{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T09:05:50Z","timestamp":1777626350118,"version":"3.51.4"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"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 Robot. Autom. Lett."],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1109\/lra.2020.3043169","type":"journal-article","created":{"date-parts":[[2020,12,9]],"date-time":"2020-12-09T03:06:26Z","timestamp":1607483186000},"page":"287-294","source":"Crossref","is-referenced-by-count":11,"title":["Crowd Density Forecasting by Modeling Patch-Based Dynamics"],"prefix":"10.1109","volume":"6","author":[{"given":"Hiroaki","family":"Minoura","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2724-6233","authenticated-orcid":false,"given":"Ryo","family":"Yonetani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mai","family":"Nishimura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9014-1389","authenticated-orcid":false,"given":"Yoshitaka","family":"Ushiku","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"261","article-title":"You’ll never walk alone: Modeling social behavior for multi-target tracking","author":"pellegrini","year":"0","journal-title":"Proc Int Conf Comput Vis"},{"key":"ref38","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"0","journal-title":"Proc European Conf Comput Vis"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00839"},{"key":"ref32","article-title":"C3 framework: An open-source pytorch code for crowd counting","author":"gao","year":"2019","journal-title":"arXiv 1907 02724"},{"key":"ref31","first-page":"1522","article-title":"Predicting occupancy distributions of walking humans with convolutional neural networks","volume":"3","author":"johannes","year":"2018","journal-title":"RA-L"},{"key":"ref30","first-page":"2052","article-title":"Dynamic environment prediction in urban scenes using recurrent representation learning","author":"masha","year":"0","journal-title":"Proc ITSC"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3129395"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.326"},{"key":"ref34","first-page":"2450","article-title":"Recurrent world models facilitate policy evolution","author":"ha","year":"0","journal-title":"Proc NeurIPS"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2837153"},{"key":"ref40","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.07.007"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.12.070"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00145"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2007.01089.x"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00246"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1177\/0278364920917446"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460504"},{"key":"ref28","first-page":"9299","article-title":"Long-term occupancy grid prediction using recurrent neural networks","author":"marcel","year":"0","journal-title":"Proc Int Conf Robot Automat"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907442"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/519"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206628"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0278364914557874"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01085"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2010.5509779"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2013.6696982"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2017.8317913"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967852"},{"key":"ref9","article-title":"Discrete residual flow for probabilistic pedestrian behavior prediction","author":"jain","year":"0","journal-title":"Proc CoRL"},{"key":"ref1","first-page":"1702","article-title":"Online learning for crowd-sensitive path planning","author":"aroor","year":"0","journal-title":"Proc Influential Conf Area Agents Multiagent Systems"},{"key":"ref46","first-page":"4697","article-title":"Egocentric future localization","author":"soo park","year":"0","journal-title":"Proc Conf Comput Vis Pattern Recognit"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref45","article-title":"Scene induced multi-modal trajectory forecasting via planning","author":"deo","year":"2019","journal-title":"arXiv 1905 09949"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8916927"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00792"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.416"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533003"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00895"},{"key":"ref41","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569426"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2012.02.014"},{"key":"ref26","first-page":"1655","article-title":"Deep spatio-temporal residual networks for citywide crowd flows prediction","author":"zhang","year":"0","journal-title":"Proc 31st AAAI Conf Adv Artif Intell"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2969925"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00376"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9285111\/09286551.pdf?arnumber=9286551","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:01:37Z","timestamp":1642003297000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9286551\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":47,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/lra.2020.3043169","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4]]}}}