{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T15:21:07Z","timestamp":1768317667409,"version":"3.49.0"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,5,27]],"date-time":"2020-05-27T00:00:00Z","timestamp":1590537600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,5,27]],"date-time":"2020-05-27T00:00:00Z","timestamp":1590537600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1007\/s00521-020-05021-3","type":"journal-article","created":{"date-parts":[[2020,5,27]],"date-time":"2020-05-27T16:02:42Z","timestamp":1590595362000},"page":"1055-1065","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":141,"title":["Fuzzy-aided solution for out-of-view challenge in visual tracking under IoT-assisted complex environment"],"prefix":"10.1007","volume":"33","author":[{"given":"Shuai","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuai","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khan","family":"Muhammad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,5,27]]},"reference":[{"issue":"16","key":"5021_CR1","doi-asserted-by":"publisher","first-page":"16989","DOI":"10.1007\/s11042-016-3647-0","volume":"76","author":"Z Pan","year":"2017","unstructured":"Pan Z, Liu S, Fu W (2017) A review of visual moving target tracking. Multim Tools Appl 76(16):16989\u201317018","journal-title":"Multim Tools Appl"},{"key":"5021_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-019-01366-9","author":"M Sajjad","year":"2019","unstructured":"Sajjad M, Zahir S, Ullah A, Akhtar Z, Muhammad K (2019) Human behavior understanding in big multimedia data using CNN based facial expression recognition. Mob Netw Appl. https:\/\/doi.org\/10.1007\/s11036-019-01366-9","journal-title":"Mob Netw Appl"},{"key":"5021_CR3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2960536","author":"K Muhammad","year":"2020","unstructured":"Muhammad K, Tanveer H, Ser JD, Palade V, Albuquerque VHCD (2020) DeepReS: a deep learning-based video summarization strategy for resource-constrained industrial surveillance scenarios. IEEE Trans Ind Inf. https:\/\/doi.org\/10.1109\/TII.2019.2960536","journal-title":"IEEE Trans Ind Inf"},{"key":"5021_CR4","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/j.comcom.2020.01.017","volume":"151","author":"A Paranjothi","year":"2020","unstructured":"Paranjothi A, Khan MS, Patan R, Parizi RM (2020) VANETomo: A congestion identification and control scheme in connected vehicles using network tomography. Comput Commun 151:275\u2013289","journal-title":"Comput Commun"},{"issue":"9","key":"5021_CR5","doi-asserted-by":"publisher","first-page":"1834","DOI":"10.1109\/TPAMI.2014.2388226","volume":"37","author":"Y Wu","year":"2015","unstructured":"Wu Y, Lim J, Yang M-H (2015) Object tracking benchmark. IEEE Trans Pattern Anal Mach Intell 37(9):1834\u20131848","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"5021_CR6","doi-asserted-by":"publisher","first-page":"100071","DOI":"10.1016\/j.iot.2019.100071","volume":"7","author":"A Paranjothi","year":"2019","unstructured":"Paranjothi A, Khan MS, Zeadally S, Pawar A, Hicks D (2019) GSTR: secure multi-hop message dissemination in connected vehicles using social trust model. Internet Things 7:100071","journal-title":"Internet Things"},{"issue":"2","key":"5021_CR7","doi-asserted-by":"publisher","first-page":"e91","DOI":"10.1002\/itl2.91","volume":"2","author":"V Singanamalla","year":"2019","unstructured":"Singanamalla V, Patan R, Khan MS, Kallam S (2019) Reliable and energy-efficient emergency transmission in wireless sensor networks. Internet Technol Lett 2(2):e91","journal-title":"Internet Technol Lett"},{"key":"5021_CR8","unstructured":"Xue M, Ling H (2019)Robust visual tracking using l1 minimization. In: IEEE 12th international conference on computer vision, pp 1436\u20131443"},{"issue":"4","key":"5021_CR9","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/MCI.2019.2937608","volume":"14","author":"X He","year":"2019","unstructured":"He X, Wang K, Xu W (2019) QoE-driven content-centric caching with deep reinforcement learning in edge-enabled IoT. IEEE Comput Intell Mag 14(4):12\u201320","journal-title":"IEEE Comput Intell Mag"},{"key":"5021_CR10","doi-asserted-by":"crossref","unstructured":"Danelljan M, Robinson A, Khan FS, Felsberg M (2016) Beyond correlation filters: learning continuous convolution operators for visual tracking. In 2016 European conference on computer vision, pp 472\u2013488","DOI":"10.1007\/978-3-319-46454-1_29"},{"key":"5021_CR11","doi-asserted-by":"crossref","unstructured":"Bolme DS, Beveridge JR, Draper BA, Lui YM (2010) Visual object tracking using adaptive correlation filters. In 23rd IEEE conference on computer vision & pattern recognition, pp 2544\u20132550","DOI":"10.1109\/CVPR.2010.5539960"},{"key":"5021_CR12","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2018.2805718","author":"X He","year":"2018","unstructured":"He X, Wang K, Huang H, Miyazaki T, Wang Y, Guo S (2018) Green resource allocation based on deep reinforcement learning in content-centric IoT. IEEE Trans Emerg Top Comput. https:\/\/doi.org\/10.1109\/TETC.2018.2805718","journal-title":"IEEE Trans Emerg Top Comput"},{"key":"5021_CR13","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/s11263-014-0740-6","volume":"111","author":"O Shaul","year":"2015","unstructured":"Shaul O, Aharon BH, Dan L, Shai A (2015) Locally orderless tracking. Int J Comput Vis 111:213\u2013228","journal-title":"Int J Comput Vis"},{"issue":"7","key":"5021_CR14","doi-asserted-by":"publisher","first-page":"1409","DOI":"10.1109\/TPAMI.2011.239","volume":"34","author":"Z Kalal","year":"2011","unstructured":"Kalal Z, Mikolajczyk K, Matas J (2011) Tracking-learning-detection. IEEE Trans Pattern Anal Mach Intell 34(7):1409\u20131422","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"10","key":"5021_CR15","doi-asserted-by":"publisher","first-page":"2096","DOI":"10.1109\/TPAMI.2015.2509974","volume":"38","author":"H Sam","year":"2016","unstructured":"Sam H, Stuart G, Amir S, Vibhav V, MingMC SLH, Philip HST (2016) Struck: structured output tracking with kernels. IEEE Trans Pattern Anal Mach Intell 38(10):2096\u20132109","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"3","key":"5021_CR16","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1016\/j.isprsjprs.2007.10.005","volume":"63","author":"H Grabner","year":"2008","unstructured":"Grabner H, Nguyen TT, Gruber B, Bischof H (2008) On-line boosting-based car detection from aerial images. ISPRS J Photogramm Remote Sens 63(3):382\u2013396","journal-title":"ISPRS J Photogramm Remote Sens"},{"key":"5021_CR17","doi-asserted-by":"crossref","unstructured":"Henriques JF, Rui C, Martins P, Batista J (2012) Exploiting the circulant structure of tracking-by-detection with kernels. In: Proceedings of European conference on computer vision, pp 702\u2013715","DOI":"10.1007\/978-3-642-33765-9_50"},{"issue":"3","key":"5021_CR18","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/TPAMI.2014.2345390","volume":"37","author":"JF Henriques","year":"2015","unstructured":"Henriques JF, Caseiro R, Martins P, Batista J (2015) High-speed tracking with kernelized correlation filters. IEEE Trans Pattern Anal Mach Intell 37(3):583\u2013596","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"5021_CR19","doi-asserted-by":"crossref","unstructured":"Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: IEEE computer society conference on computer vision and pattern recognition, pp 886\u2013893","DOI":"10.1109\/CVPR.2005.177"},{"key":"5021_CR20","doi-asserted-by":"crossref","unstructured":"Danelljan M, Khan FS, Felsberg M, Weijer JVD (2014) Adaptive color attributes for real-time visual tracking. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 1090\u20131097","DOI":"10.1109\/CVPR.2014.143"},{"key":"5021_CR21","unstructured":"Yang L, Zhu J (2014) A scale adaptive kernel correlation filter tracker with feature integration. In: European conference on computer vision workshops, pp 254\u2013265"},{"key":"5021_CR22","doi-asserted-by":"crossref","unstructured":"Liu T, Gang W, Yang Q (2015) Real-time part-based visual tracking via adaptive correlation filters. In: IEEE conference on computer vision and pattern recognition, pp 4902\u20134912","DOI":"10.1109\/CVPR.2015.7299124"},{"key":"5021_CR23","doi-asserted-by":"crossref","unstructured":"Hong Z, Chen Z, Wang C, Mei X, Prokhorov D, Tao D (2015) MUlti-Store Tracker (MUSTer): a cognitive psychology inspired approach to object tracking. In: IEEE conference on computer vision and pattern recognition, pp 749\u2013758","DOI":"10.1109\/CVPR.2015.7298675"},{"key":"5021_CR24","doi-asserted-by":"crossref","unstructured":"Danelljan M, H\u00e4ger G, Khan FS, Felsberg M (2015) Learning spatially regularized correlation filters for visual tracking. IEEE international conference on computer vision, pp 4310\u20134318","DOI":"10.1109\/ICCV.2015.490"},{"key":"5021_CR25","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1016\/j.jvcir.2015.12.009","volume":"35","author":"Y Ruan","year":"2016","unstructured":"Ruan Y, Wei Z (2016) Discriminative descriptors for object tracking. J Vis Commun Image Represent 35:146\u2013154","journal-title":"J Vis Commun Image Represent"},{"key":"5021_CR26","unstructured":"Chao M, Huang JB, Yang X, Yang MH (2015) Hierarchical convolutional features for visual tracking. In: IEEE international conference on computer vision, pp 3074\u20133082"},{"key":"5021_CR27","unstructured":"Dockstaderf SL, Tekalp AM (2001) Multi-view spatial integration and tracking with Bayesian networks. In: International conference on image processing, pp 630\u2013633"},{"issue":"12","key":"5021_CR28","doi-asserted-by":"publisher","first-page":"2051","DOI":"10.1109\/83.887973","volume":"9","author":"Y Fu","year":"2000","unstructured":"Fu Y, Erdem AT, Tekalp AM (2000) Tracking visible boundary of objects using occlusion adaptive motion snake. IEEE Trans Image Process 9(12):2051\u20132060","journal-title":"IEEE Trans Image Process"},{"key":"5021_CR29","doi-asserted-by":"crossref","unstructured":"Comaniciu D, Ramesh V, Meer P (2000) Real-time tracking of non-rigid objects using mean shift. In: IEEE conference on computer vision & pattern recognition, pp 142\u2013149","DOI":"10.1109\/CVPR.2000.854761"},{"issue":"5","key":"5021_CR30","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1109\/TPAMI.2003.1195991","volume":"25","author":"D Comaniciu","year":"2003","unstructured":"Comaniciu D, Ramesh V, Meer P (2003) Kernel-based object tracking. IEEE Trans Pattern Anal Mach Intell 25(5):564\u2013577","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"5021_CR31","doi-asserted-by":"crossref","unstructured":"Kalal Z, Matas J, Mikolajczyk K (2009) Online learning of robust object detectors during unstable tracking. In: IEEE international conference on computer vision workshops, pp 1417\u20131424","DOI":"10.1109\/ICCVW.2009.5457446"},{"issue":"5","key":"5021_CR32","doi-asserted-by":"publisher","first-page":"853","DOI":"10.1109\/TMM.2005.854437","volume":"7","author":"K Hariharakrishnan","year":"2005","unstructured":"Hariharakrishnan K, Schonfeld D (2005) Fast object tracking using adaptive block matching. IEEE Trans Multim 7(5):853\u2013859","journal-title":"IEEE Trans Multim"},{"key":"5021_CR33","doi-asserted-by":"crossref","unstructured":"Zhu Z, Wang Q, Li B, Wu W, Yan J, Hu W (2018) Distractor-aware siamese networks for visual object tracking. In: European conference on computer vision, pp 103\u2013119","DOI":"10.1007\/978-3-030-01240-3_7"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05021-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-020-05021-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05021-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,26]],"date-time":"2021-05-26T23:50:05Z","timestamp":1622073005000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-020-05021-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,27]]},"references-count":33,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,2]]}},"alternative-id":["5021"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-05021-3","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,27]]},"assertion":[{"value":"6 January 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 May 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 May 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"In compliance with Springer policy and our ethical obligation as researchers, no potential conflict of interest should be reported. The authors certify that they have no involvement in any organization or entity with any financial interest, or non-financial interest in the subject matter discussed in this manuscript.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}