{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,18]],"date-time":"2025-05-18T03:40:07Z","timestamp":1747539607987,"version":"3.40.5"},"reference-count":14,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2015]]},"DOI":"10.1587\/transinf.2014edl8123","type":"journal-article","created":{"date-parts":[[2015,1,31]],"date-time":"2015-01-31T22:09:39Z","timestamp":1422742179000},"page":"479-484","source":"Crossref","is-referenced-by-count":1,"title":["Fast Online Motion Segmentation through Multi-Temporal Interval Motion Analysis"],"prefix":"10.1587","volume":"E98.D","author":[{"given":"Jungwon","family":"KANG","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, KAIST"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myung Jin","family":"CHUNG","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, KAIST"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] J. Shi and C. Tomasi, \u201cGood features to track,\u201d Proc. CVPR, pp.593-600, 1994.","DOI":"10.1109\/CVPR.1994.323794"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] R. Tron and R. Vidal, \u201cA benchmark for the comparison of 3-D motion segmentation algorithms,\u201d Proc. CVPR, pp.1-8, 2007.","DOI":"10.1109\/CVPR.2007.382974"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] T. Brox and J. Malik, \u201cObject segmentation by long term analysis of point trajectories,\u201d Proc. ECCV, pp.282-295, 2010.","DOI":"10.1007\/978-3-642-15555-0_21"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] R. Dragon, B. Rosenhahn, and J. Ostermann, \u201cMulti-scale clustering of frame-to-frame correspondences for motion segmentation,\u201d Proc. ECCV, pp.445-458, 2012.","DOI":"10.1007\/978-3-642-33709-3_32"},{"key":"5","unstructured":"[5] J. Kang, S.U. Park, and M.J. Chung, \u201cOnline motion segmentation using spatially-constrained J-linkage in dynamic scene,\u201d Proc. ROBIO, pp.1854-1860, 2012."},{"key":"6","unstructured":"[6] A. Elqursh and A. Elgammal, \u201cOnline motion segmentation using dynamic label propagation,\u201d Proc. ICCV, pp.2008-2015, 2013."},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] R. Toldo and A. Fusiello, \u201cRobust multiple structures estimation with J-linkage,\u201d Proc. ECCV, pp.537-547, 2008.","DOI":"10.1007\/978-3-540-88682-2_41"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] P. Fr\u00e4nti, O. Virmajoki, and V. Hautam\u00e4ki, \u201cFast agglomerative clustering using a k-nearest neighbor graph,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.28, no.11, pp.1875-1881, 2006.","DOI":"10.1109\/TPAMI.2006.227"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] M.J. Zaki and W. Meira, Jr., Data mining and analysis: fundamental concepts and algorithms, Cambridge University Press, 2013.","DOI":"10.1017\/CBO9780511810114"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] S. Rao, R. Tron, R. Vidal, and Y. Ma, \u201cMotion segmentation in the presence of outlying, incomplete, or corrupted trajectories,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.32, no.10, pp.1832-1845, 2010.","DOI":"10.1109\/TPAMI.2009.191"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] A.M. Cheriyadat and R.J. Radke, \u201cNon-negative matrix factorization of partial track data for motion segmentation,\u201d Proc. ICCV, pp.865-872, 2009.","DOI":"10.1109\/ICCV.2009.5459311"},{"key":"12","unstructured":"[12] S. Wagner and D. Wagner, \u201cComparing clusterings-an overview,\u201d Universit\u00e4t Karlsruhe (TH), Tech. Rep. 2006-04, 2007."},{"key":"13","unstructured":"[13] P.-N. Tan, M. Steinbach, and V. Kumar, Introduction to Data Mining, Addison-Wesley, 2005."},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] S. Sara\u00e7li, N. Dogan, and I. Dogan, \u201cComparison of hierarchical cluster analysis methods by cophenetic correlation,\u201d J. Inequal. Appl., pp.1-8, 2013.","DOI":"10.1186\/1029-242X-2013-203"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E98.D\/2\/E98.D_2014EDL8123\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,18]],"date-time":"2025-05-18T03:17:45Z","timestamp":1747538265000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E98.D\/2\/E98.D_2014EDL8123\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":14,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2015]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2014edl8123","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"type":"print","value":"0916-8532"},{"type":"electronic","value":"1745-1361"}],"subject":[],"published":{"date-parts":[[2015]]}}}