
Times cited : (28)

References (31)
  • 1
    • 0019397313 scopus 로고
    • Generalizing the hough transform to detect arbitrary shapes
    • 2
    • D. Ballard. Generalizing the hough transform to detect arbitrary shapes. Pattern recognition, 13(2):111-122, 1981. 2
    • (1981) Pattern Recognition , vol.13 , Issue.2 , pp. 111-122
    • Ballard, D.1
  • 2
    • 77955987340 scopus 로고    scopus 로고
    • Toward coherent object detection and scene layout understanding
    • 1
    • S. Y. Bao, M. Sun, and S. Savarese. Toward coherent object detection and scene layout understanding. In CVPR, 2010. 1
    • (2010) CVPR
    • Bao, S.Y.1    Sun, M.2    Savarese, S.3
  • 3
    • 84898891393 scopus 로고    scopus 로고
    • Object localization with global and local context kernels
    • 1
    • M. Blaschko and C. Lampert. Object localization with global and local context kernels. In BMVC, 2009. 1
    • (2009) BMVC
    • Blaschko, M.1    Lampert, C.2
  • 4
    • 80052887473 scopus 로고    scopus 로고
    • Object segmentation by alignment of poselet activations to image contours
    • 2
    • T. Brox, L. Bourdev, S. Maji, and J. Malik. Object segmentation by alignment of poselet activations to image contours. In CVPR, 2011. 2
    • (2011) CVPR
    • Brox, T.1    Bourdev, L.2    Maji, S.3    Malik, J.4
  • 5
    • 77955422240 scopus 로고    scopus 로고
    • Object detection with discriminatively trained partbased models
    • 4, 6, 8
    • P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained partbased models. IEEE Trans. PAMI, 32(9):1627-1645, 2010. 4, 6, 8
    • (2010) IEEE Trans. PAMI , vol.32 , Issue.9 , pp. 1627-1645
    • Felzenszwalb, P.1    Girshick, R.2    McAllester, D.3    Ramanan, D.4
  • 6
    • 70450201402 scopus 로고    scopus 로고
    • Class-specific hough forests for object detection
    • 2, 6, 8
    • J. Gall and V. Lempitsky. Class-specific hough forests for object detection. In CVPR, 2009. 2, 6, 8
    • (2009) CVPR
    • Gall, J.1    Lempitsky, V.2
  • 7
    • 80052880752 scopus 로고    scopus 로고
    • A segmentation-aware object detection model with occlusion handling
    • 1, 2
    • T. Gao, B. Packer, and D. Koller. A segmentation-aware object detection model with occlusion handling. In CVPR, 2011. 1, 2
    • (2011) CVPR
    • Gao, T.1    Packer, B.2    Koller, D.3
  • 9
    • 84898847208 scopus 로고    scopus 로고
    • Semantic image classification using consistent regions and individual context
    • 2
    • S. Kluckner, T. Mauthner, P. Roth, and H. Bischof. Semantic image classification using consistent regions and individual context. In BMVC, 2009. 2
    • (2009) BMVC
    • Kluckner, S.1    Mauthner, T.2    Roth, P.3    Bischof, H.4
  • 10
    • 79960272769 scopus 로고    scopus 로고
    • Fast prism: Branch and bound hough transform for object class detection
    • 2
    • A. Lehmann, B. Leibe, and L. Van Gool. Fast prism: Branch and bound hough transform for object class detection. IJCV, 94(2):175-197, 2011. 2
    • (2011) IJCV , vol.94 , Issue.2 , pp. 175-197
    • Lehmann, A.1    Leibe, B.2    Van Gool, L.3
  • 11
    • 33646014576 scopus 로고    scopus 로고
    • Combined object categorization and segmentation with an implicit shape model
    • 2, 3
    • B. Leibe, A. Leonardis, and B. Schiele. Combined object categorization and segmentation with an implicit shape model. In ECCV Workshops, 2004. 2, 3
    • (2004) ECCV Workshops
    • Leibe, B.1    Leonardis, A.2    Schiele, B.3
  • 12
    • 84856631928 scopus 로고    scopus 로고
    • Object detection and segmentation from joint embedding of parts and pixels
    • 1
    • M. Maire, S. Yu, and P. Perona. Object detection and segmentation from joint embedding of parts and pixels. In ICCV, 2011. 1
    • (2011) ICCV
    • Maire, M.1    Yu, S.2    Perona, P.3
  • 13
    • 70450186102 scopus 로고    scopus 로고
    • Object detection using a max-margin hough transform
    • 2, 5, 6, 8
    • S. Maji and J. Malik. Object detection using a max-margin hough transform. In CVPR, 2009. 2, 5, 6, 8
    • (2009) CVPR
    • Maji, S.1    Malik, J.2
  • 14
    • 33845584936 scopus 로고    scopus 로고
    • Multiple object class detection with a generative model
    • 2
    • K. Mikolajczyk, B. Leibe, and B. Schiele. Multiple object class detection with a generative model. In CVPR, 2006. 2
    • (2006) CVPR
    • Mikolajczyk, K.1    Leibe, B.2    Schiele, B.3
  • 15
    • 84886073305 scopus 로고    scopus 로고
    • Indoor segmentation and support inference from rgbd images
    • 1, 2, 6
    • P. K. Nathan Silberman, Derek Hoiem and R. Fergus. Indoor segmentation and support inference from rgbd images. In ECCV, 2012. 1, 2, 6
    • (2012) ECCV
    • Nathan Silberman, P.K.1    Hoiem, D.2    Fergus, R.3
  • 16
    • 84887378300 scopus 로고    scopus 로고
    • Latent hough transform for object detection
    • 2
    • N. Razavi, J. Gall, P. Kohli, and L. Van Gool. Latent hough transform for object detection. In ECCV, 2012. 2
    • (2012) ECCV
    • Razavi, N.1    Gall, J.2    Kohli, P.3    Van Gool, L.4
  • 17
    • 80052900534 scopus 로고    scopus 로고
    • Scalable multi-class object detection
    • 2
    • N. Razavi, J. Gall, and L. Van Gool. Scalable multi-class object detection. In CVPR, 2011. 2
    • (2011) CVPR
    • Razavi, N.1    Gall, J.2    Van Gool, L.3
  • 18
    • 84856655934 scopus 로고    scopus 로고
    • Efficient object detection and segmentation with a cascaded hough forest ism
    • 2
    • K. Rematas and B. Leibe. Efficient object detection and segmentation with a cascaded hough forest ism. In ICCV Workshops, 2011. 2
    • (2011) ICCV Workshops
    • Rematas, K.1    Leibe, B.2
  • 20
    • 33845576654 scopus 로고    scopus 로고
    • Multi-aspect detection of articulated objects
    • 2
    • E. Seemann, B. Leibe, and B. Schiele. Multi-aspect detection of articulated objects. In CVPR, 2006. 2
    • (2006) CVPR
    • Seemann, E.1    Leibe, B.2    Schiele, B.3
  • 21
    • 33845423382 scopus 로고    scopus 로고
    • Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation
    • 2, 4
    • J. Shotton, J. Winn, C. Rother, and A. Criminisi. Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation. In ECCV, 2006. 2, 4
    • (2006) ECCV
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 22
    • 33845580696 scopus 로고    scopus 로고
    • Depth from familiar objects: A hierarchical model for 3d scenes
    • 1, 2
    • E. Sudderth, A. Torralba,W. Freeman, and A. Willsky. Depth from familiar objects: A hierarchical model for 3d scenes. In CVPR, 2006. 1, 2
    • (2006) CVPR
    • Sudderth, E.1    Torralba, A.2    Freeman, W.3    Willsky, A.4
  • 23
    • 84867096578 scopus 로고    scopus 로고
    • Object detection using geometrical context feedback
    • 2
    • M. Sun, S. Bao, and S. Savarese. Object detection using geometrical context feedback. IJCV, 2012. 2
    • (2012) IJCV
    • Sun, M.1    Bao, S.2    Savarese, S.3
  • 24
    • 80052001421 scopus 로고    scopus 로고
    • Depth-encoded hough voting for joint object detection and shape recovery
    • 2
    • M. Sun, G. Bradski, B. Xu, and S. Savarese. Depth-encoded hough voting for joint object detection and shape recovery. In ECCV, 2010. 2
    • (2010) ECCV
    • Sun, M.1    Bradski, G.2    Xu, B.3    Savarese, S.4
  • 25
    • 0037500818 scopus 로고    scopus 로고
    • Contextual priming for object detection
    • 1, 2
    • A. Torralba. Contextual priming for object detection. IJCV, 53(2):169-191, 2003. 1, 2
    • (2003) IJCV , vol.53 , Issue.2 , pp. 169-191
    • Torralba, A.1
  • 26
    • 84857933762 scopus 로고    scopus 로고
    • Structured output regression for detection with partial truncation
    • 1
    • A. Vedaldi and A. Zisserman. Structured output regression for detection with partial truncation. In NIPS, 2009. 1
    • (2009) NIPS
    • Vedaldi, A.1    Zisserman, A.2
  • 27
    • 84874352976 scopus 로고    scopus 로고
    • Learning hough forest with depth-encoded context for object detection
    • 2
    • T. Wang, X. He, and N. Barnes. Learning hough forest with depth-encoded context for object detection. In DICTA, 2012. 2
    • (2012) DICTA
    • Wang, T.1    He, X.2    Barnes, N.3
  • 28
    • 33744510605 scopus 로고    scopus 로고
    • A critical view of context
    • 1, 2
    • L. Wolf and S. Bileschi. A critical view of context. IJCV, 69(2):251-261, 2006. 1, 2
    • (2006) IJCV , vol.69 , Issue.2 , pp. 251-261
    • Wolf, L.1    Bileschi, S.2
  • 29
    • 77956008428 scopus 로고    scopus 로고
    • Layered object detection for multi-class segmentation
    • 2
    • Y. Yang, S. Hallman, D. Ramanan, and C. Fowlkes. Layered object detection for multi-class segmentation. In CVPR, 2010. 2
    • (2010) CVPR
    • Yang, Y.1    Hallman, S.2    Ramanan, D.3    Fowlkes, C.4
  • 30
  • 31
    • 84898403845 scopus 로고    scopus 로고
    • Weakly supervised object recognition and localization with invariant high order features
    • 4
    • Y. Zhang and T. Chen. Weakly supervised object recognition and localization with invariant high order features. In BMVC, 2010. 4
    • (2010) BMVC
    • Zhang, Y.1    Chen, T.2


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