{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:40:01Z","timestamp":1748738401757,"version":"3.41.0"},"reference-count":30,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2016]]},"DOI":"10.1587\/transinf.2015edp7228","type":"journal-article","created":{"date-parts":[[2015,12,31]],"date-time":"2015-12-31T22:14:16Z","timestamp":1451600056000},"page":"248-256","source":"Crossref","is-referenced-by-count":3,"title":["Part-Segment Features with Optimized Shape Priors for Articulated Pose Estimation"],"prefix":"10.1587","volume":"E99.D","author":[{"given":"Norimichi","family":"UKITA","sequence":"first","affiliation":[{"name":"Nara Institute of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] P.F. Felzenszwalb and D.P. Huttenlocher, \u201cPictorial structures for object recognition. International Journal of Computer Vision,\u201d Int. J. Comput. Vision., vol.61, no.1, pp.55-79, 2005.","DOI":"10.1023\/B:VISI.0000042934.15159.49"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] P.F. Felzenszwalb, R.B. Girshick, D. McAllester, and D. Ramanan, \u201cObject detection with discriminatively trained part-based models,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.32, no.9, pp.1627-1645, 2010.","DOI":"10.1109\/TPAMI.2009.167"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] N. Dalal and B. Triggs, \u201cHistograms of Oriented Gradients for Human Detection,\u201d 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR&apos;05), pp.886-893, 2005.","DOI":"10.1109\/CVPR.2005.177"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] N. Ukita, \u201cPart-segment features for articulated pose estimation,\u201d 2015 14th IAPR International Conference on Machine VisionApplications (MVA), pp.114-117, 2015.","DOI":"10.1109\/MVA.2015.7153146"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] M.P. Kumar, P.H.S. Torr, and A. Zisserman, \u201cOBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.32, no.3, pp.530-545, 2010.","DOI":"10.1109\/TPAMI.2009.16"},{"key":"6","unstructured":"[6] D. Ramanan, \u201cLearning to parse images of articulated bodies,\u201d In NIPS, pp.1129-1136, 2006."},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] M. Eichner and V. Ferrari, \u201cBetter appearance models for pictorial structures,\u201d Proc. British Machine Vision Conference 2009, pp.3.1-3.11, 2009.","DOI":"10.5244\/C.23.3"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] D. Ramanan, \u201cUsing Segmentation to Verify Object Hypotheses,\u201d 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.","DOI":"10.1109\/CVPR.2007.383271"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] V. Ferrari, M. Mar\u00edn-Jim\u00e9nez, and A. Zisserman, \u201cProgressive search space reduction for human pose estimation,\u201d 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.","DOI":"10.1109\/CVPR.2008.4587468"},{"key":"10","unstructured":"[10] M. Bray, P. Kohli, and P.H.S. Torr, \u201cPoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts,\u201d Computer Vision-ECCV 2006, Lecture Notes in Computer Science, vol.3952, pp.642-655, Springer Berlin Heidelberg, Berlin, Heidelberg, 2006."},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] P. Ott and M. Everingham, \u201cImplicit color segmentation features for pedestrian and object detection,\u201d 2009 IEEE 12th International Conference on Computer Vision, pp.723-730, 2009.","DOI":"10.1109\/ICCV.2009.5459238"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] S. Johnson and M. Everingham, \u201cCombining discriminative appearance and segmentation cues for articulated human pose estimation,\u201d 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, pp.405-412, 2009.","DOI":"10.1109\/ICCVW.2009.5457673"},{"key":"13","unstructured":"[13] G. Mori, X. Ren, A.A. Efros, and J. Malik, \u201cRecovering human body con .gurations:combining segmentation and recognition,\u201d Proc. 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.326-333, 2004."},{"key":"14","unstructured":"[14] V.K. Singh, R. Nevatia, and C. Huang, \u201cEfficient Inference with Multiple Heterogeneous Part Detectors for Human Pose Estimation,\u201d Computer Vision-ECCV 2010, Lecture Notes in Computer Science, vol.6313, pp.314-327, Springer Berlin Heidelberg, 2010."},{"key":"15","unstructured":"[15] N. Ukita, \u201cArticulated pose estimation with parts connectivity using discriminative local oriented contours,\u201d 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.3154-3161, 2012."},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] J. Shi and J. Malik, \u201cNormalized cuts and image segmentation,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.22, no.8, pp.888-905, 2000.","DOI":"10.1109\/34.868688"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] P. Arbel\u00e1ez, M. Maire, C. Fowlkes, and J. Malik, \u201cContour Detection and Hierarchical Image Segmentation,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.33, no.5, pp.898-916, 2011.","DOI":"10.1109\/TPAMI.2010.161"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. S\u00fcsstrunk, \u201cSLIC Superpixels Compared to State-of-the-Art Superpixel Methods,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.34, no.11, pp.2274-2282, 2012.","DOI":"10.1109\/TPAMI.2012.120"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] W.R. Schwartz, A. Kembhavi, D. Harwood, and L.S. Davis, \u201cHuman detection using partial least squares analysis,\u201d 2009 IEEE 12th International Conference on Computer Vision, pp.24-31, 2009.","DOI":"10.1109\/ICCV.2009.5459205"},{"key":"20","unstructured":"[20] D. Parikh and C.L. Zitnick, \u201cFinding the weakest link in person detectors,\u201d CVPR 2011, pp.1425-1432, 2011."},{"key":"21","unstructured":"[21] Y. Yang and D. Ramanan, \u201cArticulated pose estimation with flexible mixtures-of-parts,\u201d CVPR 2011, pp.1385-1392, 2011."},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] N. Otsu, \u201cA Threshold Selection Method from Gray-Level Histograms,\u201d IEEE Trans. Syst., Man, Cybern., vol.9, no.1, pp.62-66, 1979.","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"23","unstructured":"[23] H. Daum\u00e9 III, \u201cFrustratingly easy domain adaptation,\u201d ACL, pp.256-263, 2007."},{"key":"24","unstructured":"[24] Y.W. Teh, M.I. Jordan, M.J. Beal, and D.M. Blei, \u201cHierarchical Dirichlet Processes,\u201d J. Am. Stat. Assoc., vol.101, no.476, pp.1566-1581, 2006."},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] Y. Yang and D. Ramanan, \u201cArticulated Human Detection with Flexible Mixtures of Parts,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.35, no.12, pp.2878-2890, 2013.","DOI":"10.1109\/TPAMI.2012.261"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] S. Johnson and M. Everingham, \u201cClustered Pose and Nonlinear Appearance Models for Human Pose Estimation,\u201d Proc. British Machine Vision Conference 2010, pp.12.1-12.11, 2010.","DOI":"10.5244\/C.24.12"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] B. Sapp, C. Jordan, and B. Taskar, \u201cAdaptive pose priors for pictorial structures,\u201d 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.422-429, 2010.","DOI":"10.1109\/CVPR.2010.5540182"},{"key":"28","unstructured":"[28] B. Sapp, A. Toshev, and B. Taskar, \u201cCascaded Models for Articulated Pose Estimation,\u201d Computer Vision-ECCV 2010, Lecture Notes in Computer Science, vol.6312, pp.406-420, Springer Berlin Heidelberg, 2010."},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] L. Pishchulin, M. Andriluka, P. Gehler, and B. Schiele, \u201cPoselet Conditioned Pictorial Structures,\u201d 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.588-595, 2013.","DOI":"10.1109\/CVPR.2013.82"},{"key":"30","unstructured":"[30] S. Johnson and M. Everingham, \u201cLearning effective human pose estimation from inaccurate annotation,\u201d CVPR 2011, pp.1465-1472, 2011."}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E99.D\/1\/E99.D_2015EDP7228\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:23:39Z","timestamp":1748737419000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E99.D\/1\/E99.D_2015EDP7228\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2015edp7228","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"type":"print","value":"0916-8532"},{"type":"electronic","value":"1745-1361"}],"subject":[],"published":{"date-parts":[[2016]]}}}