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Volumn , Issue , 2013, Pages 3041-3048

Human pose estimation using body parts dependent joint regressors

Author keywords

human pose estimation; joint regressor; random forest

Indexed keywords

CLASS DISTRIBUTIONS; HUMAN POSE ESTIMATIONS; INDEPENDENT BODIES; JOINT LOCATIONS; LOCALIZATION ACCURACY; PICTORIAL STRUCTURES; RANDOM FORESTS; STATE-OF-THE-ART METHODS;

EID: 84887344431     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.391     Document Type: Conference Paper
Times cited : (285)

References (42)
  • 1
    • 84863612303 scopus 로고    scopus 로고
    • Discriminative appearance models for pictorial structures
    • 1, 2
    • M. Andriluka, S. Roth, and B. Schiele. Discriminative appearance models for pictorial structures. IJCV, 99(3):259-280, 2012. 1, 2
    • (2012) IJCV , vol.99 , Issue.3 , pp. 259-280
    • Andriluka, M.1    Roth, S.2    Schiele, B.3
  • 2
    • 75149167171 scopus 로고    scopus 로고
    • A study of parts-based object class detection using complete graphs
    • 2
    • M. Bergtholdt, J. H. Kappes, S. Schmidt, and C. Schnörr. A study of parts-based object class detection using complete graphs. IJCV, 87(1-2):93-117, 2010. 2
    • (2010) IJCV , vol.87 , Issue.1-2 , pp. 93-117
    • Bergtholdt, M.1    Kappes, J.H.2    Schmidt, S.3    Schnörr, C.4
  • 3
    • 75149188375 scopus 로고    scopus 로고
    • Twin gaussian processes for structured prediction
    • 2
    • L. Bo and C. Sminchisescu. Twin gaussian processes for structured prediction. IJCV, 87(1-2):28-52, 2010. 2
    • (2010) IJCV , vol.87 , Issue.1-2 , pp. 28-52
    • Bo, L.1    Sminchisescu, C.2
  • 4
    • 78149356001 scopus 로고    scopus 로고
    • Detecting people using mutually consistent poselet activations
    • 2
    • L. Bourdev, S. Maji, T. Brox, and J. Malik. Detecting people using mutually consistent poselet activations. In ECCV, pages 168-181, 2010. 2
    • (2010) ECCV , pp. 168-181
    • Bourdev, L.1    Maji, S.2    Brox, T.3    Malik, J.4
  • 5
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • 3, 4
    • L. Breiman. Random forests. Machine Learning, 45(1):5-32, 2001. 3, 4
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 6
    • 84859414659 scopus 로고    scopus 로고
    • Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
    • 3
    • A. Criminisi, J. Shotton, and E. Konukoglu. Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning. Found. Trends. Comput. Graph. Vis., 7(2-3):81-227, 2012. 3
    • (2012) Found. Trends. Comput. Graph. Vis. , vol.7 , Issue.2-3 , pp. 81-227
    • Criminisi, A.1    Shotton, J.2    Konukoglu, E.3
  • 7
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • 1, 3
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, pages 886-893, 2005. 1, 3
    • (2005) CVPR , pp. 886-893
    • Dalal, N.1    Triggs, B.2
  • 8
    • 84866706750 scopus 로고    scopus 로고
    • Real-time facial feature detection using conditional regression forests
    • 3
    • M. Dantone, J. Gall, G. Fanelli, and L. Van Gool. Real-time facial feature detection using conditional regression forests. In CVPR, pages 2578-2585, 2012. 3
    • (2012) CVPR , pp. 2578-2585
    • Dantone, M.1    Gall, J.2    Fanelli, G.3    Van Gool, L.4
  • 9
    • 84898906904 scopus 로고    scopus 로고
    • Better appearance models for pictorial structures
    • 1, 2
    • M. Eichner and V. Ferrari. Better appearance models for pictorial structures. In BMVC, 2009. 1, 2
    • (2009) BMVC
    • Eichner, M.1    Ferrari, V.2
  • 10
    • 77955422240 scopus 로고    scopus 로고
    • Object detection with discriminatively trained part-based models
    • 1, 3
    • P. F. Felzenszwalb, R. B. Girshick, D. A. McAllester, and D. Ramanan. Object detection with discriminatively trained part-based models. TPAMI, 32(9):1627-1645, 2010. 1, 3
    • (2010) IntPAMI , vol.32 , Issue.9 , pp. 1627-1645
    • Felzenszwalb, P.F.1    Girshick, R.B.2    McAllester, D.A.3    Ramanan, D.4
  • 11
    • 4644354464 scopus 로고    scopus 로고
    • Pictorial structures for object recognition
    • 1, 2, 3
    • P. F. Felzenszwalb and D. P. Huttenlocher. Pictorial structures for object recognition. IJCV, 61(1):55-79, 2005. 1, 2, 3
    • (2005) IJCV , vol.61 , Issue.1 , pp. 55-79
    • Felzenszwalb, P.F.1    Huttenlocher, D.P.2
  • 12
    • 51949088307 scopus 로고    scopus 로고
    • Progressive search space reduction for human pose estimation
    • 5
    • V. Ferrari, M. Marin-Jimenez, and A. Zisserman. Progressive search space reduction for human pose estimation. In CVPR, 2008. 5
    • (2008) CVPR
    • Ferrari, V.1    Marin-Jimenez, M.2    Zisserman, A.3
  • 13
    • 0015567825 scopus 로고
    • The representation and matching of pictorial structures
    • 1, 2
    • M. A. Fischler and R. A. Elschlager. The representation and matching of pictorial structures. IEEE Trans. Comput., 22(1):67-92, 1973. 1, 2
    • (1973) IEEE Trans. Comput. , vol.22 , Issue.1 , pp. 67-92
    • Fischler, M.A.1    Elschlager, R.A.2
  • 14
    • 80053120334 scopus 로고    scopus 로고
    • Hough forests for object detection, tracking, and action recognition
    • 3, 4
    • J. Gall, A. Yao, N. Razavi, L. Van Gool, and V. Lempitsky. Hough forests for object detection, tracking, and action recognition. TPAMI, 33(11):2188-2202, 2011. 3, 4
    • (2011) IntPAMI , vol.33 , Issue.11 , pp. 2188-2202
    • Gall, J.1    Yao, A.2    Razavi, N.3    Van Gool, L.4    Lempitsky, V.5
  • 15
    • 84856653054 scopus 로고    scopus 로고
    • Efficient regression of general-activity human poses from depth images
    • 2, 3
    • R. Girshick, J. Shotton, P. Kohli, A. Criminisi, and A. Fitzgibbon. Efficient regression of general-activity human poses from depth images. ICCV, pages 415-422, 2011. 2, 3
    • (2011) ICCV , pp. 415-422
    • Girshick, R.1    Shotton, J.2    Kohli, P.3    Criminisi, A.4    Fitzgibbon, A.5
  • 17
    • 51949102800 scopus 로고    scopus 로고
    • Global pose estimation using nontree models
    • 2
    • H. Jiang and D. Martin. Global pose estimation using nontree models. In CVPR, 2008. 2
    • (2008) CVPR
    • Jiang, H.1    Martin, D.2
  • 18
    • 84898472539 scopus 로고    scopus 로고
    • Clustered pose and nonlinear appearance models for human pose estimation
    • 2, 4, 5, 6, 7
    • S. Johnson and M. Everingham. Clustered pose and nonlinear appearance models for human pose estimation. In BMVC, 2010. 2, 4, 5, 6, 7
    • (2010) BMVC
    • Johnson, S.1    Everingham, M.2
  • 19
    • 0036165170 scopus 로고    scopus 로고
    • Statistical color models with application to skin detection
    • 3
    • M. Jones and J. Rehg. Statistical color models with application to skin detection. IJCV, 46(1):81-96, 2002. 3
    • (2002) IJCV , vol.46 , Issue.1 , pp. 81-96
    • Jones, M.1    Rehg, J.2
  • 20
    • 39749124915 scopus 로고    scopus 로고
    • Robust object detection with interleaved categorization and segmentation
    • 2
    • B. Leibe, A. Leonardis, and B. Schiele. Robust object detection with interleaved categorization and segmentation. IJCV, 77(1-3):259-289, 2008. 2
    • (2008) IJCV , vol.77 , Issue.13 , pp. 259-289
    • Leibe, B.1    Leonardis, A.2    Schiele, B.3
  • 23
    • 84866713740 scopus 로고    scopus 로고
    • Articulated people detection and pose estimation: Reshaping the future
    • 2
    • L. Pishchulin, A. Jain, M. Andriluka, T. Thormählen, and B. Schiele. Articulated people detection and pose estimation: Reshaping the future. In CVPR, pages 3178-3185, 2012. 2
    • (2012) CVPR , pp. 3178-3185
    • Pishchulin, L.1    Jain, A.2    Andriluka, M.3    Thormählen, T.4    Schiele, B.5
  • 24
    • 84864046033 scopus 로고    scopus 로고
    • Learning to parse images of articulated bodies
    • 1, 2
    • D. Ramanan. Learning to parse images of articulated bodies. In NIPS, pages 1129-1136, 2006. 1, 2
    • (2006) NIPS , pp. 1129-1136
    • Ramanan, D.1
  • 25
    • 33745958242 scopus 로고    scopus 로고
    • Recovering human body configurations using pairwise constraints between parts
    • 2
    • X. Ren, A. C. Berg, and J. Malik. Recovering human body configurations using pairwise constraints between parts. In ICCV, pages 824-831, 2005. 2
    • (2005) ICCV , pp. 824-831
    • Ren, X.1    Berg, A.C.2    Malik, J.3
  • 26
    • 84937559705 scopus 로고    scopus 로고
    • Learning to parse pictures of people
    • 2
    • R. Ronfard, C. Schmid, and B. Triggs. Learning to parse pictures of people. In ECCV, pages 700-714, 2002. 2
    • (2002) ECCV , pp. 700-714
    • Ronfard, R.1    Schmid, C.2    Triggs, B.3
  • 27
    • 84867884702 scopus 로고    scopus 로고
    • Learning discriminative spatial relations for detector dictionaries: An application to pedestrian detection
    • 2
    • E. Sangineto, M. Cristani, A. Del Bue, and V. Murino. Learning discriminative spatial relations for detector dictionaries: an application to pedestrian detection. In ECCV, pages 273-286, 2012. 2
    • (2012) ECCV , pp. 273-286
    • Sangineto, E.1    Cristani, M.2    Del Bue, A.3    Murino, V.4
  • 28
    • 77956000513 scopus 로고    scopus 로고
    • Adaptive pose priors for pictorial structures
    • 2
    • B. Sapp, C. Jordan, and B. Taskar. Adaptive pose priors for pictorial structures. In CVPR, pages 422-429, 2010. 2
    • (2010) CVPR , pp. 422-429
    • Sapp, B.1    Jordan, C.2    Taskar, B.3
  • 30
    • 51949114829 scopus 로고    scopus 로고
    • Semantic texton forests for image categorization and segmentation
    • 2
    • J. Shotton, M. Johnson, and R. Cipolla. Semantic texton forests for image categorization and segmentation. In CVPR, 2008. 2
    • (2008) CVPR
    • Shotton, J.1    Johnson, M.2    Cipolla, R.3
  • 31
    • 33845575116 scopus 로고    scopus 로고
    • Measure locally, reason globally: Occlusion-sensitive articulated pose estimation
    • 2
    • L. Sigal and M. Black. Measure locally, reason globally: Occlusion-sensitive articulated pose estimation. In CVPR, pages 2041-2048, 2006. 2
    • (2006) CVPR , pp. 2041-2048
    • Sigal, L.1    Black, M.2
  • 32
    • 78149311892 scopus 로고    scopus 로고
    • Efficient inference with multiple heterogeneous part detectors for human pose estimation
    • 2
    • V. K. Singh, R. Nevatia, and C. Huang. Efficient inference with multiple heterogeneous part detectors for human pose estimation. In ECCV, pages 314-327, 2010. 2
    • (2010) ECCV , pp. 314-327
    • Singh, V.K.1    Nevatia, R.2    Huang, C.3
  • 33
    • 84856628543 scopus 로고    scopus 로고
    • Articulated part-based model for joint object detection and pose estimation
    • 2
    • M. Sun and S. Savarese. Articulated part-based model for joint object detection and pose esimation. In ICCV, pages 723-730, 2011. 2
    • (2011) ICCV , pp. 723-730
    • Sun, M.1    Savarese, S.2
  • 34
    • 77955994777 scopus 로고    scopus 로고
    • Fast globally optimal 2d human detection with loopy graph models
    • 2
    • T.-P. Tian and S. Sclaroff. Fast globally optimal 2d human detection with loopy graph models. In CVPR, pages 81-88, 2010. 2
    • (2010) CVPR , pp. 81-88
    • Tian, T.-P.1    Sclaroff, S.2
  • 35
    • 84867878385 scopus 로고    scopus 로고
    • Exploring the spatial hierarchy of mixture models for human pose estimation
    • 2, 5, 7
    • Y. Tian, C. L. Zitnick, and S. G. Narasimhan. Exploring the spatial hierarchy of mixture models for human pose estimation. In ECCV, pages 256-269, 2012. 2, 5, 7
    • (2012) ECCV , pp. 256-269
    • Tian, Y.1    Zitnick, C.L.2    Narasimhan, S.G.3
  • 36
    • 78149316204 scopus 로고    scopus 로고
    • Improved human parsing with a full relational model
    • 2
    • D. Tran and D. Forsyth. Improved human parsing with a full relational model. In ECCV, pages 227-240, 2010. 2
    • (2010) ECCV , pp. 227-240
    • Tran, D.1    Forsyth, D.2
  • 37
    • 56749168877 scopus 로고    scopus 로고
    • Multiple tree models for occlusion and spatial constraints in human pose estimation
    • 2
    • Y. Wang and G. Mori. Multiple tree models for occlusion and spatial constraints in human pose estimation. In ECCV, pages 710-724, 2008. 2
    • (2008) ECCV , pp. 710-724
    • Wang, Y.1    Mori, G.2
  • 38
    • 80052913131 scopus 로고    scopus 로고
    • Learning hierarchical poselets for human parsing
    • 2
    • Y. Wang, D. Tran, and Z. Liao. Learning hierarchical poselets for human parsing. In CVPR, pages 1705-1712, 2011. 2
    • (2011) CVPR , pp. 1705-1712
    • Wang, Y.1    Tran, D.2    Liao, Z.3
  • 39
    • 84866697430 scopus 로고    scopus 로고
    • Parsing clothing in fashion photographs
    • 5
    • K. Yamaguchi, M. H. Kiapour, L. E. Ortiz, and T. L. Berg. Parsing clothing in fashion photographs. In CVPR, pages 3570-3577, 2012. 5
    • (2012) CVPR , pp. 3570-3577
    • Yamaguchi, K.1    Kiapour, M.H.2    Ortiz, L.E.3    Berg, T.L.4
  • 40
    • 80052895150 scopus 로고    scopus 로고
    • Articulated pose estimation with flexible mixtures-of-parts
    • 1, 2, 3, 5, 6
    • Y. Yang and D. Ramanan. Articulated pose estimation with flexible mixtures-of-parts. In CVPR, pages 1385-1392, 2011. 1, 2, 3, 5, 6
    • (2011) CVPR , pp. 1385-1392
    • Yang, Y.1    Ramanan, D.2
  • 41
    • 84898436991 scopus 로고    scopus 로고
    • Do we need more training data or better models for object detection
    • 1
    • X. Zhu, C. Vondrick, D. Ramanan, and C. C. Fowlkes. Do we need more training data or better models for object detection? In BMVC, 2012. 1
    • (2012) BMVC
    • Zhu, X.1    Vondrick, C.2    Ramanan, D.3    Fowlkes, C.C.4
  • 42
    • 84866682756 scopus 로고    scopus 로고
    • From pictorial structures to deformable structures
    • 1, 2
    • S. Zuffi, O. Freifeld, and M. J. Black. From pictorial structures to deformable structures. In CVPR, pages 3546-3553, 2012. 1, 2
    • (2012) CVPR , pp. 3546-3553
    • Zuffi, S.1    Freifeld, O.2    Black, M.J.3


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