{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T11:37:19Z","timestamp":1777981039373,"version":"3.51.4"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61806055"],"award-info":[{"award-number":["61806055"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004750","name":"Aeronautical Science Foundation of China","doi-asserted-by":"publisher","award":["20200058069001"],"award-info":[{"award-number":["20200058069001"]}],"id":[{"id":"10.13039\/501100004750","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005145","name":"Basic Research Project of Leading Technology of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20192004"],"award-info":[{"award-number":["BK20192004"]}],"id":[{"id":"10.13039\/501100005145","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2242021R41094"],"award-info":[{"award-number":["2242021R41094"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Biom. Behav. Identity Sci."],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1109\/tbiom.2022.3188825","type":"journal-article","created":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T19:28:52Z","timestamp":1657135732000},"page":"105-114","source":"Crossref","is-referenced-by-count":4,"title":["Overview of Reinforcement Learning for Person Re-Identification"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9235-9429","authenticated-orcid":false,"given":"Wei","family":"Li","sequence":"first","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9158-6611","authenticated-orcid":false,"given":"Xiaoyu","family":"Li","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9806-8737","authenticated-orcid":false,"given":"Chuyi","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1982-6780","authenticated-orcid":false,"given":"Aiguo","family":"Song","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"IS-GAN:Learning disentangled representation for robust person re-identification","author":"eom","year":"2021","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.10.018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00335"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3113517"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-6296-4_8"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33863-2_43"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2700762"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3054775"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.138"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-8285-7"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10061-9"},{"key":"ref19","first-page":"1","article-title":"Abstraction and generalization in reinforcement learning: A summary and framework","author":"ponsen","year":"2009","journal-title":"Proc Int Workshop Adapt Learn Agents"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.03.003"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.357"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_52"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.405"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_45"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21227-7_9"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00622"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00709"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"ref43","first-page":"31","article-title":"Human reidentification with transferred metric learning","author":"li","year":"2012","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref49","year":"2022","journal-title":"NLPR MCT Dataset"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.08.001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-10953-6"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.01.079"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2020.103970"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2978344"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33863-2_39"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-6296-4_10"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451521"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"33735","DOI":"10.1007\/s11042-019-08364-9","article-title":"Recurrent matching networks of spatial alignment learning for person re-identification","volume":"79","author":"lin","year":"2019","journal-title":"Multimedia Tools Appl"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2890394"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2995272"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00973"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2899588"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240622"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.121"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2953587"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.12.017"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2021.103418"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533161"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412947"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2012.2218595"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSC.2013.6778207"},{"key":"ref25","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","author":"mnih","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-09823-4"},{"key":"ref22","first-page":"75","article-title":"Least-squares methods for policy iteration","author":"bu?oniu","year":"2012","journal-title":"Reinforcement Learning State-of-the-Art"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2743240"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3036762"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.03.057"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_44"}],"container-title":["IEEE Transactions on Biometrics, Behavior, and Identity Science"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8423754\/9997805\/09816008.pdf?arnumber=9816008","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T19:34:38Z","timestamp":1674502478000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9816008\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1]]},"references-count":54,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tbiom.2022.3188825","relation":{},"ISSN":["2637-6407"],"issn-type":[{"value":"2637-6407","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1]]}}}