{"id":"https://openalex.org/W2970580464","doi":"https://doi.org/10.1109/tetci.2019.2935747","title":"Outlier-Robust Moving Object and Background Decomposition via Structured ${\\ell }_p$-Regularized Low-Rank Representation","display_name":"Outlier-Robust Moving Object and Background Decomposition via Structured ${\\ell }_p$-Regularized Low-Rank Representation","publication_year":2019,"publication_date":"2019-08-30","ids":{"openalex":"https://openalex.org/W2970580464","doi":"https://doi.org/10.1109/tetci.2019.2935747","mag":"2970580464"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2019.2935747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2019.2935747","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","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/A5100746862","display_name":"Lin Chen","orcid":"https://orcid.org/0000-0001-5144-7855"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Chen","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5144-7855","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074129836","display_name":"Xue Jiang","orcid":"https://orcid.org/0000-0001-7099-6817"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Jiang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7099-6817","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061319150","display_name":"Xingzhao Liu","orcid":"https://orcid.org/0000-0002-4533-3904"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingzhao Liu","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4533-3904","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112276731","display_name":"Thiagalingam Kirubarajan","orcid":null},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Thiagalingam Kirubarajan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101854736","display_name":"Zhixin Zhou","orcid":"https://orcid.org/0000-0003-3737-9248"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixin Zhou","raw_affiliation_strings":["Space Engineering University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0554,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86431821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"5","issue":"4","first_page":"620","last_page":"638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5908100605010986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5274211168289185},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.504489541053772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4848278760910034},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4777930676937103},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.44734901189804077},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.376737117767334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3080219328403473},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.257168710231781},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1670139729976654}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5908100605010986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5274211168289185},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.504489541053772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4848278760910034},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4777930676937103},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.44734901189804077},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.376737117767334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3080219328403473},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.257168710231781},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1670139729976654}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2019.2935747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2019.2935747","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G562395028","display_name":null,"funder_award_id":"61601284","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W86299341","https://openalex.org/W1482071412","https://openalex.org/W1736339626","https://openalex.org/W1960877884","https://openalex.org/W1969698720","https://openalex.org/W1994040806","https://openalex.org/W2000157792","https://openalex.org/W2010925189","https://openalex.org/W2013980527","https://openalex.org/W2021836772","https://openalex.org/W2036828200","https://openalex.org/W2049832806","https://openalex.org/W2056177645","https://openalex.org/W2059283452","https://openalex.org/W2059639989","https://openalex.org/W2060204507","https://openalex.org/W2062403535","https://openalex.org/W2083138589","https://openalex.org/W2091449379","https://openalex.org/W2096642693","https://openalex.org/W2103972604","https://openalex.org/W2106568288","https://openalex.org/W2110531331","https://openalex.org/W2111861511","https://openalex.org/W2118246710","https://openalex.org/W2118550318","https://openalex.org/W2122712590","https://openalex.org/W2124584309","https://openalex.org/W2125655865","https://openalex.org/W2126607811","https://openalex.org/W2131628350","https://openalex.org/W2134332047","https://openalex.org/W2138019504","https://openalex.org/W2140638323","https://openalex.org/W2142652110","https://openalex.org/W2144730813","https://openalex.org/W2145962650","https://openalex.org/W2164278908","https://openalex.org/W2165155912","https://openalex.org/W2167101305","https://openalex.org/W2169232245","https://openalex.org/W2171998198","https://openalex.org/W2233138502","https://openalex.org/W2237316891","https://openalex.org/W2293413438","https://openalex.org/W2299738717","https://openalex.org/W2339666411","https://openalex.org/W2346506533","https://openalex.org/W2395230173","https://openalex.org/W2417256080","https://openalex.org/W2462232592","https://openalex.org/W2505029951","https://openalex.org/W2525668722","https://openalex.org/W2598601363","https://openalex.org/W2618422320","https://openalex.org/W2778192313","https://openalex.org/W2779142853","https://openalex.org/W2783946051","https://openalex.org/W2786460012","https://openalex.org/W2887843685","https://openalex.org/W2889250665","https://openalex.org/W2951401720","https://openalex.org/W3098388511","https://openalex.org/W3111652977","https://openalex.org/W4250589301","https://openalex.org/W4292363360","https://openalex.org/W6674909129","https://openalex.org/W6679973066","https://openalex.org/W6697713907","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2051487156","https://openalex.org/W2364594919","https://openalex.org/W2073681303","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2149583853","https://openalex.org/W1995723671","https://openalex.org/W2164647769"],"abstract_inverted_index":{"Low-rank":[0],"and":[1,11,40,138,175,191,249],"sparse":[2,34,41],"decomposition":[3,42],"is":[4,89,164,201],"a":[5,23,33,67,71,148],"powerful":[6],"tool":[7],"in":[8,22,55],"background":[9,19],"extraction":[10],"moving":[12,127],"object":[13,31,128],"detection":[14,129],"problems":[15],"since":[16],"the":[17,28,94,99,102,126,134,144,152,168,173,185,204,222,225,246,254],"static":[18],"usually":[20],"lies":[21],"low":[24],"dimensional":[25],"subspace":[26],"while":[27,171],"rapidly":[29],"changing":[30],"maintains":[32],"property.":[35],"Conventional":[36],"techniques":[37],"for":[38,224],"low-rank":[39,86,161],"can":[43,216],"handle":[44,122],"noise-free":[45],"or":[46,62],"Gaussian":[47],"noise":[48,61,73,100,174],"scenarios.":[49,124],"However,":[50],"their":[51],"performance":[52],"significantly":[53],"degrades":[54],"challenging":[56,194],"scenarios":[57,195],"contaminated":[58],"by":[59],"impulsive":[60],"outliers.":[63],"In":[64],"this":[65],"paper,":[66],"new":[68,149],"model":[69,150],"with":[70,115,231],"separable":[72],"component,":[74,101],"which":[75],"we":[76,131],"call":[77],"unstructured":[78],"<i":[79,107,154,235],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[80,83,108,111,155,158,236,239],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">l</i>":[81,109,156,237],"<sub":[82,110,157,238],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>p</b></sub>":[84,112,159,240],"-regularized":[85,113,160,241],"representation":[87,162],"(ULLR),":[88],"proposed.":[90],"Instead":[91],"of":[92,206,210,253],"incorporating":[93],"Frobenius":[95],"norm":[96],"constraint":[97],"on":[98],"proposed":[103,165,255],"ULLR":[104],"incorporates":[105],"flexible":[106],"schemes":[114],"0":[116,180],"<;":[117,181],"p":[118,182],"\u2264":[119,183],"2":[120],"to":[121,142,166,233,251],"varied":[123],"For":[125],"problem,":[130],"further":[132],"incorporate":[133],"local":[135],"group":[136,140],"structure":[137,141],"homogeneous":[139],"encode":[143],"underlying":[145],"object.":[146],"Then,":[147],"called":[151],"structured":[153],"(SLLR)":[163],"enhance":[167],"detected":[169],"foreground":[170],"suppressing":[172],"dynamic":[176],"background.":[177],"Especially,":[178],"when":[179],"1,":[184],"SLLR":[186],"achieves":[187],"robustness":[188,250],"against":[189],"outliers":[190,252],"hence":[192],"handles":[193],"well.":[196],"The":[197],"resultant":[198],"optimization":[199],"problem":[200],"solved":[202],"using":[203],"framework":[205],"alternating":[207],"direction":[208],"method":[209],"multipliers":[211],"(ADMM).":[212],"Each":[213],"ADMM":[214],"subproblem":[215,227],"be":[217],"efficiently":[218],"solved.":[219],"More":[220],"importantly,":[221],"solutions":[223],"noise-based":[226],"are":[228],"rigorously":[229],"derived":[230],"respect":[232],"different":[234],"schemes.":[242],"Simulation":[243],"results":[244],"demonstrate":[245],"efficiency,":[247],"accuracy,":[248],"algorithms.":[256]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
