{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T22:33:06Z","timestamp":1777501986927,"version":"3.51.4"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2019,11,2]],"date-time":"2019-11-02T00:00:00Z","timestamp":1572652800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,11,2]],"date-time":"2019-11-02T00:00:00Z","timestamp":1572652800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61573182"],"award-info":[{"award-number":["61573182"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1007\/s00371-019-01772-w","type":"journal-article","created":{"date-parts":[[2019,11,2]],"date-time":"2019-11-02T12:02:54Z","timestamp":1572696174000},"page":"1783-1795","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["A new TLD target tracking method based on improved correlation filter and adaptive scale"],"prefix":"10.1007","volume":"36","author":[{"given":"Xin","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Songyan","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sijun","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dake","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,2]]},"reference":[{"key":"1772_CR1","doi-asserted-by":"publisher","first-page":"481","DOI":"10.2528\/PIER11081901","volume":"120","author":"S Hong","year":"2011","unstructured":"Hong, S., Wang, L., Shi, Z.G., et al.: Simplified particle PHD filter for multiple-target tracking: algorithm and architecture[J]. Prog. Electromagn. Res. 120, 481\u2013498 (2011)","journal-title":"Prog. Electromagn. Res."},{"issue":"10","key":"1772_CR2","doi-asserted-by":"publisher","first-page":"1232","DOI":"10.1016\/j.patrec.2007.02.008","volume":"28","author":"S Denman","year":"2007","unstructured":"Denman, S., Chandran, V., Sridharan, S.: An adaptive optical flow technique for person tracking systems [J]. Pattern Recogn. Lett. 28(10), 1232\u20131239 (2007)","journal-title":"Pattern Recogn. Lett."},{"issue":"1","key":"1772_CR3","first-page":"139","volume":"62","author":"SA Mahmoudi","year":"2014","unstructured":"Mahmoudi, S.A., Kierzynka, M., Manneback, P., et al.: Real-time motion tracking using optical flow on multiple GPUs[J]. Bull. Pol. Acad. Sci. Tech. Sci. 62(1), 139\u2013150 (2014)","journal-title":"Bull. Pol. Acad. Sci. Tech. Sci."},{"key":"1772_CR4","unstructured":"Zhao, Y., Pei, H., Liu, B.: Meanshift algorithm based on kernel bandwidth adaptive adjust. In: 32nd Chinese Control Conference (CCC), pp. 4486\u20134490 (2013)"},{"issue":"C","key":"1772_CR5","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1016\/j.patrec.2014.03.025","volume":"49","author":"T Vojir","year":"2014","unstructured":"Vojir, T., Noskova, J., Matas, J.: Robust scale-adaptive mean-shift for tracking [J]. Pattern Recogn. Lett. 49(C), 250\u2013258 (2014)","journal-title":"Pattern Recogn. Lett."},{"issue":"1","key":"1772_CR6","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1109\/TCYB.2013.2247592","volume":"44","author":"W Hu","year":"2014","unstructured":"Hu, W., Gao, J., Wang, Y., et al.: Online adaboost-based parameterized methods for dynamic distributed network intrusion detection[J]. IEEE Trans. Cybern. 44(1), 66\u201382 (2014)","journal-title":"IEEE Trans. Cybern."},{"key":"1772_CR7","doi-asserted-by":"crossref","unstructured":"Kalal, Z., Matas, J., Mikolajczyk, K.: Online learning of robust object detectors during unstable tracking[C]. In: 2009 IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops). IEEE, pp. 1417\u20131424 (2009)","DOI":"10.1109\/ICCVW.2009.5457446"},{"key":"1772_CR8","first-page":"1409","volume":"34","author":"Z Kalal","year":"2012","unstructured":"Kalal, Z., Mikolajczyk, K., Matas, J.: Tracking\u2013learning\u2013detection[M]. IEEE Comput. Soc. 34, 1409\u20131422 (2012)","journal-title":"IEEE Comput. Soc."},{"key":"1772_CR9","doi-asserted-by":"crossref","unstructured":"Kalal, Z., Mikolajczyk, K., Matas, J.: Forward-backward error: automatic detection of tracking failures[C]. In: 2010 20th International Conference on Pattern Recognition (ICPR), IEEE, pp. 2756\u20132759 (2010)","DOI":"10.1109\/ICPR.2010.675"},{"key":"1772_CR10","doi-asserted-by":"crossref","unstructured":"Kalal, Z., Mikolajczyk, K., Matas, J.: Face-tld: tracking\u2013learning\u2013detection applied to faces[C]. In: 2010 17th IEEE International Conference on Image Processing (ICIP), IEEE, pp. 3789\u20133792 (2010)","DOI":"10.1109\/ICIP.2010.5653525"},{"key":"1772_CR11","doi-asserted-by":"crossref","unstructured":"Bolme, D.S., Beveridge, J.R., Draper, B.A., et al.: Visual object tracking using adaptive correlation filters[C]. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, pp. 2544\u20132550 (2010)","DOI":"10.1109\/CVPR.2010.5539960"},{"key":"1772_CR12","doi-asserted-by":"crossref","unstructured":"Henriques, J.F., Caseiro, R., Martins, P., et al.: Exploiting the circulant structure of tracking-by-detection with kernels[C]. In: European Conference on Computer Vision, pp. 702\u2013715. Springer, Berlin, Heidelberg (2012)","DOI":"10.1007\/978-3-642-33765-9_50"},{"issue":"3","key":"1772_CR13","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/TPAMI.2014.2345390","volume":"37","author":"JF Henriques","year":"2015","unstructured":"Henriques, J.F., Caseiro, R., Martins, P., Batista, J.: High-speed tracking with kernelized correlation filters[J]. IEEE Trans. Pattern Anal. Mach. Intell. 37(3), 583\u2013596 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1772_CR14","doi-asserted-by":"crossref","unstructured":"Danelljan, M., H\u00e4ger, G., Khan, F., et al.: Accurate scale estimation for robust visual tracking[C]. In: British Machine Vision Conference, Nottingham, September 1\u20135, BMVA Press (2014)","DOI":"10.5244\/C.28.65"},{"key":"1772_CR15","doi-asserted-by":"crossref","unstructured":"Danelljan, M., Hager, G., Shahbaz Khan, F., et al.: Learning spatially regularized correlation filters for visual tracking[C]. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 4310\u20134318 (2015)","DOI":"10.1109\/ICCV.2015.490"},{"issue":"1","key":"1772_CR16","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/s00371-016-1310-4","volume":"34","author":"H Zhang","year":"2018","unstructured":"Zhang, H., Liu, G.: Coupled-layer based visual tracking via adaptive kernelized correlation filters [J]. Vis. Comput. 34(1), 41\u201354 (2018)","journal-title":"Vis. Comput."},{"issue":"99","key":"1772_CR17","doi-asserted-by":"publisher","first-page":"2676","DOI":"10.1109\/TIP.2017.2781304","volume":"27","author":"T Zhang","year":"2018","unstructured":"Zhang, T., Liu, S., Xu, C., et al.: Correlation particle filter for visual tracking[J]. IEEE Trans. Image Process. 27(99), 2676\u20132687 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"1772_CR18","doi-asserted-by":"crossref","unstructured":"Valmadre, J., Bertinetto, L., Henriques, J., et al.: End-to-end representation learning for correlation filter based tracking[C]. In: Computer Vision and Pattern Recognition. IEEE, pp. 5000\u20135008 (2017)","DOI":"10.1109\/CVPR.2017.531"},{"key":"1772_CR19","doi-asserted-by":"crossref","unstructured":"Zhang, D., Zhang, Z., Zou, L., et al.: Part-based visual tracking with spatially regularized correlation filters[J]. Vis. Comput. 2019(4)","DOI":"10.1007\/s00371-019-01634-5"},{"key":"1772_CR20","doi-asserted-by":"crossref","unstructured":"Wu, Y., Lim, J., Yang, M.H.: Online object tracking: a benchmark[C]. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 2411\u20132418 (2013)","DOI":"10.1109\/CVPR.2013.312"},{"key":"1772_CR21","doi-asserted-by":"crossref","unstructured":"Wu, Y., Lim, J., Yang, M.-H.: Object tracking benchmark. In: PAMI (2015)","DOI":"10.1109\/TPAMI.2014.2388226"},{"key":"1772_CR22","unstructured":"Kristan, M., Pflugfelder, R., Leonardis, A., Matas, J.: The visual object tracking VOT2014 challenge results. In: Proceedings of European Conference on Computer Vision Workshop Visual Object Tracking Challenge, pp. 191\u2013217 (2014)"},{"key":"1772_CR23","unstructured":"Jia, X., Lu, H., Yang, M.-H.: Visual tracking via adaptive structural local sparse appearance model. In: Proceedings of IEEE Conference Computing"},{"key":"1772_CR24","doi-asserted-by":"crossref","unstructured":"Hare, S., Saffari, A., Torr, P.: Struck: structured output tracking with kernels. In: Proceedings of International Conference on Computing Vision, pp. 263\u2013270 (2011)","DOI":"10.1109\/ICCV.2011.6126251"},{"key":"1772_CR25","unstructured":"Babenko, B., Yang, M.-H., Belongie, S.: Visual tracking with online multiple instance learning. In: Proceedings of IEEE Conference Computing"},{"key":"1772_CR26","doi-asserted-by":"crossref","unstructured":"Kalal, Z., Matas, J., Mikolajczyk, K.: P-N learning: Bootstrapping binary classifiers by structural constraints. In: Proceedings of IEEE Conference Computing Vision Pattern Recognition, pp. 49\u201356 (2010)","DOI":"10.1109\/CVPR.2010.5540231"},{"key":"1772_CR27","unstructured":"Zhong, W., Lu, H., Yang, M.-H.: Robust object tracking via sparsity-based collaborative model. In: Proceedings of IEEE Conference Computing Vision Pattern Recognition, pp. 1838\u20131845 (2012)"},{"issue":"3","key":"1772_CR28","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/TPAMI.2014.2345390","volume":"37","author":"J Henriques","year":"2015","unstructured":"Henriques, J., Caseiro, R., Martins, P., Batista, J.: High-speed tracking with kernelized correlation filters. IEEE Trans. Pattern Anal. Mach. Intell. 37(3), 583\u2013596 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1772_CR29","doi-asserted-by":"crossref","unstructured":"Li, Y., Zhu, J.: A scale adaptive kernel correlation filter tracker with feature integration. In: Proceedings of European Conference on Computer Vision Workshop Visual Object Tracking Challenge, pp. 254\u2013265 (2014)","DOI":"10.1007\/978-3-319-16181-5_18"},{"issue":"8","key":"1772_CR30","doi-asserted-by":"publisher","first-page":"1561","DOI":"10.1109\/TPAMI.2016.2609928","volume":"39","author":"M Danelljan","year":"2017","unstructured":"Danelljan, M., Hager, G., Khan, F.S., et al.: Discriminative scale space tracking [J]. IEEE Trans. Pattern Anal. Mach. Intell. 39(8), 1561\u20131575 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1772_CR31","doi-asserted-by":"crossref","unstructured":"Danelljan, M., Khan, F.S., Felsberg, M., van de Weijer, J.: Adaptive color attributes for real-time visual tracking. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.143"},{"key":"1772_CR32","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection[C]. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE, pp. 886\u2013893 (2005)"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-019-01772-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00371-019-01772-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-019-01772-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:50:25Z","timestamp":1604191825000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00371-019-01772-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,2]]},"references-count":32,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["1772"],"URL":"https:\/\/doi.org\/10.1007\/s00371-019-01772-w","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,2]]},"assertion":[{"value":"2 November 2019","order":1,"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":"All authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}