{"id":"https://openalex.org/W2777904055","doi":"https://doi.org/10.1109/tci.2019.2891389","title":"Panoramic Robust PCA for Foreground\u2013Background Separation on Noisy, Free-Motion Camera Video","display_name":"Panoramic Robust PCA for Foreground\u2013Background Separation on Noisy, Free-Motion Camera Video","publication_year":2019,"publication_date":"2019-01-08","ids":{"openalex":"https://openalex.org/W2777904055","doi":"https://doi.org/10.1109/tci.2019.2891389","mag":"2777904055"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2019.2891389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2019.2891389","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1712.06229","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040332761","display_name":"Brian E. Moore","orcid":"https://orcid.org/0000-0001-7914-1794"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brian E. Moore","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","\u2020University of Michigan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"\u2020University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005759434","display_name":"Chen Gao","orcid":"https://orcid.org/0000-0001-8700-1409"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Gao","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","\u2020University of Michigan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"\u2020University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071117473","display_name":"Raj Rao Nadakuditi","orcid":"https://orcid.org/0000-0002-5506-1631"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raj Rao Nadakuditi","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","\u2020University of Michigan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"\u2020University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040332761"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00252219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"2","first_page":"195","last_page":"211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.7708194255828857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7484034299850464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7205374836921692},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7193614840507507},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.6751265525817871},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6316295862197876},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5729643106460571},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4532637596130371},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.44859635829925537},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.41636067628860474},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3694155216217041},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.3525469899177551},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.2455366551876068},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23727428913116455},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0720684826374054}],"concepts":[{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.7708194255828857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7484034299850464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7205374836921692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7193614840507507},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.6751265525817871},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6316295862197876},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5729643106460571},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4532637596130371},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.44859635829925537},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.41636067628860474},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3694155216217041},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.3525469899177551},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2455366551876068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23727428913116455},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0720684826374054},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tci.2019.2891389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2019.2891389","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1712.06229","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.06229","pdf_url":"https://arxiv.org/pdf/1712.06229","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1712.06229","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1712.06229","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2777904055","is_oa":false,"landing_page_url":"http://export.arxiv.org/pdf/1712.06229","pdf_url":null,"source":{"id":"https://openalex.org/S4306417987","display_name":"Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Computer Vision and Pattern Recognition","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1712.06229","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.06229","pdf_url":"https://arxiv.org/pdf/1712.06229","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G4998845798","display_name":null,"funder_award_id":"D14AP00086","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G6044231235","display_name":null,"funder_award_id":"N00014-15-1-2141","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8165670084","display_name":null,"funder_award_id":"2015-05174-05","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G932903589","display_name":null,"funder_award_id":"W911NF-11-1-0391","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2777904055.pdf","grobid_xml":"https://content.openalex.org/works/W2777904055.grobid-xml"},"referenced_works_count":96,"referenced_works":["https://openalex.org/W106426340","https://openalex.org/W1487980058","https://openalex.org/W1499877760","https://openalex.org/W1508960934","https://openalex.org/W1548028479","https://openalex.org/W1677409904","https://openalex.org/W1760407951","https://openalex.org/W1919155910","https://openalex.org/W1967336819","https://openalex.org/W1974042113","https://openalex.org/W1974192600","https://openalex.org/W1987423623","https://openalex.org/W1993962865","https://openalex.org/W1995168330","https://openalex.org/W2000248374","https://openalex.org/W2003753589","https://openalex.org/W2005089986","https://openalex.org/W2017304912","https://openalex.org/W2018042101","https://openalex.org/W2021836772","https://openalex.org/W2031489346","https://openalex.org/W2044810215","https://openalex.org/W2045983409","https://openalex.org/W2059639989","https://openalex.org/W2061171222","https://openalex.org/W2071860582","https://openalex.org/W2072356364","https://openalex.org/W2078841894","https://openalex.org/W2085261163","https://openalex.org/W2091741383","https://openalex.org/W2096309046","https://openalex.org/W2096642693","https://openalex.org/W2102625004","https://openalex.org/W2103559027","https://openalex.org/W2103972604","https://openalex.org/W2106037979","https://openalex.org/W2115608034","https://openalex.org/W2120580172","https://openalex.org/W2121274305","https://openalex.org/W2122423951","https://openalex.org/W2132657058","https://openalex.org/W2137326761","https://openalex.org/W2145096794","https://openalex.org/W2145152441","https://openalex.org/W2145962650","https://openalex.org/W2146130798","https://openalex.org/W2155813684","https://openalex.org/W2164278908","https://openalex.org/W2164616133","https://openalex.org/W2167344194","https://openalex.org/W2168813398","https://openalex.org/W2168903001","https://openalex.org/W2169899245","https://openalex.org/W2175634846","https://openalex.org/W2219752407","https://openalex.org/W2296616510","https://openalex.org/W2299608830","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2417256080","https://openalex.org/W2470139095","https://openalex.org/W2486280681","https://openalex.org/W2503308866","https://openalex.org/W2513570774","https://openalex.org/W2517865409","https://openalex.org/W2569021273","https://openalex.org/W2600964683","https://openalex.org/W2601564443","https://openalex.org/W2617488912","https://openalex.org/W2737258237","https://openalex.org/W2769517047","https://openalex.org/W2793586828","https://openalex.org/W2911762971","https://openalex.org/W2913535645","https://openalex.org/W2949341804","https://openalex.org/W2950384655","https://openalex.org/W2950477723","https://openalex.org/W2951401720","https://openalex.org/W2951713178","https://openalex.org/W2963150697","https://openalex.org/W2963556179","https://openalex.org/W2964176324","https://openalex.org/W3104099693","https://openalex.org/W3104624268","https://openalex.org/W3123837026","https://openalex.org/W4206519735","https://openalex.org/W4244393449","https://openalex.org/W4250955649","https://openalex.org/W4292363360","https://openalex.org/W6632824298","https://openalex.org/W6640220554","https://openalex.org/W6675840925","https://openalex.org/W6688790339","https://openalex.org/W6697506082","https://openalex.org/W6722444669","https://openalex.org/W6736965430"],"related_works":["https://openalex.org/W2924351118","https://openalex.org/W2571903857","https://openalex.org/W2947176819","https://openalex.org/W2787065181","https://openalex.org/W1507682816","https://openalex.org/W2159113259","https://openalex.org/W2187368790","https://openalex.org/W3203571399","https://openalex.org/W3167906263","https://openalex.org/W3174279090","https://openalex.org/W1987119828","https://openalex.org/W3120182249","https://openalex.org/W1543522021","https://openalex.org/W2266570644","https://openalex.org/W2954839527","https://openalex.org/W2766287868","https://openalex.org/W3150327674","https://openalex.org/W2069742738","https://openalex.org/W2899019943","https://openalex.org/W2808603917"],"abstract_inverted_index":{"This":[0,49],"paper":[1],"presents":[2],"a":[3,46,56,86,93,105,128,157,192],"new":[4],"robust":[5],"PCA":[6],"method":[7,24,165,208],"for":[8],"foreground-background":[9],"separation":[10],"on":[11,127,183],"freely":[12],"moving":[13,187],"camera":[14,40,188],"video":[15,31,81,174,189],"with":[16],"possible":[17,110],"dense":[18,195],"and":[19,32,104,112,186,196,218],"sparse":[20,106,114,176,197],"corruptions.":[21,177,198],"Our":[22,199],"proposed":[23,207],"registers":[25],"the":[26,29,35,72,79,83,91,98,102,117,148,169,173,202],"frames":[27,69],"of":[28,75,85,101,122,152,172,194,205,216],"corrupted":[30,64],"then":[33],"encodes":[34],"varying":[36],"perspective":[37],"arising":[38],"from":[39,66,175],"motion":[41],"as":[42,82],"missing":[43],"data":[44,65],"in":[45,116,144,214],"global":[47],"model.":[48],"formulation":[50],"allows":[51],"our":[52,123,153,164,206],"algorithm":[53],"to":[54,70,138,166,191,210],"produce":[55],"panoramic":[57],"background":[58,219],"component":[59,88,95,107,151],"that":[60,89,96,108,134,162],"automatically":[61],"stitches":[62],"together":[63],"partially":[67],"overlapping":[68],"reconstruct":[71],"full":[73],"field":[74],"view.":[76],"We":[77,178],"model":[78,124],"registered":[80],"sum":[84],"low-rank":[87,120,130,141],"captures":[90,97],"background,":[92],"smooth":[94,149],"dynamic":[99],"foreground":[100,150,171,217],"scene,":[103],"isolates":[109],"outliers":[111],"other":[113],"corruptions":[115],"video.":[118],"The":[119],"portion":[121],"is":[125],"based":[126],"recent":[129],"matrix":[131],"estimator":[132],"(OptShrink)":[133],"has":[135],"been":[136],"shown":[137],"yield":[139],"superior":[140],"subspace":[142],"estimates":[143],"practice.":[145],"To":[146],"estimate":[147],"model,":[154],"we":[155],"use":[156],"weighted":[158],"total":[159],"variation":[160],"framework":[161],"enables":[163],"reliably":[167],"decouple":[168],"true":[170],"perform":[179],"extensive":[180],"numerical":[181],"experiments":[182,200],"both":[184,213],"static":[185],"subject":[190],"variety":[193],"demonstrate":[201],"state-of-the-art":[203],"performance":[204],"compared":[209],"existing":[211],"methods":[212],"terms":[215],"estimation":[220],"accuracy.":[221]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
