{"id":"https://openalex.org/W2277192409","doi":"https://doi.org/10.1109/tmm.2016.2514848","title":"Compressed-Sensed-Domain L<sub>1</sub>-PCA Video Surveillance","display_name":"Compressed-Sensed-Domain L<sub>1</sub>-PCA Video Surveillance","publication_year":2016,"publication_date":"2016-01-05","ids":{"openalex":"https://openalex.org/W2277192409","doi":"https://doi.org/10.1109/tmm.2016.2514848","mag":"2277192409"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2016.2514848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2016.2514848","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5100414451","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0003-3380-4243"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ying Liu","raw_affiliation_strings":["Department of Electrical Engineering, State University of New York at Buffalo, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, State University of New York at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052953883","display_name":"Dimitris A. Pados","orcid":"https://orcid.org/0000-0001-8959-6450"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris A. Pados","raw_affiliation_strings":["Department of Electrical Engineering, State University of New York at Buffalo, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, State University of New York at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100414451"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":13.6783,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.994469,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"18","issue":"3","first_page":"351","last_page":"363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9988999962806702,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/principal-component-analysis","display_name":"Principal component analysis","score":0.614945113658905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5885157585144043},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5405266880989075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47860878705978394},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4267130494117737},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33787572383880615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2552535831928253}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.614945113658905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5885157585144043},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5405266880989075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47860878705978394},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4267130494117737},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33787572383880615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2552535831928253},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2016.2514848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2016.2514848","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4971381699","display_name":null,"funder_award_id":"CNS-1117121","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5055791308","display_name":null,"funder_award_id":"CNS-1422874","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W30289623","https://openalex.org/W59557121","https://openalex.org/W101586694","https://openalex.org/W147992333","https://openalex.org/W1499877760","https://openalex.org/W1539726260","https://openalex.org/W1967417841","https://openalex.org/W1968581060","https://openalex.org/W1989939047","https://openalex.org/W1992633833","https://openalex.org/W2017682667","https://openalex.org/W2019304914","https://openalex.org/W2019717466","https://openalex.org/W2030987534","https://openalex.org/W2031227834","https://openalex.org/W2038359734","https://openalex.org/W2041346029","https://openalex.org/W2053300860","https://openalex.org/W2059639989","https://openalex.org/W2060628274","https://openalex.org/W2063978378","https://openalex.org/W2067191022","https://openalex.org/W2072221842","https://openalex.org/W2098067183","https://openalex.org/W2101117936","https://openalex.org/W2101500612","https://openalex.org/W2101675075","https://openalex.org/W2102625004","https://openalex.org/W2103425977","https://openalex.org/W2119667497","https://openalex.org/W2120865781","https://openalex.org/W2123221155","https://openalex.org/W2124584309","https://openalex.org/W2124842874","https://openalex.org/W2127271355","https://openalex.org/W2129638195","https://openalex.org/W2135046866","https://openalex.org/W2139128774","https://openalex.org/W2140235142","https://openalex.org/W2141572457","https://openalex.org/W2145962650","https://openalex.org/W2164452299","https://openalex.org/W2167344194","https://openalex.org/W2167396304","https://openalex.org/W2296616510","https://openalex.org/W2803670972","https://openalex.org/W3104984874","https://openalex.org/W3147366366","https://openalex.org/W4250955649","https://openalex.org/W4285719527","https://openalex.org/W6601222342","https://openalex.org/W6629695367","https://openalex.org/W6674509028","https://openalex.org/W6677937869","https://openalex.org/W6684531467","https://openalex.org/W7073876970"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2364594919","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2126145365","https://openalex.org/W2036609560"],"abstract_inverted_index":{"We":[0,22],"consider":[1],"the":[2,25,29,41,44,48,54,68,74,80,103,108,142,147,196],"problem":[3],"of":[4,47,73],"foreground":[5],"and":[6,194],"background":[7,49,96,138],"extraction":[8],"from":[9],"compressed-sensed":[10],"(CS)":[11],"surveillance":[12],"videos":[13],"that":[14,37],"are":[15,66],"captured":[16],"by":[17,101,118],"a":[18,31],"static":[19],"CS":[20,42,104,156],"camera.":[21],"propose,":[23],"for":[24,182],"first":[26],"time":[27],"in":[28,40,155,190],"literature,":[30],"principal":[32,63,81,115],"component":[33],"analysis":[34],"(PCA)":[35],"approach":[36],"computes":[38],"directly":[39,134],"domain":[43],"low-rank":[45,137],"subspace":[46],"scene.":[50],"Rather":[51],"than":[52],"computing":[53],"conventional":[55],"<italic":[56,85,109,126,160,171],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[57,60,86,90,110,113,127,130,161,164,172,175],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">L</i>":[58,111,128,162,173],"<sub":[59,89,112,129,163,174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[61,165],"-norm-based":[62],"components,":[64],"which":[65],"simply":[67],"dominant":[69],"left":[70],"singular":[71],"vectors":[72],"CS-domain":[75],"data":[76],"matrix,":[77],"we":[78],"compute":[79],"components":[82,116],"under":[83],"an":[84],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">L":[87],"</i>":[88],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[91,114,131,176],"-norm":[92,132,166],"maximization":[93],"criterion.":[94],"The":[95,124],"scene":[97],"is":[98,179],"then":[99],"obtained":[100],"projecting":[102],"measurement":[105],"vector":[106],"onto":[107],"followed":[117],"total-variation":[119],"(TV)":[120],"minimization":[121],"image":[122],"recovery.":[123],"proposed":[125],"procedure":[133],"carries":[135],"out":[136],"representation":[139],"without":[140],"reconstructing":[141],"video":[143,184],"sequence":[144],"and,":[145],"at":[146],"same":[148],"time,":[149],"exhibits":[150],"significant":[151],"robustness":[152],"against":[153],"outliers":[154],"measurements":[157],"compared":[158],"to":[159],"PCA.":[167],"An":[168],"adaptive":[169],"CS-":[170],"-PCA":[177],"method":[178],"also":[180],"developed":[181],"low-latency":[183],"surveillance.":[185],"Extensive":[186],"experimental":[187],"studies":[188],"described":[189],"this":[191],"paper":[192],"illustrate":[193],"support":[195],"theoretical":[197],"developments.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}