{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T22:16:05Z","timestamp":1757628965636,"version":"3.44.0"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"29","license":[{"start":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T00:00:00Z","timestamp":1671408000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T00:00:00Z","timestamp":1671408000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-022-14294-w","type":"journal-article","created":{"date-parts":[[2022,12,18]],"date-time":"2022-12-18T22:09:44Z","timestamp":1671401384000},"page":"35191-35215","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Object Tracking with Channel Group Regularization and Smooth Constraints Using Improved Dynamic Convolution Kernels in ITS"],"prefix":"10.1007","volume":"84","author":[{"given":"Jinping","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,19]]},"reference":[{"key":"14294_CR1","doi-asserted-by":"crossref","unstructured":"Bertinetto L, Valmadre J, Golodetz S et al (2016) Staple: Complementary learners for real-time tracking[C]. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 1401\u20131409","DOI":"10.1109\/CVPR.2016.156"},{"key":"14294_CR2","doi-asserted-by":"crossref","unstructured":"Bhat G, Johnander J, Danelljan M et al (2018) Unveiling the power of deep tracking[C]. Proceedings of the European Conference on Computer Vision, 483\u2013498","DOI":"10.1007\/978-3-030-01216-8_30"},{"key":"14294_CR3","doi-asserted-by":"crossref","unstructured":"Chen Y, Dai X, Liu M et al (2020) Dynamic Convolution: Attention Over Convolution Kernels [C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 11030\u201311039","DOI":"10.1109\/CVPR42600.2020.01104"},{"issue":"3","key":"14294_CR4","first-page":"630","volume":"47","author":"SJ Chen","year":"2021","unstructured":"Chen SJ, Ye DY, Lin DW (2021) A Synthetic Target Tracking Algorithm Based on a New Color Distribution Model With Background Suppression[J]. Acta Automat Sin 47(3):630\u2013640","journal-title":"Acta Automat Sin"},{"key":"14294_CR5","doi-asserted-by":"crossref","unstructured":"Danelljan M, Khan FS, Felsberg M et al (2014) Adaptive color attributes for real-time visual tracking[C]. Conference on Computer Vision and Pattern Recognition(CVPR), 1090\u20131097","DOI":"10.1109\/CVPR.2014.143"},{"key":"14294_CR6","doi-asserted-by":"crossref","unstructured":"Danelljan M, H\u00e4ger G, Khan FS et al (2014) Accurate Scale Estimation for Robust Visual Tracking[C]. Proceedings of the British Machine Vision Conference, BMVA","DOI":"10.5244\/C.28.65"},{"key":"14294_CR7","doi-asserted-by":"crossref","unstructured":"Danelljan M, Hager G, Khan FS et al (2015) Learning spatially regularized correlation filters for visual tracking[C]. Proceedings of the IEEE International Conference on Computer Vision, 4310\u20134318","DOI":"10.1109\/ICCV.2015.490"},{"key":"14294_CR8","doi-asserted-by":"crossref","unstructured":"Danelljan M, Robinson A, Khan FS et al (2016) Beyond correlation filters: Learning continuous convolution operators for visual tracking[C]. European Conference on Computer Vision, 472\u2013488","DOI":"10.1007\/978-3-319-46454-1_29"},{"key":"14294_CR9","doi-asserted-by":"crossref","unstructured":"Danelljan M, Robinson A, Khan FS et al (2016) Beyond correlation filters: Learning continuous convolution operators for visual tracking[C]. European Conference on Computer Vision:472\u2013488","DOI":"10.1007\/978-3-319-46454-1_29"},{"key":"14294_CR10","doi-asserted-by":"crossref","unstructured":"Galoogahi HK, Sim T, Lucey S (2015) Correlation filters with limited boundaries[C]. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 4630\u20134638","DOI":"10.1109\/CVPR.2015.7299094"},{"key":"14294_CR11","doi-asserted-by":"crossref","unstructured":"Galoogahi HK, Fagg A, Lucey S (2017) Learning Background-Aware Correlation Filters for Visual Tracking[C]. IEEE International Conference on Computer Vision(ICCV), 1369\u20131378","DOI":"10.1109\/ICCV.2017.129"},{"issue":"3","key":"14294_CR12","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1561\/0100000006","volume":"2","author":"RM Gray","year":"2006","unstructured":"Gray RM (2006) Toeplitz and circulant matrices: A review[J]. Found Trends Commun Inf Theory 2(3):155\u2013239","journal-title":"Found Trends Commun Inf Theory"},{"key":"14294_CR13","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S et al (2016) Deep residual learning for image recognition[C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 770\u2013778","DOI":"10.1109\/CVPR.2016.90"},{"key":"14294_CR14","doi-asserted-by":"crossref","unstructured":"Henriques JF, Rui C, Caseiror Martins P et al (2012) Exploiting the circulant structure of tracking- by-detection with kernels[C]. 12th European Conference on Computer Vision(ECCV), 702\u2013715","DOI":"10.1007\/978-3-642-33765-9_50"},{"key":"14294_CR15","doi-asserted-by":"crossref","unstructured":"Henriques JF, Carreira J, Rui C, et al (2013) Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition[C]. IEEE International Conference on Computer Vision(ICCV), 2760\u20132767","DOI":"10.1109\/ICCV.2013.343"},{"issue":"3","key":"14294_CR16","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 et al (2015) High-speed tracking with kernelized correlation filters[J]. IEEE Trans Pattern Anal Mach Intell 37(3):583\u2013596","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"14294_CR17","unstructured":"Howard AG, Zhu M, Chen B et al (2017) Mobilenets: Efficient convolutional neural networks for mobile vision applications[J]. arXiv preprint arXiv:04861"},{"key":"14294_CR18","doi-asserted-by":"crossref","unstructured":"Howard A, Sandler M, Chu G et al (2019) Searching for mobilenetv3 [C]. Proceedings of the IEEE International Conference on Computer Vision, 1314\u20131324","DOI":"10.1109\/ICCV.2019.00140"},{"issue":"4","key":"14294_CR19","first-page":"634","volume":"30","author":"K Jun","year":"2018","unstructured":"Jun K, Jing C, Min J et al (2018) Robust Visual Tracking with Combined Norm Regularized Sparse Coding and Adaptive Weighted Residual[J]. J Comput Aided Des Comput Graph 30(4):634\u2013641","journal-title":"J Comput Aided Des Comput Graph"},{"issue":"7","key":"14294_CR20","doi-asserted-by":"publisher","first-page":"4389","DOI":"10.1007\/s11276-021-02664-5","volume":"27","author":"D Li","year":"2021","unstructured":"Li D, Bei LL, Bao JN et al (2021) Image contour detection based on improved level set in complex environment[J]. Wirel Netw 27(7):4389\u20134402","journal-title":"Wirel Netw"},{"key":"14294_CR21","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1155\/2022\/3887426","volume":"3887426","author":"D Li","year":"2022","unstructured":"Li D, Sun JP, Wang HD et al (2022) Research on Haze Image Enhancement based on Dark Channel Prior Algorithm in Machine Vision[J]. J Environ Public Health 3887426:12. https:\/\/doi.org\/10.1155\/2022\/3887426","journal-title":"J Environ Public Health"},{"key":"14294_CR22","doi-asserted-by":"crossref","unstructured":"Lukezic A, Vojir T, Cehovin ZL et al (2017) Discriminative correlation filter with channel and spatial reliability[C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 6309\u20136318","DOI":"10.1109\/CVPR.2017.515"},{"key":"14294_CR23","doi-asserted-by":"crossref","unstructured":"Lukezic A, Vojir T, Cehovin ZL et al (2017) Discriminative correlation filter with channel and spatial reliability[C]. EEE Conference on Computer Vision and Pattern Recognition(CVPR), 6309\u20136318","DOI":"10.1109\/CVPR.2017.515"},{"issue":"7","key":"14294_CR24","first-page":"1244","volume":"45","author":"L Meng","year":"2019","unstructured":"Meng L, Yang X (2019) A Survey of Object Tracking Algorithms[J]. Acta Automat Sin 45(7):1244\u20131260","journal-title":"Acta Automat Sin"},{"issue":"3","key":"14294_CR25","first-page":"459","volume":"29","author":"LD Qiu","year":"2017","unstructured":"Qiu LD, Liu TJ, Fu P (2017) Target Tracking Based on Deep Sparse Filtering[J]. J Comput Aided Des Comput Graph 29(3):459\u2013468","journal-title":"J Comput Aided Des Comput Graph"},{"issue":"3","key":"14294_CR26","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky O, Deng J, Su H et al (2015) Imagenet large scale visual recognition challenge[J]. Int J Comput Vis 115(3):211\u2013252","journal-title":"Int J Comput Vis"},{"key":"14294_CR27","doi-asserted-by":"crossref","unstructured":"Sandler M, Howard A, Zhu M et al (2018) Mobilenetv2: Inverted residuals and linear bottlenecks [C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 4510\u20134520","DOI":"10.1109\/CVPR.2018.00474"},{"key":"14294_CR28","unstructured":"Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition[J]. arXiv preprint arXiv:1409.1556"},{"key":"14294_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2021\/6690237","volume":"2021","author":"JP Sun","year":"2021","unstructured":"Sun JP (2021) Improved Hierarchical Convolutional Features for Robust Visual Object Tracking[J]. Complexity 2021:1\u201316. https:\/\/doi.org\/10.1155\/2021\/6690237","journal-title":"Complexity"},{"key":"14294_CR30","doi-asserted-by":"publisher","first-page":"208179","DOI":"10.1109\/ACCESS.2020.3038792","volume":"8","author":"JP Sun","year":"2020","unstructured":"Sun JP, Ding EJ, Sun B et al (2020) Adaptive Kernel Correlation Filter Tracking Algorithm in Complex Scenes[J]. IEEE Access 8:208179\u2013208194","journal-title":"IEEE Access"},{"issue":"6","key":"14294_CR31","doi-asserted-by":"publisher","first-page":"646","DOI":"10.6036\/9844","volume":"95","author":"JP Sun","year":"2020","unstructured":"Sun JP, Ding EJ, Sun B et al (2020) Image salient object detection algorithm based on adaptive multi-feature template[J]. DYNA 95(6):646\u2013653","journal-title":"DYNA"},{"issue":"11","key":"14294_CR32","first-page":"2479","volume":"34","author":"D Tian","year":"2019","unstructured":"Tian D, Zhang GS, Xie Yi H (2019) Object tracking via low-rank and structural sparse representation with fused penalty constraint[J]. Control and Decision 34(11):2479\u20132484","journal-title":"Control and Decision"},{"key":"14294_CR33","doi-asserted-by":"crossref","unstructured":"Voigtlaender P, Luiten J, Torr PHS (2020) Siam R-CNN: visual tracking by re-detection[C]. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 6577\u20136587","DOI":"10.1109\/CVPR42600.2020.00661"},{"key":"14294_CR34","doi-asserted-by":"crossref","unstructured":"Wu Y, Lim J, Yang MH (2013) Online object tracking: A benchmark[C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2411\u20132418","DOI":"10.1109\/CVPR.2013.312"},{"issue":"9","key":"14294_CR35","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 MH (2015) Object tracking benchmark[J]. IEEE Trans Pattern Anal Mach Intell 37(9):1834\u20131848","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"14294_CR36","unstructured":"Xu TY (2019) Research on correlation filter based visual object tracking[D]. Wuxi: Jiangnan University"},{"key":"14294_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105526","volume":"194","author":"D Yuan","year":"2020","unstructured":"Yuan D, Fan N, He Z (2020) Learning target-focusing convolutional regression model for visual object tracking[J]. Knowl-Based Syst 194:105526","journal-title":"Knowl-Based Syst"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-14294-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-022-14294-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-14294-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T11:28:20Z","timestamp":1757503700000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-022-14294-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,19]]},"references-count":37,"journal-issue":{"issue":"29","published-online":{"date-parts":[[2025,9]]}},"alternative-id":["14294"],"URL":"https:\/\/doi.org\/10.1007\/s11042-022-14294-w","relation":{},"ISSN":["1573-7721"],"issn-type":[{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2022,12,19]]},"assertion":[{"value":"18 August 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 November 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 December 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 December 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no conflicts of interest to declare.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}