{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T23:28:00Z","timestamp":1771889280084,"version":"3.50.1"},"reference-count":80,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/tip.2020.3013801","type":"journal-article","created":{"date-parts":[[2020,8,13]],"date-time":"2020-08-13T16:38:02Z","timestamp":1597336682000},"page":"8476-8489","source":"Crossref","is-referenced-by-count":15,"title":["Accurate Long-Term Multiple People Tracking Using Video and Body-Worn IMUs"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4654-0964","authenticated-orcid":false,"given":"Roberto","family":"Henschel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Timo","family":"Von Marcard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bodo","family":"Rosenhahn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","first-page":"26","article-title":"Lecture 6.5-RMSPROP: Divide the gradient by a running average of its recent magnitude","volume":"4","author":"tieleman","year":"2012","journal-title":"COURSERA Neural Netw Mach Learn"},{"key":"ref72","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995604"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_25"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1155\/2008\/246309"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2722691"},{"key":"ref74","first-page":"1871","article-title":"LIBLINEAR: A library for large linear classification","volume":"9","author":"fan","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00087"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299138"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533003"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2505184"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.292"},{"key":"ref33","first-page":"1918","article-title":"Multi-target tracking by online learning of non-linear motion patterns and robust appearance models","author":"yang","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref32","first-page":"1","article-title":"Lifted disjoint paths with application in multiple object tracking","author":"hornakova","year":"2020","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00103"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00627"},{"key":"ref37","first-page":"261","article-title":"You&#x2019;ll never walk alone: Modeling social behavior for multi-target tracking","author":"pellegrini","year":"2009","journal-title":"Proc IEEE 12th Int Conf Comput Vis"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2795740"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587584"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2803217"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.198"},{"key":"ref62","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1561\/2000000094"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.206"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1287\/opre.15.6.1171"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2876253"},{"key":"ref65","year":"2018","journal-title":"Gurobi Optimizer Reference Manual"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1090\/qam\/10666"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299036"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1137\/0111030"},{"key":"ref68","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 (NIPS)"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.283"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298971"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1017\/9781108583664"},{"key":"ref22","article-title":"MOT16: A benchmark for multi-object tracking","author":"milan","year":"2016","journal-title":"arXiv 1603 00831 [cs]"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11752-2_21"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00106"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.347"},{"key":"ref25","article-title":"Tracking with multi-level features","author":"henschel","year":"2016","journal-title":"arXiv 1607 07304"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2015.XI.006"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2522398"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15555-0_21"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.374"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.376"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cvi.2016.0178"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2017.03.015"},{"key":"ref54","first-page":"1338","article-title":"Combining passive visual cameras and active imu sensors to track cooperative people","author":"jiang","year":"2015","journal-title":"Proc Int Conf Inf Fusion"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2910923"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_37"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00227"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2011.6130233"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.453"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_8"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00192"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00632"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.394"},{"key":"ref16","article-title":"Dissecting person re-identification from the viewpoint of viewpoint","author":"sun","year":"2018","journal-title":"arXiv 1812 02162"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-6296-4"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WISP.2009.5286542"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13131"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2975842"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-809276-7.00011-4"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2014.6918641"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989311"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1704","DOI":"10.1109\/TPAMI.2012.242","article-title":"Learning to track and identify players from broadcast sports videos","volume":"35","author":"lu","year":"2013","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSC.2009.5289406"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1177\/0278364910388963"},{"key":"ref9","first-page":"1","article-title":"Fine-grained visual dribbling style analysis for soccer videos with augmented dribble energy image","author":"li","year":"2019","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit Workshops (CVPRW)"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2956703"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00409"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2959256"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2898567"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_13"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995384"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.518"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_23"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8835130\/09166762.pdf?arnumber=9166762","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:56:11Z","timestamp":1641988571000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9166762\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":80,"URL":"https:\/\/doi.org\/10.1109\/tip.2020.3013801","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}