{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T03:32:41Z","timestamp":1782358361143,"version":"3.54.5"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,11,12]],"date-time":"2021-11-12T00:00:00Z","timestamp":1636675200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,11,12]],"date-time":"2021-11-12T00:00:00Z","timestamp":1636675200000},"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":["11961010"],"award-info":[{"award-number":["11961010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61661017"],"award-info":[{"award-number":["61661017"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61967005"],"award-info":[{"award-number":["61967005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61362021"],"award-info":[{"award-number":["61362021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"Guangxi Natural Science Foundation","doi-asserted-by":"crossref","award":["2018GXNSFAA138169,2017GXNSFBA198212"],"award-info":[{"award-number":["2018GXNSFAA138169,2017GXNSFBA198212"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Guangxi Colleges and Universities Key Laboratory project of Data Analysis and Computation","award":["LDAC201704"],"award-info":[{"award-number":["LDAC201704"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1007\/s11760-021-02054-6","type":"journal-article","created":{"date-parts":[[2021,11,12]],"date-time":"2021-11-12T18:02:35Z","timestamp":1636740155000},"page":"1053-1060","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Background subtraction based on tensor nuclear and $$L_{1,1,2}$$ norm"],"prefix":"10.1007","volume":"16","author":[{"given":"Lixia","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Ban","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuewen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,11,12]]},"reference":[{"key":"2054_CR1","doi-asserted-by":"publisher","first-page":"2682","DOI":"10.1109\/TIP.2021.3055063","volume":"30","author":"Z Xue","year":"2020","unstructured":"Xue, Z., Yuan, X., Yang, Y.: Denoising-based turbo message passing for compressed video background subtraction. IEEE Trans. Image Process. 30, 2682\u20132696 (2020)","journal-title":"IEEE Trans. Image Process."},{"issue":"5","key":"2054_CR2","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.1007\/s11760-019-01633-y","volume":"14","author":"N Kumar","year":"2020","unstructured":"Kumar, N., Sukavanam, N.: A weakly supervised CNN model for spatial localization of human activities in unconstraint environment. Signal Image Video Process. 14(5), 1009\u20131016 (2020)","journal-title":"Signal Image Video Process."},{"key":"2054_CR3","unstructured":"Stauffer, C., Grimson, W.E.L.: Adaptive background mixturemodels for real-time tracking. In: Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), vol. 2, pp. 246C252 (1999)"},{"issue":"2","key":"2054_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2674559","volume":"47","author":"X Zhou","year":"2015","unstructured":"Zhou, X., Yang, C., Zhao, H., et al.: Low-rank modeling and its applications in image analysis. ACM Comput. Surv. 47(2), 1\u201333 (2015)","journal-title":"ACM Comput. Surv."},{"issue":"122","key":"2054_CR5","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.cviu.2013.11.009","volume":"122","author":"T Bouwmans","year":"2014","unstructured":"Bouwmans, T., Zahzah, E.: Robust pca via principal component pursuit: a review for a comparative evaluation in video surveillance. Comput. Vis. Image Underst. 122(122), 22\u201334 (2014)","journal-title":"Comput. Vis. Image Underst."},{"key":"2054_CR6","doi-asserted-by":"crossref","unstructured":"Luo, Q., Han, Z., Chen, X., et al.: Tensor rpca by bayesian cp factorization with complex noise. In: Proceedings of 2017 IEEE International Conference on Computer Vision (ICCV), pp. 5029\u20135038 (2017)","DOI":"10.1109\/ICCV.2017.537"},{"issue":"1","key":"2054_CR7","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1137\/130905010","volume":"35","author":"D Goldfarb","year":"2014","unstructured":"Goldfarb, D., Qin, Z.: Models and algorithms. SIAM J. Matrix Anal. Appl. 35(1), 225\u2013253 (2014)","journal-title":"SIAM J. Matrix Anal. Appl."},{"key":"2054_CR8","doi-asserted-by":"crossref","unstructured":"Rezaei, B., Ostadabbas, S.: Background subtraction via fast robust matrix completion. In: Proceedings of 2017 IEEE International Conference on Computer Vision (ICCV), pp. 1871\u20131879 (2017)","DOI":"10.1109\/ICCVW.2017.221"},{"issue":"9","key":"2054_CR9","doi-asserted-by":"publisher","first-page":"4075","DOI":"10.1109\/TIP.2016.2579262","volume":"25","author":"W Cao","year":"2016","unstructured":"Cao, W., Wang, Y., Sun, J., et al.: Total variation regularized tensor RPCA for background subtraction from compressive measurements. IEEE Trans. Image Process. 25(9), 4075\u20134090 (2016)","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"2054_CR10","doi-asserted-by":"publisher","first-page":"1888","DOI":"10.1109\/TPAMI.2017.2734888","volume":"40","author":"Q Xie","year":"2018","unstructured":"Xie, Q., Zhao, Q., Meng, D., et al.: Kronecker-basis-representation based tensor sparsity and its applications to tensor recovery. IEEE Trans. Pattern Anal. Mach. Intell. 40(8), 1888\u20131902 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6","key":"2054_CR11","doi-asserted-by":"publisher","first-page":"1378","DOI":"10.1109\/JSTSP.2018.2873142","volume":"12","author":"Y Liu","year":"2018","unstructured":"Liu, Y., Chen, L., Zhu, C., et al.: Improved robust tensor principal component analysis via low-rank core matrix. IEEE J. Select. Top. Signal Process. 12(6), 1378\u20131389 (2018)","journal-title":"IEEE J. Select. Top. Signal Process."},{"issue":"2","key":"2054_CR12","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1109\/TPAMI.2019.2891760","volume":"42","author":"C Lu","year":"2020","unstructured":"Lu, C., Feng, J., Chen, W., et al.: Tensor robust principal component analysis with a new tensor nuclear norm. IEEE Trans. Pattern Anal. Mach. Intell. 42(2), 925\u2013938 (2020)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2054_CR13","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.ins.2019.06.061","volume":"503","author":"J Xue","year":"2019","unstructured":"Xue, J., Zhao, Y., Liao, W., et al.: Nonconvex tensor rank minimization and its applications to tensor recovery. Inform. Sci. 503, 109\u2013128 (2019)","journal-title":"Inform. Sci."},{"issue":"3","key":"2054_CR14","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1007\/s11760-020-01766-5","volume":"15","author":"H Ahn","year":"2020","unstructured":"Ahn, H., Kang, M.: Dynamic background subtraction with masked RPCA. Signal Image Video Process. 15(3), 467\u2013474 (2020)","journal-title":"Signal Image Video Process."},{"issue":"1","key":"2054_CR15","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1111\/j.1467-9868.2005.00532.x","volume":"68","author":"M Yuan","year":"2006","unstructured":"Yuan, M., Lin, Y.: Model selection and estimation in regression with grouped variables. J. R. Stat. Soc. Ser. B Stat. Methodol. 68(1), 49\u201367 (2006)","journal-title":"J. R. Stat. Soc. Ser. B Stat. Methodol."},{"issue":"4","key":"2054_CR16","first-page":"1014","volume":"46","author":"X Cao","year":"2016","unstructured":"Cao, X., Yang, L., Guo, X., et al.: Total variation regularized RPCA for irregularly moving object detection under dynamic background. IEEE Trans. Syst. Man Cybern. 46(4), 1014\u20131027 (2016)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"2054_CR17","doi-asserted-by":"crossref","unstructured":"Tom, A.J., George, S.N.: Tensor total variation regularized moving object detection for surveillance videos. In: Proceedings of 2018 International Conference on Signal Processing and Communications (SPCOM), pp. 327\u2013331 (2018)","DOI":"10.1109\/SPCOM.2018.8724459"},{"key":"2054_CR18","doi-asserted-by":"crossref","unstructured":"Wei, Y., Liu, Y., Jia, L., et al.: Foreground extraction via the tensor-based RPCA with non-convex fused sparsity. In: Proceedings of 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), pp. 624\u2013630 (2018)","DOI":"10.1109\/FSKD.2018.8686893"},{"issue":"5","key":"2054_CR19","doi-asserted-by":"publisher","first-page":"2919","DOI":"10.1109\/TGRS.2017.2786718","volume":"56","author":"Y Xu","year":"2018","unstructured":"Xu, Y., Wu, Z., Chanussot, J., et al.: Joint reconstruction and anomaly detection from compressive hyperspectral images using mahalanobis distance-regularized tensor RPCA. IEEE Trans. Geosci. Remote Sens. 56(5), 2919\u20132930 (2018)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"2054_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Ely, G., Aeron, S., et al.: Novel methods for multilinear data completion and de-noising based on tensor-SVD. In: Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp. 3842\u20133849 (2014)","DOI":"10.1109\/CVPR.2014.485"},{"issue":"1","key":"2054_CR21","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/s10915-018-0757-z","volume":"78","author":"Y Wang","year":"2019","unstructured":"Wang, Y., Yin, W., Zeng, J.: Global convergence of ADMM in nonconvex nonsmooth optimization. J. Sci. Comput. 78(1), 29\u201363 (2019)","journal-title":"J. Sci. Comput."},{"issue":"3","key":"2054_CR22","first-page":"1","volume":"58","author":"N Shahid","year":"2011","unstructured":"Shahid, N., Kalofolias, V., Bresson, X., et al.: Robust principal component analysis? J. ACM (JACM) 58(3), 1\u201339 (2011)","journal-title":"J. ACM (JACM)"},{"issue":"11","key":"2054_CR23","doi-asserted-by":"publisher","first-page":"1459","DOI":"10.1109\/TIP.2004.836169","volume":"13","author":"L Li","year":"2004","unstructured":"Li, L., Huang, W., Gu, I.Y., et al.: Statistical modeling of complex backgrounds for foreground object detection. IEEE Trans. Image Process. 13(11), 1459\u20131472 (2004)","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"2054_CR24","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1109\/TPAMI.2009.112","volume":"32","author":"V Mahadevan","year":"2010","unstructured":"Mahadevan, V., Vasconcelos, N.: Spatiotemporal saliency in dynamic scenes. IEEE Trans. Pattern Anal. Mach. Intell. 32(1), 171\u2013177 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2054_CR25","doi-asserted-by":"crossref","unstructured":"Wang, Y., Jodoin, P., Porikli, F., et al.: CDNET 2014: An expanded change detection benchmark dataset. In: Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 393\u2013400 (2014)","DOI":"10.1109\/CVPRW.2014.126"},{"issue":"6","key":"2054_CR26","first-page":"1777","volume":"37","author":"Z Liu","year":"2017","unstructured":"Liu, Z., He, S., Hu, W., et al.: Moving object detection based on background subtraction for video sequence. J. Comput. Appl. 37(6), 1777\u20131781 (2017)","journal-title":"J. Comput. Appl."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-021-02054-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-021-02054-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-021-02054-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,16]],"date-time":"2022-04-16T14:14:50Z","timestamp":1650118490000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-021-02054-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,12]]},"references-count":26,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["2054"],"URL":"https:\/\/doi.org\/10.1007\/s11760-021-02054-6","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,12]]},"assertion":[{"value":"12 September 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 August 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 October 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 November 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}