{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:18:25Z","timestamp":1740169105634,"version":"3.37.3"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61703337"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Aerospace Science and Technology Innovation Fund","award":["SAST2017-082"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2929749","type":"journal-article","created":{"date-parts":[[2019,7,18]],"date-time":"2019-07-18T15:51:41Z","timestamp":1563465101000},"page":"114320-114333","source":"Crossref","is-referenced-by-count":8,"title":["An Optimal Long-Term Aerial Infrared Object Tracking Algorithm With Re-Detection"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0489-8981","authenticated-orcid":false,"given":"Xiaotian","family":"Wang","sequence":"first","affiliation":[]},{"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6861-1391","authenticated-orcid":false,"given":"Shaoyi","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3892-129X","authenticated-orcid":false,"given":"Yangguang","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Yan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref33","first-page":"472","article-title":"Beyond correlation filters: Learning continuous convolution operators for visual tracking","author":"danelljan","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/rs11050549"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.80"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.129"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2900666"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/2419579"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.09.017"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.510"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_22"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301290"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539960"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345390"},{"key":"ref14","first-page":"1","article-title":"Accurate scale estimation for robust visual tracking","author":"danelljan","year":"2014","journal-title":"Proc Brit Mach Vis Conf"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2609928"},{"key":"ref16","first-page":"254","article-title":"A scale adaptive kernel correlation filter tracker with feature integration","author":"li","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.490"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.355"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299177"},{"key":"ref28","first-page":"702","article-title":"Exploiting the circulant structure of tracking-by-detection with kernels","author":"henriques","year":"2012","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2879249"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.239"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.12.011"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.465"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.143"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.352"},{"key":"ref8","first-page":"3356","article-title":"BranchOut: Regularization for Online ensemble tracking with convolutional neural networks","author":"han","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref7","article-title":"Modeling and propagating CNNS in a tree structure for visual tracking","author":"nam","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref2","first-page":"850","article-title":"Fully-convolutional siamese networks for object tracking","author":"bertinetto","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.357"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.07.032"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref22","first-page":"11","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.312"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2903132"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2388226"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2509974"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2516982"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08765722.pdf?arnumber=8765722","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:31:54Z","timestamp":1641987114000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8765722\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2929749","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}