{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T19:10:08Z","timestamp":1751915408137,"version":"3.41.2"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030007751"},{"type":"electronic","value":"9783030007768"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-00776-8_75","type":"book-chapter","created":{"date-parts":[[2018,9,18]],"date-time":"2018-09-18T08:14:58Z","timestamp":1537258498000},"page":"819-829","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multispectral Foreground Detection via Robust Cross-Modal Low-Rank Decomposition"],"prefix":"10.1007","author":[{"given":"Aihua","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Yumiao","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Chenglong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jin","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Luo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,19]]},"reference":[{"key":"75_CR1","doi-asserted-by":"publisher","first-page":"1709","DOI":"10.1109\/TIP.2010.2101613","volume":"20","author":"O Barnich","year":"2011","unstructured":"Barnich, O., Droogenbroeck, M.V.: ViBe: a universal background subtraction algorithm for video sequences. IEEE Trans. Image Process. 20, 1709\u20131724 (2011)","journal-title":"IEEE Trans. Image Process."},{"key":"75_CR2","doi-asserted-by":"publisher","first-page":"1222","DOI":"10.1109\/34.969114","volume":"23","author":"Y Boykov","year":"2001","unstructured":"Boykov, Y., Veksler, O., Zabih, R.: Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal. Mach. Intell. 23, 1222\u20131239 (2001)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"75_CR3","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1145\/1970392.1970395","volume":"58","author":"E Candes","year":"2011","unstructured":"Candes, E., Li, X., Ma, Y., Wright, J.: Robust principal component analysis? J. ACM 58, 175\u2013181 (2011)","journal-title":"J. ACM"},{"key":"75_CR4","unstructured":"Chen, Y., Wang, J., Zhu, B., Tang, M., Lu, H.: Pixel-wise deep sequence learning for moving object detection. IEEE Trans. Circuits Syst. Video Technol., 1 (2017)"},{"key":"75_CR5","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.patrec.2013.11.017","volume":"44","author":"SH Cho","year":"2014","unstructured":"Cho, S.H., Kang, H.B.: Abnormal behavior detection using hybrid agents in crowded scenes. Pattern Recogn. Lett. 44, 64\u201370 (2014)","journal-title":"Pattern Recogn. Lett."},{"key":"75_CR6","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/j.cviu.2006.06.010","volume":"106","author":"J Davis","year":"2007","unstructured":"Davis, J., Sharma, V.: Background-subtraction using contour-based fusion of thermal and visible imagery. Comput. Vis. Image Underst. 106, 162\u2013182 (2007)","journal-title":"Comput. Vis. Image Underst."},{"key":"75_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1007\/978-3-319-10584-0_35","volume-title":"Computer Vision \u2013 ECCV 2014","author":"X Guo","year":"2014","unstructured":"Guo, X., Wang, X., Yang, L., Cao, X., Ma, Y.: Robust foreground detection using smoothness and arbitrariness constraints. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8695, pp. 535\u2013550. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10584-0_35"},{"key":"75_CR8","first-page":"987","volume":"8","author":"G Han","year":"2013","unstructured":"Han, G., Cai, X., Wang, J.: Object detection based on combination of visible and thermal videos using a joint sample consensus background model. J. Softw. 8, 987\u2013994 (2013)","journal-title":"J. Softw."},{"key":"75_CR9","doi-asserted-by":"publisher","first-page":"1771","DOI":"10.1016\/j.patcog.2006.11.010","volume":"40","author":"J Han","year":"2007","unstructured":"Han, J., Bhanu, B.: Fusion of color and infrared video for moving human detection. Pattern Recogn. 40, 1771\u20131784 (2007)","journal-title":"Pattern Recogn."},{"key":"75_CR10","doi-asserted-by":"publisher","first-page":"5814","DOI":"10.1109\/TIP.2016.2614132","volume":"25","author":"R Hong","year":"2016","unstructured":"Hong, R., Hu, Z., Wang, R., Wang, M., Tao, D.: Multi-view object retrieval via multi-scale topic models. IEEE Trans. Image Process. 25, 5814\u20135827 (2016)","journal-title":"IEEE Trans. Image Process."},{"key":"75_CR11","doi-asserted-by":"publisher","first-page":"1555","DOI":"10.1109\/TMM.2016.2567071","volume":"18","author":"R Hong","year":"2016","unstructured":"Hong, R., Zhang, L., Zhang, C., Zimmermann, R.: Flickr circles: aesthetic tendency discovery by multi-view regularized topic modeling. IEEE Trans. Multimedia 18, 1555\u20131567 (2016)","journal-title":"IEEE Trans. Multimedia"},{"key":"75_CR12","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1109\/TPAMI.2004.1262177","volume":"2","author":"V Kolmogorov","year":"2004","unstructured":"Kolmogorov, V., Zabin, R.: What energy functions can be minimized via graph cuts? IEEE Trans. Pattern Anal. Mach. Intell. 2, 147\u2013159 (2004)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"75_CR13","doi-asserted-by":"publisher","first-page":"1947","DOI":"10.1109\/TIP.2016.2537211","volume":"25","author":"C Li","year":"2016","unstructured":"Li, C., Lin, L., Zuo, W., Wang, W., Tang, J.: An approach to streaming video segmentation with sub-optimal low-rank decomposition. IEEE Trans. Image Process. 25, 1947\u20131960 (2016)","journal-title":"IEEE Trans. Image Process."},{"key":"75_CR14","first-page":"725","volume":"27","author":"C Li","year":"2017","unstructured":"Li, C., Wang, X., Zhang, L., Tang, J., Wu, H., Lin, L.: Weighted low-rank decomposition for robust grayscale-thermal foreground detection. IEEE Trans. Circuits Syst. Video Technol. 27, 725\u2013738 (2017)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"75_CR15","doi-asserted-by":"crossref","unstructured":"Li, C., Wu, X., Bao, Z., Tang, J.: ReGLe: spatially regularized graph learning for visual tracking. In: ACM, pp. 252\u2013260 (2017)","DOI":"10.1145\/3123266.3123288"},{"key":"75_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84800-279-1","volume-title":"Markov Random Field Modeling in Image Analysis","author":"SZ Li","year":"2009","unstructured":"Li, S.Z.: Markov Random Field Modeling in Image Analysis. Springer, London (2009). https:\/\/doi.org\/10.1007\/978-1-84800-279-1"},{"key":"75_CR17","doi-asserted-by":"crossref","unstructured":"Lim, L.A., Keles, H.Y.: Foreground segmentation using a triplet convolutional neural network for multiscale feature encoding. arXiv preprint arXiv:1801.02225 (2018)","DOI":"10.1016\/j.patrec.2018.08.002"},{"key":"75_CR18","doi-asserted-by":"publisher","first-page":"1168","DOI":"10.1109\/TIP.2008.924285","volume":"17","author":"M Lucia","year":"2008","unstructured":"Lucia, M., Alfredo, P.: A self-organizing approach to background subtraction for visual surveillance applications. IEEE Trans. Image Process. 17, 1168\u20131177 (2008)","journal-title":"IEEE Trans. Image Process."},{"key":"75_CR19","first-page":"2287","volume":"11","author":"R Mazumder","year":"2010","unstructured":"Mazumder, R., Hastie, T., Tibshirani, R.: Spectral regularization algorithms for learning large incomplete matrices. J. Mach. Learn. Res. 11, 2287\u20132322 (2010)","journal-title":"J. Mach. Learn. Res."},{"key":"75_CR20","doi-asserted-by":"crossref","unstructured":"Narayana, M., Hanson, A., Learned-miller, E.: Background modeling using adaptive pixelwise kernel variances in a hybrid feature space. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2012)","DOI":"10.1109\/CVPR.2012.6247916"},{"key":"75_CR21","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1109\/TPAMI.2012.97","volume":"35","author":"O Oreifej","year":"2013","unstructured":"Oreifej, O., Li, X., Shah, M.: Simultaneous video stabilization and moving object detection in turbulence. IEEE Trans. Pattern Anal. Mach. Intell. 35, 450\u2013462 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"75_CR22","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1137\/070697835","volume":"52","author":"B Recht","year":"2010","unstructured":"Recht, B., Fazel, M., Parrilo, P.A.: Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization. SIAM Rev. 52, 471\u2013501 (2010)","journal-title":"SIAM Rev."},{"key":"75_CR23","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1109\/TIP.2014.2378053","volume":"24","author":"PL St-Charles","year":"2014","unstructured":"St-Charles, P.L., Bilodeau, G.A., Bergevin, R.: Subsense: a universal change detection method with local adaptive sensitivity. IEEE Trans. Image Process. 24, 359\u2013373 (2014)","journal-title":"IEEE Trans. Image Process."},{"key":"75_CR24","doi-asserted-by":"crossref","unstructured":"Stauffer, C., Grimson, W.E.L.: Adaptive background mixture models for real-time tracking. In: 1999 Proceedings of the IEEE International Conference on Computer Vision, pp. 246\u2013252 (1999)","DOI":"10.1109\/CVPR.1999.784637"},{"key":"75_CR25","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.patrec.2012.07.005","volume":"34","author":"X Wang","year":"2013","unstructured":"Wang, X.: Intelligent multi-camera video surveillance: a review. Pattern Recogn. Lett. 34, 3\u201319 (2013)","journal-title":"Pattern Recogn. Lett."},{"key":"75_CR26","doi-asserted-by":"crossref","unstructured":"Xin, B., Tian, Y., Wang, Y., Gao, W.: Background subtraction via generalized fused lasso foreground modeling. arXiv preprint, pp. 4676\u20134684 (2015)","DOI":"10.1109\/CVPR.2015.7299099"},{"key":"75_CR27","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1007\/978-981-10-7305-2_5","volume-title":"Computer Vision","author":"M Xu","year":"2017","unstructured":"Xu, M., Li, C., Shi, H., Tang, J., Zheng, A.: Moving object detection via integrating spatial compactness and appearance consistency in the low-rank representation. In: Yang, J., et al. (eds.) CCCV 2017. CCIS, vol. 773, pp. 50\u201360. Springer, Singapore (2017). https:\/\/doi.org\/10.1007\/978-981-10-7305-2_5"},{"key":"75_CR28","doi-asserted-by":"crossref","unstructured":"Yang, S., Luo, B., Li, C., Wang, G., Tang, J.: Fast grayscale-thermal foreground detection with collaborative low-rank decomposition. IEEE Trans. Circuits Syst. Video Technol., 1 (2017)","DOI":"10.1109\/TCSVT.2017.2721460"},{"key":"75_CR29","doi-asserted-by":"publisher","first-page":"1721","DOI":"10.1109\/TCSVT.2015.2392491","volume":"25","author":"X Ye","year":"2015","unstructured":"Ye, X., Yang, J., Sun, X., Li, K., Hou, C., Wang, Y.: Foreground-background separation from video clips via motion-assisted matrix restoration. IEEE Trans. Circuits Syst. Video Technol. 25, 1721\u20131734 (2015)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"75_CR30","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"887","DOI":"10.1007\/11881599_110","volume-title":"Fuzzy Systems and Knowledge Discovery","author":"H Zhang","year":"2006","unstructured":"Zhang, H., Xu, D.: Fusing color and texture features for background model. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds.) FSKD 2006. LNCS (LNAI), vol. 4223, pp. 887\u2013893. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11881599_110"},{"key":"75_CR31","doi-asserted-by":"crossref","unstructured":"Zhao, B., Li, Z., Liu, M., Cao, W., Liu, H.: Infrared and visible imagery fusion based on region saliency detection for 24-hours-surveillance systems. In: Proceeding of the IEEE International Conference on Robotics and Biomimetics (2013)","DOI":"10.1109\/ROBIO.2013.6739608"},{"key":"75_CR32","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1109\/TPAMI.2012.132","volume":"35","author":"X Zhou","year":"2013","unstructured":"Zhou, X., Yang, C., Yu, W.: Moving object detection by detecting contiguous outliers in the low-rank representation. IEEE Trans. Pattern Anal. Mach. Intell. 35, 597\u2013610 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Advances in Multimedia Information Processing \u2013 PCM 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00776-8_75","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T18:34:20Z","timestamp":1751913260000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00776-8_75"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030007751","9783030007768"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00776-8_75","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"19 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PCM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim Conference on Multimedia","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hefei","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pcm2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/pcm2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}