{"id":"https://openalex.org/W3213675499","doi":"https://doi.org/10.1007/s11760-021-02054-6","title":"Background subtraction based on tensor nuclear and $$L_{1,1,2}$$ norm","display_name":"Background subtraction based on tensor nuclear and $$L_{1,1,2}$$ norm","publication_year":2021,"publication_date":"2021-11-12","ids":{"openalex":"https://openalex.org/W3213675499","doi":"https://doi.org/10.1007/s11760-021-02054-6","mag":"3213675499"},"language":"en","primary_location":{"id":"doi:10.1007/s11760-021-02054-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11760-021-02054-6","pdf_url":null,"source":{"id":"https://openalex.org/S156904493","display_name":"Signal Image and Video Processing","issn_l":"1863-1703","issn":["1863-1703","1863-1711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal, Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088217619","display_name":"Lixia Chen","orcid":"https://orcid.org/0000-0001-9701-0552"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lixia Chen","raw_affiliation_strings":["School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035183101","display_name":"Ying Ban","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Ban","raw_affiliation_strings":["School of Architecture, Ranching Institute of Technology, Sanhe, Heibei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Architecture, Ranching Institute of Technology, Sanhe, Heibei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100768571","display_name":"Xuewen Wang","orcid":"https://orcid.org/0000-0002-2683-6709"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewen Wang","raw_affiliation_strings":["School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5088217619"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.0904,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.40333736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"16","issue":"4","first_page":"1053","last_page":"1060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.8712549805641174},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.8013346791267395},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.7537130117416382},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7226715087890625},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5953330993652344},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.5628960132598877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5608049631118774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5471500158309937},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5442711114883423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5180661678314209},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.5099447965621948},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.49956631660461426},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3967401683330536},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.391224205493927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35385721921920776},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.19940844178199768},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11681866645812988},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.09939360618591309},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.08226558566093445}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.8712549805641174},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.8013346791267395},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.7537130117416382},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7226715087890625},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5953330993652344},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.5628960132598877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5608049631118774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5471500158309937},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5442711114883423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5180661678314209},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.5099447965621948},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.49956631660461426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3967401683330536},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.391224205493927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35385721921920776},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.19940844178199768},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11681866645812988},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09939360618591309},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.08226558566093445},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11760-021-02054-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11760-021-02054-6","pdf_url":null,"source":{"id":"https://openalex.org/S156904493","display_name":"Signal Image and Video Processing","issn_l":"1863-1703","issn":["1863-1703","1863-1711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal, Image and Video Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1575470870","display_name":"\u57fa\u4e8e\u975e\u8d1f\u77e9\u9635\u5206\u89e3\u7684\u56fe\u50cf\u805a\u7c7b\u7b97\u6cd5\u7814\u7a76","funder_award_id":"11961010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G249283086","display_name":"\u5c42\u6b21\u7a00\u758f\u8ba4\u77e5\u6846\u67b6\u4e0b\u7684\u538b\u7f29\u611f\u77e5\u65b9\u6cd5\u7814\u7a76\u4e0e\u5e94\u7528","funder_award_id":"61661017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2842010454","display_name":"\u81ea\u9002\u5e94\u5b57\u5178\u5b66\u4e60\u548c\u975e\u5c40\u90e8\u6b63\u5219\u5316\u7684\u56fe\u50cf\u7a00\u758f\u6062\u590d\u5efa\u6a21\u4e0e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61362021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4173590241","display_name":null,"funder_award_id":"2018GXNSFAA138169,2017GXNSFBA198212","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G6111737388","display_name":null,"funder_award_id":"61967005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1999136078","https://openalex.org/W2021836772","https://openalex.org/W2030927653","https://openalex.org/W2045377163","https://openalex.org/W2091741383","https://openalex.org/W2102625004","https://openalex.org/W2109268594","https://openalex.org/W2138019504","https://openalex.org/W2145962650","https://openalex.org/W2150489380","https://openalex.org/W2164720308","https://openalex.org/W2414168010","https://openalex.org/W2743606449","https://openalex.org/W2775988062","https://openalex.org/W2791928749","https://openalex.org/W2903854819","https://openalex.org/W2906988372","https://openalex.org/W2939848498","https://openalex.org/W2947176819","https://openalex.org/W2954868192","https://openalex.org/W2962853966","https://openalex.org/W2963885538","https://openalex.org/W2964105765","https://openalex.org/W3003536198","https://openalex.org/W3081141663","https://openalex.org/W3098655664","https://openalex.org/W3112216149","https://openalex.org/W3127330152","https://openalex.org/W4256052366","https://openalex.org/W4300179783"],"related_works":["https://openalex.org/W4316660202","https://openalex.org/W2105103921","https://openalex.org/W2028059897","https://openalex.org/W2086414697","https://openalex.org/W2953123162","https://openalex.org/W2188430267","https://openalex.org/W3213675499","https://openalex.org/W2563063097","https://openalex.org/W3160041341","https://openalex.org/W4250630666"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
