{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:43:48Z","timestamp":1740141828565,"version":"3.37.3"},"reference-count":20,"publisher":"SAGE Publications","issue":"10","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["Nos.61772387 and 61802296"],"award-info":[{"award-number":["Nos.61772387 and 61802296"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Funds of Ministry of Education and China Mobile","award":["MCM20170202"],"award-info":[{"award-number":["MCM20170202"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation Grant","doi-asserted-by":"crossref","award":["No. 2017M620438"],"award-info":[{"award-number":["No. 2017M620438"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2018,10]]},"abstract":"<jats:p> Vehicle tracking task plays an important role on the Internet of vehicles and intelligent transportation system. Beyond the traditional Global Positioning System sensor, the image sensor can capture different kinds of vehicles, analyze their driving situation, and can interact with them. Aiming at the problem that the traditional convolutional neural network is vulnerable to background interference, this article proposes vehicle tracking method based on human attention mechanism for self-selection of deep features with an inter-channel fully connected layer. It mainly includes the following contents: (1) a fully convolutional neural network fused attention mechanism with the selection of the deep features for convolution; (2) a separation method for template and semantic background region to separate target vehicles from the background in the initial frame adaptively; (3) a two-stage method for model training using our traffic dataset. The experimental results show that the proposed method improves the tracking accuracy without an increase in tracking time. Meanwhile, it strengthens the robustness of algorithm under the condition of the complex background region. The success rate of the proposed method in overall traffic datasets is higher than Siamese network by about 10%, and the overall precision is higher than Siamese network by 8%. <\/jats:p>","DOI":"10.1177\/1550147718805946","type":"journal-article","created":{"date-parts":[[2018,10,12]],"date-time":"2018-10-12T06:24:33Z","timestamp":1539325473000},"page":"155014771880594","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Attention-mechanism-based tracking method for intelligent Internet of vehicles"],"prefix":"10.1177","volume":"14","author":[{"given":"Xu","family":"Kang","sequence":"first","affiliation":[{"name":"The State Key Laboratory of Integrated Services Network, Xidian University, Xi\u2019an, P.R. China"}]},{"given":"Bin","family":"Song","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Integrated Services Network, Xidian University, Xi\u2019an, P.R. China"}]},{"given":"Jie","family":"Guo","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Integrated Services Network, Xidian University, Xi\u2019an, P.R. China"}]},{"given":"Xiaojiang","family":"Du","sequence":"additional","affiliation":[{"name":"Department of Computer & Information Sciences, Temple University, Philadelphia, PA, USA"}]},{"given":"Mohsen","family":"Guizani","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA"}]}],"member":"179","published-online":{"date-parts":[[2018,10,11]]},"reference":[{"first-page":"3074","volume-title":"IEEE international conference on computer vision (ICCV)","author":"Ma C","key":"bibr1-1550147718805946"},{"first-page":"621","volume-title":"IEEE international conference on computer vision (ICCV)","author":"Danelljan M","key":"bibr2-1550147718805946"},{"first-page":"3119","volume-title":"IEEE international conference on computer vision (ICCV)","author":"Wang L","key":"bibr4-1550147718805946"},{"first-page":"4293","volume-title":"IEEE conference on computer vision and pattern recognition (CVPR)","author":"Nam H","key":"bibr5-1550147718805946"},{"first-page":"749","volume-title":"European conference on computer vision (ICCV)","author":"Held D","key":"bibr6-1550147718805946"},{"issue":"99","key":"bibr7-1550147718805946","first-page":"1","author":"Chen K","year":"2016","journal-title":"IEEE T Circ Syst Vid"},{"first-page":"1420","volume-title":"IEEE conference on computer vision and pattern recognition (CVPR)","author":"Tao R","key":"bibr8-1550147718805946"},{"first-page":"850","volume-title":"European conference on computer vision (ICCV)","author":"Bertinetto L","key":"bibr9-1550147718805946"},{"first-page":"4353","volume-title":"IEEE conference on computer vision and pattern recognition (CVPR)","author":"Zagoruyko S","key":"bibr10-1550147718805946"},{"key":"bibr11-1550147718805946","first-page":"539","volume-title":"IEEE conference on computer vision and pattern recognition (CVPR)","volume":"1","author":"Chopra S"},{"first-page":"1449","volume-title":"IEEE international conference on computer vision (ICCV)","author":"Lin TY","key":"bibr12-1550147718805946"},{"first-page":"1846","volume-title":"IEEE international conference on information and automation","author":"Lin M","key":"bibr13-1550147718805946"},{"first-page":"10","volume-title":"IEEE conference on computer vision and pattern recognition (CVPR)","author":"Kahou SE","key":"bibr14-1550147718805946"},{"first-page":"5552","volume-title":"IEEE international conference on computer vision (ICCV)","author":"Song J","key":"bibr15-1550147718805946"},{"key":"bibr17-1550147718805946","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2700762"},{"first-page":"1237","volume-title":"IEEE international conference on multimedia and expo","author":"Wang Q","key":"bibr18-1550147718805946"},{"key":"bibr19-1550147718805946","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2822663"},{"first-page":"21","volume-title":"IEEE conference on computer vision and pattern recognition (CVPR)","author":"Yang Z","key":"bibr20-1550147718805946"},{"first-page":"289","volume-title":"30th international conference on neural information processing systems","author":"Lu J","key":"bibr21-1550147718805946"},{"first-page":"1097","volume-title":"25th international conference on neural information processing systems","author":"Krizhevsky A","key":"bibr22-1550147718805946"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1550147718805946","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/1550147718805946","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1550147718805946","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,9]],"date-time":"2020-12-09T00:16:44Z","timestamp":1607473004000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1177\/1550147718805946"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":20,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2018,10]]}},"alternative-id":["10.1177\/1550147718805946"],"URL":"https:\/\/doi.org\/10.1177\/1550147718805946","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"type":"print","value":"1550-1477"},{"type":"electronic","value":"1550-1477"}],"subject":[],"published":{"date-parts":[[2018,10]]}}}