{"id":"https://openalex.org/W2884328351","doi":"https://doi.org/10.1109/tip.2018.2855438","title":"Information Fusion for Human Action Recognition via Biset/Multiset Globality Locality Preserving Canonical Correlation Analysis","display_name":"Information Fusion for Human Action Recognition via Biset/Multiset Globality Locality Preserving Canonical Correlation Analysis","publication_year":2018,"publication_date":"2018-07-12","ids":{"openalex":"https://openalex.org/W2884328351","doi":"https://doi.org/10.1109/tip.2018.2855438","mag":"2884328351","pmid":"https://pubmed.ncbi.nlm.nih.gov/30010573"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2855438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2855438","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5108241310","display_name":"Nour El Din Elmadany","orcid":null},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Nour El Din Elmadany","raw_affiliation_strings":["Electrical and Computer Engineering Department, Ryerson University, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Ryerson University, ON, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461963","display_name":"Yifeng He","orcid":"https://orcid.org/0000-0002-1700-3166"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yifeng He","raw_affiliation_strings":["Electrical and Computer Engineering Department, Ryerson University, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Ryerson University, ON, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001287866","display_name":"Ling Guan","orcid":"https://orcid.org/0000-0002-2681-2504"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ling Guan","raw_affiliation_strings":["Electrical and Computer Engineering Department, Ryerson University, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Ryerson University, ON, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108241310"],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":null,"apc_paid":null,"fwci":3.0293,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.93907294,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"27","issue":"11","first_page":"5275","last_page":"5287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9958000183105469,"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/multiset","display_name":"Multiset","score":0.828880250453949},{"id":"https://openalex.org/keywords/globality","display_name":"Globality","score":0.8253982067108154},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.822543740272522},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.7681346535682678},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6063777804374695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5910696387290955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5775665640830994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5383521318435669},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4307325780391693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3437751233577728},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.0679502785205841}],"concepts":[{"id":"https://openalex.org/C2779623528","wikidata":"https://www.wikidata.org/wiki/Q864377","display_name":"Multiset","level":2,"score":0.828880250453949},{"id":"https://openalex.org/C2778749631","wikidata":"https://www.wikidata.org/wiki/Q5570927","display_name":"Globality","level":3,"score":0.8253982067108154},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.822543740272522},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.7681346535682678},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6063777804374695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5910696387290955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5775665640830994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5383521318435669},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4307325780391693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3437751233577728},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0679502785205841},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C2119116","wikidata":"https://www.wikidata.org/wiki/Q7181","display_name":"Globalization","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2018.2855438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2855438","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:30010573","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30010573","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W28988658","https://openalex.org/W203345490","https://openalex.org/W225975350","https://openalex.org/W937255976","https://openalex.org/W1513100438","https://openalex.org/W1522734439","https://openalex.org/W1532879485","https://openalex.org/W1534763723","https://openalex.org/W1596216457","https://openalex.org/W1643810134","https://openalex.org/W1864907493","https://openalex.org/W1867429401","https://openalex.org/W1907621547","https://openalex.org/W1923332106","https://openalex.org/W1947481528","https://openalex.org/W1963631516","https://openalex.org/W1984798172","https://openalex.org/W1990596128","https://openalex.org/W1991189025","https://openalex.org/W1995784006","https://openalex.org/W2008824967","https://openalex.org/W2010399676","https://openalex.org/W2016240821","https://openalex.org/W2020163092","https://openalex.org/W2024868105","https://openalex.org/W2039508219","https://openalex.org/W2046013836","https://openalex.org/W2056339039","https://openalex.org/W2058256495","https://openalex.org/W2071207147","https://openalex.org/W2072070523","https://openalex.org/W2073139398","https://openalex.org/W2083095455","https://openalex.org/W2085735683","https://openalex.org/W2085900439","https://openalex.org/W2086509056","https://openalex.org/W2093195256","https://openalex.org/W2100235303","https://openalex.org/W2104706302","https://openalex.org/W2108333036","https://openalex.org/W2109910686","https://openalex.org/W2118877769","https://openalex.org/W2120852116","https://openalex.org/W2125073690","https://openalex.org/W2127127580","https://openalex.org/W2128730107","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2144564081","https://openalex.org/W2145546283","https://openalex.org/W2151047074","https://openalex.org/W2153635508","https://openalex.org/W2154872931","https://openalex.org/W2155797815","https://openalex.org/W2156303437","https://openalex.org/W2161866293","https://openalex.org/W2161969291","https://openalex.org/W2165715280","https://openalex.org/W2166294429","https://openalex.org/W2168570452","https://openalex.org/W2169251375","https://openalex.org/W2173046955","https://openalex.org/W2186449605","https://openalex.org/W2186500555","https://openalex.org/W2187089797","https://openalex.org/W2232201864","https://openalex.org/W2275479513","https://openalex.org/W2296311849","https://openalex.org/W2342662179","https://openalex.org/W2428757121","https://openalex.org/W2508202655","https://openalex.org/W2605111198","https://openalex.org/W2765179532","https://openalex.org/W2953084276","https://openalex.org/W2963173190","https://openalex.org/W6608276133","https://openalex.org/W6635654010","https://openalex.org/W6675277865","https://openalex.org/W6677548441","https://openalex.org/W6681270608","https://openalex.org/W6682644385","https://openalex.org/W6682864246","https://openalex.org/W6683120131","https://openalex.org/W6685213062","https://openalex.org/W6685306902","https://openalex.org/W6685520734","https://openalex.org/W6736256817","https://openalex.org/W7015296915"],"related_works":["https://openalex.org/W271456568","https://openalex.org/W4317464827","https://openalex.org/W1984946761","https://openalex.org/W2578144857","https://openalex.org/W2131436045","https://openalex.org/W2762769322","https://openalex.org/W1508127764","https://openalex.org/W3089323894","https://openalex.org/W2792134523","https://openalex.org/W1545779705"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"study":[4],"the":[5,33,53,96,125,132,173,176],"problem":[6],"of":[7,101,138,175],"human":[8,120,157],"action":[9,14,121,158,161],"recognition,":[10],"in":[11],"which":[12,49,72],"each":[13],"is":[15,40,63],"captured":[16],"by":[17,22],"multiple":[18,136],"sensors":[19],"and":[20,84,98,113,143,167],"represented":[21],"multisets.":[23,36],"We":[24,115],"propose":[25,117],"two":[26,58,105],"novel":[27,106],"information":[28,34],"fusion":[29],"techniques":[30],"for":[31,110],"fusing":[32],"from":[35,135],"The":[37,60,81],"first":[38],"technique":[39,62],"biset":[41],"globality":[42,65],"locality":[43,66],"preserving":[44,67],"canonical":[45,68],"correlation":[46,69],"analysis":[47,70],"(BGLPCCA),":[48],"aims":[50,73],"to":[51,74,88,130],"learn":[52,89,131],"common":[54,92],"feature":[55],"subspace":[56,93,134],"between":[57],"sets.":[59,80],"second":[61],"multiset":[64],"(MGLPCCA),":[71],"deal":[75],"with":[76],"three":[77],"or":[78,128],"more":[79],"proposed":[82,126,177],"BGLPCCA":[83,127],"MGLPCCA":[85,129],"are":[86,108],"able":[87],"a":[90,118],"low-dimensional":[91],"that":[94],"preserves":[95],"local":[97],"global":[99],"structures":[100],"data":[102],"samples.":[103],"Moreover,":[104],"descriptors":[107],"presented":[109],"both":[111],"depth":[112],"skeleton.":[114],"then":[116],"new":[119],"recognition":[122,165],"framework":[123],"employing":[124],"shared":[133],"sets":[137],"features":[139],"including":[140],"skeleton,":[141],"depth,":[142],"optical":[144],"flow.":[145],"Extensive":[146],"experiments":[147],"on":[148],"five":[149],"publicly":[150],"available":[151],"datasets":[152],"(MSR":[153],"Action3D,":[154],"UTD":[155],"multimodal":[156,160],"dataset,":[159,166],"database,":[162],"Kinect":[163,169],"activity":[164],"SBU":[168],"interaction":[170],"dataset)":[171],"demonstrate":[172],"effectiveness":[174],"framework.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
