{"id":"https://openalex.org/W3022882000","doi":"https://doi.org/10.1109/access.2020.2992494","title":"A Tensor Foreground-Background Separation Algorithm Based on Dynamic Dictionary Update and Active Contour Detection","display_name":"A Tensor Foreground-Background Separation Algorithm Based on Dynamic Dictionary Update and Active Contour Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3022882000","doi":"https://doi.org/10.1109/access.2020.2992494","mag":"3022882000"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2992494","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992494","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086474.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086474.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102852643","display_name":"Shenglei Pei","orcid":"https://orcid.org/0000-0003-0756-5461"},"institutions":[{"id":"https://openalex.org/I290007724","display_name":"Qinghai University for Nationalities","ror":"https://ror.org/01e7csr82","country_code":"CN","type":"education","lineage":["https://openalex.org/I290007724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenglei Pei","raw_affiliation_strings":["School of Physics and Electronics Information Engineering, Qinghai Nationalities University, Xining, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics Information Engineering, Qinghai Nationalities University, Xining, China","institution_ids":["https://openalex.org/I290007724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101677107","display_name":"Linhao Li","orcid":"https://orcid.org/0000-0001-7961-5320"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linhao Li","raw_affiliation_strings":["Hebei Provincial Key Laboratory of Big Data Computing, School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7961-5320","affiliations":[{"raw_affiliation_string":"Hebei Provincial Key Laboratory of Big Data Computing, School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100617939","display_name":"Lijuan Ye","orcid":"https://orcid.org/0000-0002-7229-6870"},"institutions":[{"id":"https://openalex.org/I290007724","display_name":"Qinghai University for Nationalities","ror":"https://ror.org/01e7csr82","country_code":"CN","type":"education","lineage":["https://openalex.org/I290007724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Ye","raw_affiliation_strings":["School of Mathematics and Statistics, Qinghai Nationalities University, Xining, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Qinghai Nationalities University, Xining, China","institution_ids":["https://openalex.org/I290007724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066218069","display_name":"Yongfeng Dong","orcid":"https://orcid.org/0000-0003-1126-9075"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfeng Dong","raw_affiliation_strings":["Hebei Provincial Key Laboratory of Big Data Computing, School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Provincial Key Laboratory of Big Data Computing, School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0542,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.7909564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"88259","last_page":"88272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11019","display_name":"Image Enhancement Techniques","score":0.9993000030517578,"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":0.9966999888420105,"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/foreground-detection","display_name":"Foreground detection","score":0.7784209251403809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7190026640892029},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5830853581428528},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5446471571922302},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.5191428065299988},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4867291748523712},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.4573892652988434},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.4554738998413086},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.43384912610054016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4281827211380005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42217308282852173},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.21532738208770752},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21181821823120117}],"concepts":[{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.7784209251403809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7190026640892029},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5830853581428528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5446471571922302},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.5191428065299988},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4867291748523712},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.4573892652988434},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.4554738998413086},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.43384912610054016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4281827211380005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42217308282852173},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.21532738208770752},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21181821823120117},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2992494","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992494","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086474.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:37814cf9d2bb4eeaa924bc785a37757f","is_oa":true,"landing_page_url":"https://doaj.org/article/37814cf9d2bb4eeaa924bc785a37757f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 88259-88272 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2992494","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992494","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086474.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4957151924","display_name":null,"funder_award_id":"2020XJG13","funder_id":"https://openalex.org/F4320326280","funder_display_name":"Qinghai University"},{"id":"https://openalex.org/G826752018","display_name":null,"funder_award_id":"61902106","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/F4320326280","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13"},{"id":"https://openalex.org/F4320329785","display_name":"Qinghai Nationalities University","ror":"https://ror.org/01e7csr82"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3022882000.pdf","grobid_xml":"https://content.openalex.org/works/W3022882000.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W127978250","https://openalex.org/W1499877760","https://openalex.org/W1955701043","https://openalex.org/W1960877884","https://openalex.org/W1969977005","https://openalex.org/W1977709942","https://openalex.org/W1979376803","https://openalex.org/W1990864775","https://openalex.org/W1991113069","https://openalex.org/W2018042101","https://openalex.org/W2021836772","https://openalex.org/W2036368823","https://openalex.org/W2052524720","https://openalex.org/W2059639989","https://openalex.org/W2060628274","https://openalex.org/W2071680411","https://openalex.org/W2082834618","https://openalex.org/W2087018183","https://openalex.org/W2095581126","https://openalex.org/W2098305432","https://openalex.org/W2102625004","https://openalex.org/W2104095591","https://openalex.org/W2115213191","https://openalex.org/W2127271355","https://openalex.org/W2134820502","https://openalex.org/W2143068965","https://openalex.org/W2143516773","https://openalex.org/W2145962650","https://openalex.org/W2150489380","https://openalex.org/W2159152281","https://openalex.org/W2160547390","https://openalex.org/W2200116135","https://openalex.org/W2282078292","https://openalex.org/W2294546190","https://openalex.org/W2405544137","https://openalex.org/W2414168010","https://openalex.org/W2511819774","https://openalex.org/W2520630030","https://openalex.org/W2538773003","https://openalex.org/W2551055131","https://openalex.org/W2566922557","https://openalex.org/W2608661295","https://openalex.org/W2618422320","https://openalex.org/W2750950678","https://openalex.org/W2778867171","https://openalex.org/W2783946051","https://openalex.org/W2792020408","https://openalex.org/W2793015883","https://openalex.org/W2793896956","https://openalex.org/W2805950667","https://openalex.org/W2888562317","https://openalex.org/W2890805654","https://openalex.org/W2896633068","https://openalex.org/W2901783607","https://openalex.org/W2901951655","https://openalex.org/W2906988372","https://openalex.org/W2951401720","https://openalex.org/W2955454312","https://openalex.org/W2955963201","https://openalex.org/W2962564092","https://openalex.org/W2963431840","https://openalex.org/W2983488121","https://openalex.org/W3008989776","https://openalex.org/W3098655664","https://openalex.org/W3103307342","https://openalex.org/W3211330693","https://openalex.org/W6687930509","https://openalex.org/W6726645524","https://openalex.org/W6728784960"],"related_works":["https://openalex.org/W2105103921","https://openalex.org/W1999137714","https://openalex.org/W2953123162","https://openalex.org/W2086414697","https://openalex.org/W2188430267","https://openalex.org/W4298195641","https://openalex.org/W2084753955","https://openalex.org/W2110416663","https://openalex.org/W3010714307","https://openalex.org/W2028059897"],"abstract_inverted_index":{"Foreground-background":[0],"separation":[1,138],"of":[2,49,63,85,106,150],"surveillance":[3],"video,":[4],"that":[5,168],"models":[6],"static":[7],"background":[8,29,64,80,92,134,160,176],"and":[9,33,88,109,127,135,162,177],"extracts":[10],"moving":[11,99],"foreground":[12,100,137,163,181],"simultaneously,":[13],"attracts":[14],"increasing":[15],"attentions":[16],"in":[17,57,158],"building":[18],"a":[19,82,104,118],"smart":[20],"city.":[21],"Conventional":[22],"techniques":[23],"towards":[24],"this":[25],"always":[26],"consider":[27],"the":[28,47,54,78,90,98,147,155,174],"as":[30,39,103],"primary":[31],"target":[32],"tend":[34],"to":[35,46,76,173],"adopt":[36],"low-rank":[37],"constraint":[38],"its":[40],"estimator,":[41],"which":[42,144],"provides":[43],"finite":[44],"(equal":[45],"value":[48],"rank)":[50],"alternatives":[51],"when":[52,182],"constructing":[53],"background.":[55],"However,":[56],"practical":[58],"missions,":[59],"although":[60],"general":[61,79],"sketch":[62],"is":[65,101,115,170],"stable,":[66],"some":[67,86],"details":[68],"change":[69],"constantly.":[70],"Aimed":[71],"at":[72],"this,":[73],"we":[74],"propose":[75],"represent":[77],"by":[81,93],"linear":[83],"combination":[84],"atoms":[87],"record":[89],"detailed":[91],"spatiotemporal":[94,156],"clustered":[95],"patches.":[96],"Then,":[97],"considered":[102],"mixture":[105],"active":[107],"contours":[108],"continuous":[110],"contents.":[111],"Eventually,":[112],"joint":[113],"optimization":[114],"conducted":[116],"under":[117],"unified":[119],"framework,":[120],"i.e.,":[121],"alternating":[122],"direction":[123],"multipliers":[124],"method":[125],"(ADMM),":[126],"produces":[128,178],"our":[129],"tensor":[130,142],"model":[131],"for":[132],"hierarchical":[133,136],"(THHS).":[139],"The":[140],"employed":[141],"space,":[143],"agrees":[145],"with":[146],"instinct":[148],"structure":[149],"video":[151],"data,":[152],"benefits":[153],"all":[154],"designs":[157],"both":[159],"modular":[161],"part.":[164],"Experimental":[165],"results":[166],"show":[167],"THHS":[169],"more":[171,179],"adaptive":[172],"dynamic":[175],"accurate":[180],"compared":[183],"against":[184],"current":[185],"state-of-the-art":[186],"techniques.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}