{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T13:10:45Z","timestamp":1748437845559,"version":"3.37.3"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","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:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program","doi-asserted-by":"publisher","award":["2018YFC0825504"],"award-info":[{"award-number":["2018YFC0825504"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20B2060"],"award-info":[{"award-number":["U20B2060"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Director Foundation of the National Engineering Laboratory for Social Security Risk Perception and Prevention and Control of Big Data Application"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3346044","type":"journal-article","created":{"date-parts":[[2023,12,22]],"date-time":"2023-12-22T19:49:38Z","timestamp":1703274578000},"page":"144966-144977","source":"Crossref","is-referenced-by-count":2,"title":["Dual Feature Fusion Tracking With Combined Cross-Correlation and Transformer"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1914-9058","authenticated-orcid":false,"given":"Chao","family":"Che","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Xinjiang University, &#x00DC;r&#x00FC;mqi, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0986-7674","authenticated-orcid":false,"given":"Yanyun","family":"Fu","sequence":"additional","affiliation":[{"name":"Beijing Academy of Science and Technology, Beijing, China"}]},{"given":"Wenxi","family":"Shi","sequence":"additional","affiliation":[{"name":"Key Laboratory of Big Data of Xinjiang Social Security Risk and Xinjiang Lianhaichuangzhi Information Technology Company Ltd., &#x00DC;r&#x00FC;mqi, China"}]},{"given":"Zhansheng","family":"Zhu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Big Data of Xinjiang Social Security Risk and Xinjiang Lianhaichuangzhi Information Technology Company Ltd., &#x00DC;r&#x00FC;mqi, China"}]},{"given":"Deyong","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Big Data of Xinjiang Social Security Risk and Xinjiang Lianhaichuangzhi Information Technology Company Ltd., &#x00DC;r&#x00FC;mqi, China"}]}],"member":"263","reference":[{"issue":"12","key":"ref1","doi-asserted-by":"crossref","first-page":"2057","DOI":"10.11834\/jig.190372","article-title":"Survey of visual object tracking algorithms based on deep learning","volume":"24","author":"Li","year":"2019","journal-title":"J. Image Graph."},{"issue":"2","key":"ref2","first-page":"323","article-title":"Progress on human-object interaction detection of deep learning","volume":"16","author":"Chenzhao","year":"2022","journal-title":"J. Frontiers Comput. Sci. Technol."},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1049\/cvi2.12148"},{"issue":"4","key":"ref4","first-page":"335","article-title":"Recent advance in deep visual object tracking","volume":"51","author":"Ning","year":"2021","journal-title":"J. Univ. Sci. Technol. China"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.108485"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-02572-0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6562-8"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.08.008"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_56"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00935"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00803"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00162"},{"key":"ref13","article-title":"TrTr: Visual tracking with transformer","author":"Zhao","year":"2021","journal-title":"arXiv:2105.03817"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01028"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/127"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00441"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00525"},{"key":"ref18","first-page":"1","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Vaswani"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01186"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00042"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"ref22","article-title":"CosFormer: Rethinking softmax in attention","author":"Qin","year":"2022","journal-title":"arXiv:2202.08791"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105448"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.12.084"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6944"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2022.107730"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58589-1_46"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3167331"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1049\/ipr2.12741"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2023.3240087"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICME55011.2023.00203"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01324"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00859"},{"key":"ref34","first-page":"10353","article-title":"HorNet: Efficient high-order spatial interactions with recursive gated convolutions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Rao"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01020"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967274"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2957464"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_19"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00552"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2388226"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00661"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01517"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00942"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00196"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00858"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-15919-0_8"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10371280.pdf?arnumber=10371280","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T19:09:07Z","timestamp":1730920147000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10371280\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3346044","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2023]]}}}