{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:18:40Z","timestamp":1740133120627,"version":"3.37.3"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"crossref","award":["2015CB351705"],"award-info":[{"award-number":["2015CB351705"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"State Key Program of National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61332018"],"award-info":[{"award-number":["61332018"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/tcsvt.2016.2564818","type":"journal-article","created":{"date-parts":[[2016,5,6]],"date-time":"2016-05-06T14:25:27Z","timestamp":1462544727000},"page":"1962-1973","source":"Crossref","is-referenced-by-count":3,"title":["Balanced Mixture of Deformable Part Models With Automatic Part Configurations"],"prefix":"10.1109","volume":"27","author":[{"given":"De","family":"Cheng","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1793-5836","authenticated-orcid":false,"given":"Yihong","family":"Gong","sequence":"additional","affiliation":[]},{"given":"Jingjun","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Nanning","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1111\/j.1467-9868.2005.00532.x"},{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1109\/ICCV.2009.5459207"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1109\/CVPR.2013.421"},{"key":"ref32","first-page":"495","article-title":"Efficient learning using forward-backward splitting","author":"singer","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1109\/CVPR.2013.465"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1109\/CVPR.2009.5206544"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1023\/B:VISI.0000013087.49260.fb"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1109\/ICCV.2009.5459183"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1109\/ICCV.2013.422"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1109\/ICME.2012.32"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/TPAMI.2011.155"},{"doi-asserted-by":"publisher","key":"ref40","DOI":"10.1109\/LGRS.2014.2358994"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/CVPR.2008.4587597"},{"year":"0","author":"felzenszwalb","journal-title":"Discriminatively Trained Deformable Part Models Release 4","key":"ref12"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/CVPR.2010.5539906"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/TPAMI.2009.167"},{"year":"2014","author":"girshick","journal-title":"Deformable part models are convolutional neural networks","key":"ref15"},{"year":"0","author":"girshick","journal-title":"Discriminatively trained deformable part models release 5","key":"ref16"},{"key":"ref17","first-page":"442","article-title":"Object detection with grammar models","author":"girshick","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/TGRS.2014.2374218"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/TPAMI.2015.2389824"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref4","first-page":"168","article-title":"Detecting people using mutually consistent poselet activations","author":"bourdev","year":"2010","journal-title":"Computer Vision"},{"key":"ref27","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref3","first-page":"575","article-title":"Active skeleton for non-rigid object detection","author":"bai","year":"2009","journal-title":"Proc IEEE 12th Int Conf Comput Vis"},{"key":"ref6","first-page":"1348","article-title":"Complex event detection using semantic saliency and nearly-isotonic SVM","author":"chang","year":"2015","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref29","first-page":"31","article-title":"How important are &#x2018;deformable parts&#x2019; in the deformable parts model?","author":"divvala","year":"2012","journal-title":"Computer Vision"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/TIT.2011.2146090"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1162\/089976602753633402"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/ICCV.2013.58"},{"key":"ref2","first-page":"836","article-title":"Object detection using strongly supervised deformable part models","author":"azizpour","year":"2012","journal-title":"Computer Vision"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/CVPR.2005.177"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1007\/978-3-642-33783-3_9"},{"key":"ref20","first-page":"3306","article-title":"Color attributes for object detection","author":"khan","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1007\/s10994-007-5018-6"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/TCSVT.2014.2358029"},{"key":"ref42","first-page":"1062","article-title":"Latent hierarchical structural learning for object detection","author":"zhu","year":"2010","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/CVPR.2008.4587630"},{"doi-asserted-by":"publisher","key":"ref41","DOI":"10.1109\/CVPR.2011.5995678"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/CVPR.2014.120"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/CVPR.2011.5995357"},{"year":"2014","author":"zou","journal-title":"Generic object detection with dense neural patterns and regionlets","key":"ref43"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1109\/CVPR.2012.6248044"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/8024129\/07466085.pdf?arnumber=7466085","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:40:58Z","timestamp":1641987658000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7466085\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":43,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2016.2564818","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"type":"print","value":"1051-8215"},{"type":"electronic","value":"1558-2205"}],"subject":[],"published":{"date-parts":[[2017,9]]}}}