{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T04:21:19Z","timestamp":1780633279526,"version":"3.54.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"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":["61903034"],"award-info":[{"award-number":["61903034"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1913203"],"award-info":[{"award-number":["U1913203"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61973034"],"award-info":[{"award-number":["61973034"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018621","name":"Program for Changjiang Scholars and Innovative Research Team in University","doi-asserted-by":"publisher","award":["IRT-16R06"],"award-info":[{"award-number":["IRT-16R06"]}],"id":[{"id":"10.13039\/501100018621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018621","name":"Program for Changjiang Scholars and Innovative Research Team in University","doi-asserted-by":"publisher","award":["T2014224"],"award-info":[{"award-number":["T2014224"]}],"id":[{"id":"10.13039\/501100018621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012236","name":"Beijing Institute of Technology Research Fund Program for Young Scholars","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012236","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1109\/tits.2022.3160501","type":"journal-article","created":{"date-parts":[[2022,4,13]],"date-time":"2022-04-13T19:33:09Z","timestamp":1649878389000},"page":"18088-18099","source":"Crossref","is-referenced-by-count":11,"title":["Action-State Joint Learning-Based Vehicle Taillight Recognition in Diverse Actual Traffic Scenes"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4121-908X","authenticated-orcid":false,"given":"Wenjie","family":"Song","sequence":"first","affiliation":[{"name":"School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shixian","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ting","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3964-2433","authenticated-orcid":false,"given":"Yi","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengyin","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISIE.2009.5218254"},{"key":"ref2","first-page":"134","article-title":"Rear lights vehicle detection for collision avoidance","volume-title":"Proc. 19th Int. Conf. Syst., Signals Image Process. (IWSSIP)","author":"Skodras"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2016.7535481"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2016.7795765"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2012.2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CISDA.2012.6291543"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2400420"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2014.6856477"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794214"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2017.8317782"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814278"},{"key":"ref12","first-page":"568","article-title":"Two-stream convolutional networks for action recognition in videos","volume-title":"Proc. Adv. Neural Inf. Process. Syst., Annu. Conf. Neural Inf. Process. Syst.","volume":"27","author":"Simonyan"},{"key":"ref13","first-page":"3468","article-title":"Spatiotemporal residual networks for video action recognition","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Christoph"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298878"},{"key":"ref15","article-title":"Action recognition using visual attention","author":"Sharma","year":"2015","journal-title":"arXiv:1511.04119"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref17","article-title":"Temporal 3D ConvNets: New architecture and transfer learning for video classification","author":"Diba","year":"2017","journal-title":"arXiv:1711.08200"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/S0097-8485(02)00051-7"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2013.2245231"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0182419"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458120"},{"key":"ref22","first-page":"282","article-title":"Conditional random fields: Probabilistic models for segmenting and labeling sequence data","volume-title":"Proc. 18th Int. Conf. Mach. Learn. (ICML)","author":"Lafferty"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313642"},{"key":"ref24","article-title":"Bidirectional LSTM-CRF models for sequence tagging","author":"Huang","year":"2015","journal-title":"arXiv:1508.01991"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref26","article-title":"YOLOv3: An incremental improvement","author":"Redmon","year":"2018","journal-title":"arXiv:1804.02767"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296962"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref29","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref30","article-title":"Neural machine translation by jointly learning to align and translate","author":"Bahdanau","year":"2014","journal-title":"arXiv:1409.0473"},{"key":"ref31","article-title":"Recurrent neural network regularization","author":"Zaremba","year":"2014","journal-title":"arXiv:1409.2329"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref33","volume-title":"Vehicle Rear Signal Dataset","year":"2017"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045336"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref36","article-title":"MOT16: A benchmark for multi-object tracking","author":"Milan","year":"2016","journal-title":"arXiv:1603.00831"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref38","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"25","author":"Krizhevsky"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9916643\/09756944.pdf?arnumber=9756944","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T21:28:07Z","timestamp":1705958887000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9756944\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10]]},"references-count":38,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tits.2022.3160501","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10]]}}}