메뉴 건너뛰기




Volumn , Issue , 2014, Pages 2401-2408

Parsing occluded people

Author keywords

Object Detection; Occlusion; Pose Estimation

Indexed keywords

MIXTURES; OBJECT DETECTION;

EID: 84911452991     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.308     Document Type: Conference Paper
Times cited : (62)

References (27)
  • 1
    • 84867871564 scopus 로고    scopus 로고
    • Object detection using strongly-supervised deformable part models
    • H. Azizpour and I. Laptev. Object detection using strongly-supervised deformable part models. In ECCV, pages 836-849. 2012.
    • (2012) ECCV , pp. 836-849
    • Azizpour, H.1    Laptev, I.2
  • 2
    • 77956002528 scopus 로고    scopus 로고
    • Poselets: Body part detectors trained using 3d human pose annotations
    • L. Bourdev and J. Malik. Poselets: Body part detectors trained using 3d human pose annotations. In CVPR, 2009.
    • (2009) CVPR
    • Bourdev, L.1    Malik, J.2
  • 3
    • 80052887473 scopus 로고    scopus 로고
    • Object segmentation by alignment of poselet activations to image contours
    • T. Brox, L. Bourdev, S. Maji, and J. Malik. Object segmentation by alignment of poselet activations to image contours. In CVPR, 2011.
    • (2011) CVPR
    • Brox, T.1    Bourdev, L.2    Maji, S.3    Malik, J.4
  • 4
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, pages 886-893, 2005.
    • (2005) CVPR , pp. 886-893
    • Dalal, N.1    Triggs, B.2
  • 5
    • 84877748784 scopus 로고    scopus 로고
    • Detecting actions, poses, and objects with relational phraselets
    • C. Desai and D. Ramanan. Detecting actions, poses, and objects with relational phraselets. ECCV, 2012.
    • (2012) ECCV
    • Desai, C.1    Ramanan, D.2
  • 7
    • 78149350572 scopus 로고    scopus 로고
    • We are family: Joint pose estimation of multiple persons
    • Springer
    • M. Eichner and V. Ferrari. We are family: Joint pose estimation of multiple persons. In ECCV, pages 228-242. Springer, 2010.
    • (2010) ECCV , pp. 228-242
    • Eichner, M.1    Ferrari, V.2
  • 8
    • 77955422240 scopus 로고    scopus 로고
    • Object detection with discriminatively trained part-based models
    • Sept.
    • P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ra-manan. Object detection with discriminatively trained part-based models. IEEE TPAMI, 32(9):1627-45, Sept. 2010.
    • (2010) IEEE TPAMI , vol.32 , Issue.9 , pp. 1627-1645
    • Felzenszwalb, P.1    Girshick, R.2    McAllester, D.3    Ra-Manan, D.4
  • 9
    • 4644354464 scopus 로고    scopus 로고
    • Pictorial structures for object recognition
    • P. Felzenszwalb and D. Huttenlocher. Pictorial structures for object recognition. IJCV, 61(1):55-79, 2005.
    • (2005) IJCV , vol.61 , Issue.1 , pp. 55-79
    • Felzenszwalb, P.1    Huttenlocher, D.2
  • 10
    • 0041940256 scopus 로고    scopus 로고
    • Object class recognition by unsupervised scale-invariant learning
    • R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. In CVPR, 2003.
    • (2003) CVPR
    • Fergus, R.1    Perona, P.2    Zisserman, A.3
  • 11
    • 80052880752 scopus 로고    scopus 로고
    • A segmentation-aware object detection model with occlusion handling
    • T. Gao, B. Packer, and D. Koller. A segmentation-aware object detection model with occlusion handling. In CVPR, pages 1361-1368, 2011.
    • (2011) CVPR , pp. 1361-1368
    • Gao, T.1    Packer, B.2    Koller, D.3
  • 13
    • 84866685941 scopus 로고    scopus 로고
    • Occlusion reasoning for object detection under arbitrary viewpoint
    • E. Hsiao and M. Hebert. Occlusion reasoning for object detection under arbitrary viewpoint. In CVPR, pages 3146-3153, 2012.
    • (2012) CVPR , pp. 3146-3153
    • Hsiao, E.1    Hebert, M.2
  • 15
    • 5044231640 scopus 로고    scopus 로고
    • Learning methods for generic object recognition with invariance to pose and lighting
    • Y. LeCun, F. J. Huang, and L. Bottou. Learning methods for generic object recognition with invariance to pose and lighting. In CVPR, volume 2, page 97, 2004.
    • (2004) CVPR , vol.2 , pp. 97
    • Lecun, Y.1    Huang, F.J.2    Bottou, L.3
  • 16
    • 84887365811 scopus 로고    scopus 로고
    • Single-pedestrian detection aided by multi-pedestrian detection
    • W. Ouyang and X. Wang. Single-pedestrian detection aided by multi-pedestrian detection. In CVPR, 2013.
    • (2013) CVPR
    • Ouyang, W.1    Wang, X.2
  • 17
    • 84866713740 scopus 로고    scopus 로고
    • Articulated people detection and pose estimation: Reshaping the future
    • L. Pishchulin, A. Jain, M. Andriluka, T. Thormahlen, and B. Schiele. Articulated people detection and pose estimation: Reshaping the future. In CVPR, pages 3178-3185, 2012.
    • (2012) CVPR , pp. 3178-3185
    • Pishchulin, L.1    Jain, A.2    Andriluka, M.3    Thormahlen, T.4    Schiele, B.5
  • 18
    • 80052889458 scopus 로고    scopus 로고
    • Recognition using visual phrases
    • M. A. Sadeghi and A. Farhadi. Recognition using visual phrases. In CVPR, pages 1745-1752, 2011.
    • (2011) CVPR , pp. 1745-1752
    • Sadeghi, M.A.1    Farhadi, A.2
  • 19
    • 0345414554 scopus 로고    scopus 로고
    • Fast pose estimation with parameter-sensitive hashing
    • G. Shakhnarovich, P. Viola, and T. Darrell. Fast pose estimation with parameter-sensitive hashing. In CVPR, pages 750-757, 2003.
    • (2003) CVPR , pp. 750-757
    • Shakhnarovich, G.1    Viola, P.2    Darrell, T.3
  • 20
    • 84898407532 scopus 로고    scopus 로고
    • Detection and tracking of occluded people
    • S. Tang, M. Andriluka, and B. Schiele. Detection and tracking of occluded people. In BMVC, pages 1-11, 2012.
    • (2012) BMVC , pp. 1-11
    • Tang, S.1    Andriluka, M.2    Schiele, B.3
  • 21
    • 84857933762 scopus 로고    scopus 로고
    • Structured output regression for detection with partial occulsion
    • A. Vedaldi and A. Zisserman. Structured output regression for detection with partial occulsion. In NIPS, 2009.
    • (2009) NIPS
    • Vedaldi, A.1    Zisserman, A.2
  • 22
    • 85020603202 scopus 로고    scopus 로고
    • An hog-lbp human detector with partial occlusion handling
    • X. Wang, T. X. Han, and S. Yan. An hog-lbp human detector with partial occlusion handling. In CVPR, pages 32-39, 2009.
    • (2009) CVPR , pp. 32-39
    • Wang, X.1    Han, T.X.2    Yan, S.3
  • 23
    • 0033698725 scopus 로고    scopus 로고
    • Towards automatic discovery of object categories
    • M. Weber, M. Welling, and P. Perona. Towards automatic discovery of object categories. In CVPR, volume 2, pages 101-108, 2000.
    • (2000) CVPR , vol.2 , pp. 101-108
    • Weber, M.1    Welling, M.2    Perona, P.3
  • 24
    • 84866704901 scopus 로고    scopus 로고
    • Recognizing proxemics in personal photos
    • Y. Yang, S. Baker, A. Kannan, and D. Ramanan. Recognizing proxemics in personal photos. In CVPR, pages 3522-3529, 2012.
    • (2012) CVPR , pp. 3522-3529
    • Yang, Y.1    Baker, S.2    Kannan, A.3    Ramanan, D.4
  • 25
    • 84865582931 scopus 로고    scopus 로고
    • Layered object models for image segmentation
    • Y. Yang, S. Hallman, D. Ramanan, and C. C. Fowlkes. Layered object models for image segmentation. IEEE TPAMI, 34(9):1731-1743, 2012.
    • (2012) IEEE TPAMI , vol.34 , Issue.9 , pp. 1731-1743
    • Yang, Y.1    Hallman, S.2    Ramanan, D.3    Fowlkes, C.C.4
  • 26
    • 84911420008 scopus 로고    scopus 로고
    • Articulated human detection with flexible mixtures-of-parts
    • Y. Yang and D. Ramanan. Articulated human detection with flexible mixtures-of-parts. IEEE TPAMI, 2013.
    • (2013) IEEE TPAMI
    • Yang, Y.1    Ramanan, D.2
  • 27
    • 84898436991 scopus 로고    scopus 로고
    • Do we need more training data or better models for object detection?
    • X. Zhu, C. Vondrick, D. Ramanan, and C. Fowlkes. Do we need more training data or better models for object detection? In BMVC, 2012.
    • (2012) BMVC
    • Zhu, X.1    Vondrick, C.2    Ramanan, D.3    Fowlkes, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.