{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:28:05Z","timestamp":1740122885831,"version":"3.37.3"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"35-36","license":[{"start":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T00:00:00Z","timestamp":1594166400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T00:00:00Z","timestamp":1594166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 61671423","No. 61271403"],"award-info":[{"award-number":["No. 61671423","No. 61271403"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1007\/s11042-020-09164-2","type":"journal-article","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T01:02:36Z","timestamp":1594170156000},"page":"25873-25887","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A strong feature representation for siamese network tracker"],"prefix":"10.1007","volume":"79","author":[{"given":"Zhipeng","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1995-216X","authenticated-orcid":false,"given":"Dong","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,8]]},"reference":[{"key":"9164_CR1","doi-asserted-by":"crossref","unstructured":"Bertinetto L, Valmadre J, Golodetz S, Miksik O, Torr PH (2016) Staple: Complementary learners for real-time tracking. In: CVPR, pp 1401\u20131409","DOI":"10.1109\/CVPR.2016.156"},{"key":"9164_CR2","doi-asserted-by":"crossref","unstructured":"Bertinetto L, Valmadre J, Henriques J, Vedaldi A, Torr PH (2016) Fully-convolutional siamese networks for object tracking. In: ECCV, pp 850\u2013865","DOI":"10.1007\/978-3-319-48881-3_56"},{"key":"9164_CR3","doi-asserted-by":"crossref","unstructured":"Bolme DS, Beveridge JR, Draper BA, Lui YM (2010) Visual object tracking using adaptive correlation filters. In: CVPR, pp 2544\u20132550","DOI":"10.1109\/CVPR.2010.5539960"},{"issue":"7","key":"9164_CR4","doi-asserted-by":"publisher","first-page":"3611","DOI":"10.1109\/TIP.2018.2819362","volume":"27","author":"K Chen","year":"2018","unstructured":"Chen K, Tao W (2018) Convolutional regression for visual tracking. IEEE Trans Image Process 27(7):3611\u20133620","journal-title":"IEEE Trans Image Process"},{"key":"9164_CR5","doi-asserted-by":"crossref","unstructured":"Danelljan M, Shahbaz Khan F, Felsberg M, Van de Weijer J (2014) Adaptive color attributes for real-time visual tracking. In: CVPR, pp 1090\u20131097","DOI":"10.1109\/CVPR.2014.143"},{"key":"9164_CR6","doi-asserted-by":"crossref","unstructured":"Danelljan M, Hager G, Shahbaz Khan F, Felsberg M (2015) Convolutional features for correlation filter based visual tracking. In: ICCV Workshops, pp 58\u201366","DOI":"10.1109\/ICCVW.2015.84"},{"key":"9164_CR7","doi-asserted-by":"crossref","unstructured":"Danelljan M, Hager G, Shahbaz Khan F, et al. (2015) Convolutional features for correlation filter based visual tracking. In: CVPR Workshops, pp 58\u201366","DOI":"10.1109\/ICCVW.2015.84"},{"key":"9164_CR8","doi-asserted-by":"crossref","unstructured":"Danelljan M, Hager G, Shahbaz Khan F et al (2015) Learning spatially regularized correlation filters for visual tracking. In: ICCV, pp 4310\u20134318","DOI":"10.1109\/ICCV.2015.490"},{"key":"9164_CR9","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 ECCV, pp 472\u2013488","DOI":"10.1007\/978-3-319-46454-1_29"},{"key":"9164_CR10","doi-asserted-by":"crossref","unstructured":"Danelljan M, Bhat G, Shahbaz Khan F, Felsberg M (2017) ECO: efficient convolution operators for tracking. In: In CVPR, pp 6638\u20136646","DOI":"10.1109\/CVPR.2017.733"},{"key":"9164_CR11","unstructured":"Dong X, Shen J, Wang W, Shao L, Ling H, Porikli F (2019) Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"9164_CR12","doi-asserted-by":"crossref","unstructured":"Fan H, Ling H (2017) Sanet: Structure-aware network for visual tracking. In: CVPR Workshops, pp 42\u201349","DOI":"10.1109\/CVPRW.2017.275"},{"key":"9164_CR13","doi-asserted-by":"crossref","unstructured":"Fan DP, Cheng MM, Liu JJ, Gao SH, Hou Q, Borji A (2018) Salient objects in clutter: Bringing salient object detection to the foreground. In: ECCV, pp 186\u2013202","DOI":"10.1007\/978-3-030-01267-0_12"},{"key":"9164_CR14","doi-asserted-by":"crossref","unstructured":"Fan DP, Wang W, Cheng MM, Shen J (2019) Shifting more attention to video salient object detection. In: CVPR, pp 8554\u20138564","DOI":"10.1109\/CVPR.2019.00875"},{"key":"9164_CR15","doi-asserted-by":"crossref","unstructured":"Guo Q, Feng W, Zhou C, Huang R, Wan L, Wang S (2017) Learning dynamic siamese network for visual object tracking. In: ICCV, pp 1763\u20131771","DOI":"10.1109\/ICCV.2017.196"},{"issue":"5","key":"9164_CR16","doi-asserted-by":"publisher","first-page":"2526","DOI":"10.1109\/TIP.2018.2806280","volume":"27","author":"E Gundogdu","year":"2018","unstructured":"Gundogdu E, Alatan AA (2018) Good features to correlate for visual tracking. IEEE Trans Image Process 27(5):2526\u20132540","journal-title":"IEEE Trans Image Process"},{"issue":"10","key":"9164_CR17","doi-asserted-by":"publisher","first-page":"2096","DOI":"10.1109\/TPAMI.2015.2509974","volume":"38","author":"S Hare","year":"2015","unstructured":"Hare S, Golodetz S, Saffari A, Vineet V, Cheng MM, Hicks SL, Torr PH (2015) Struck: Structured output tracking with kernels. IEEE Trans Pattern Anal Mach Intell 38(10):2096\u20132109","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9164_CR18","doi-asserted-by":"crossref","unstructured":"He A, Luo C, Tian X, Zeng W (2018) A twofold siamese network for real-time object tracking. In: CVPR, pp 4834\u20134843","DOI":"10.1109\/CVPR.2018.00508"},{"key":"9164_CR19","doi-asserted-by":"crossref","unstructured":"Henriques J, Caseiro R, Martins P, Batista J (2012) Exploiting the circulant structure of tracking-by-detection with kernels. In: ECCV, pp 702\u2013715","DOI":"10.1007\/978-3-642-33765-9_50"},{"issue":"3","key":"9164_CR20","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/TPAMI.2014.2345390","volume":"37","author":"J Henriques","year":"2014","unstructured":"Henriques J, Caseiro R, Martins P, Batista J (2014) 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":"9164_CR21","doi-asserted-by":"crossref","unstructured":"Held D, Thrun S, Savarese S (2016) Learning to track at 100 fps with deep regression networks. In: ECCV, pp 749\u2013765","DOI":"10.1007\/978-3-319-46448-0_45"},{"key":"9164_CR22","doi-asserted-by":"crossref","unstructured":"Hua Y, Alahari K, Schmid C (2015) Online object tracking with proposal selection. In: ICCV, pp 3092\u20133100","DOI":"10.1109\/ICCV.2015.354"},{"issue":"11","key":"9164_CR23","doi-asserted-by":"publisher","first-page":"2137","DOI":"10.1109\/TPAMI.2016.2516982","volume":"38","author":"M Kristan","year":"2016","unstructured":"Kristan M, Matas J, Leonardis A, Voj\u00ed\u0159 T, Pflugfelder R, Fernandez G, \u010cehovin L (2016) A novel performance evaluation methodology for single-target trackers. IEEE Trans Pattern Anal Mach Intell 38(11):2137\u20132155","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9164_CR24","doi-asserted-by":"crossref","unstructured":"Li Y, Zhu J (2014) A scale adaptive kernel correlation filter tracker with feature integration. In: ECCV, pp 254\u2013265","DOI":"10.1007\/978-3-319-16181-5_18"},{"key":"9164_CR25","doi-asserted-by":"crossref","unstructured":"Li B, Yan J, Wu W, Zhu Z, Hu X (2018) High performance visual tracking with siamese region proposal network. In CVPR, pp 8971\u20138980","DOI":"10.1109\/CVPR.2018.00935"},{"key":"9164_CR26","unstructured":"Li Y, Zhang X (2019) SiamVGG: Visual Tracking using Deeper Siamese Networks. arXiv:1902.02804"},{"key":"9164_CR27","doi-asserted-by":"crossref","unstructured":"Liang Z, Shen J (2019) Local Semantic Siamese Networks for Fast Tracking. IEEE Transactions on Image Processing","DOI":"10.1109\/TIP.2019.2959256"},{"key":"9164_CR28","doi-asserted-by":"crossref","unstructured":"Lukezic A, Vojir T, Cehovin Zajc L, Matas J, Kristan M (2017) Discriminative correlation filter with channel and spatial reliability. In: CVPR, pp 6309\u20136318","DOI":"10.1109\/CVPR.2017.515"},{"key":"9164_CR29","unstructured":"Nam H, Baek M, Han B (2016) Modeling and propagating cnns in a tree structure for visual tracking. arXiv:1608.07242"},{"key":"9164_CR30","doi-asserted-by":"crossref","unstructured":"Nam H, Han B (2016) Learning multi-domain convolutional neural networks for visual tracking. In: CVPR, pp 4293\u20134302","DOI":"10.1109\/CVPR.2016.465"},{"issue":"6","key":"9164_CR31","doi-asserted-by":"publisher","first-page":"1990","DOI":"10.1109\/TCYB.2018.2803217","volume":"49","author":"J Shen","year":"2018","unstructured":"Shen J, Liang Z, Liu J, Sun H, Shao L, Tao D (2018) Multiobject tracking by submodular optimization. IEEE Trans Cybern 49(6):1990\u20132001","journal-title":"IEEE Trans Cybern"},{"key":"9164_CR32","doi-asserted-by":"crossref","unstructured":"Shen J, Tang X, Dong X, Shao L (2019) Visual object tracking by hierarchical attention siamese network. IEEE transactions on cybernetics","DOI":"10.1109\/TCYB.2019.2936503"},{"key":"9164_CR33","doi-asserted-by":"crossref","unstructured":"Valmadre J, Bertinetto L, Henriques J, Vedaldi A, Torr PH (2017) End-to-end representation learning for correlation filter based tracking. In: CVPR, pp 2805\u20132813","DOI":"10.1109\/CVPR.2017.531"},{"key":"9164_CR34","unstructured":"Wang N, Yeung D-Y (2015) Ensemble-based tracking: Ensemble-based Aggregating crowdsourced structured time series data. In: ICML, pp 1107\u20131115"},{"key":"9164_CR35","doi-asserted-by":"crossref","unstructured":"Wang M, Liu Y, Huang Z (2017) Large margin object tracking with circulant feature maps. In: CVPR, pp 4021\u20134029","DOI":"10.1109\/CVPR.2017.510"},{"key":"9164_CR36","doi-asserted-by":"crossref","unstructured":"Wang N, Zhou W, Tian Q, Hong R, Wang M, Li H (2018) Multi-Cue Correlation filters for robust visual tracking. In: CVPR, pp 4844\u20134853","DOI":"10.1109\/CVPR.2018.00509"},{"key":"9164_CR37","doi-asserted-by":"crossref","unstructured":"Wu Y, Lim J, Yang MH (2013) Online object tracking: A benchmark. In: CVPR, pp 2411\u20132418","DOI":"10.1109\/CVPR.2013.312"},{"key":"9164_CR38","doi-asserted-by":"crossref","unstructured":"Zhang T, Xu C, Yang MH (2017) Multi-task correlation particle filter for robust object tracking. In: CVPR, pp 4335\u20134343","DOI":"10.1109\/CVPR.2017.512"},{"key":"9164_CR39","doi-asserted-by":"crossref","unstructured":"Zhao JX, Cao Y, Fan DP, Cheng MM, Li XY, Zhang L (2019) Contrast prior and fluid pyramid integration for RGBD salient object detection. In: CVPR, pp 3927\u20133936","DOI":"10.1109\/CVPR.2019.00405"},{"key":"9164_CR40","doi-asserted-by":"crossref","unstructured":"Zhao JX, Liu JJ, Fan DP, Cao Y, Yang J, Cheng MM (2019) EGNet: Edge guidance network for salient object detection. In: ICCV, pp 8779\u20138788","DOI":"10.1109\/ICCV.2019.00887"},{"key":"9164_CR41","doi-asserted-by":"crossref","unstructured":"Zhu G, Porikli F, Li H (2016) Beyond local search: Tracking objects everywhere with instance-specific proposals. In: CVPR, pp 943\u2013951","DOI":"10.1109\/CVPR.2016.108"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09164-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-020-09164-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09164-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,7]],"date-time":"2021-07-07T23:37:27Z","timestamp":1625701047000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-020-09164-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,8]]},"references-count":41,"journal-issue":{"issue":"35-36","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["9164"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-09164-2","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2020,7,8]]},"assertion":[{"value":"15 August 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 June 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 June 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 July 2020","order":4,"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":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of interests"}}]}}