{"id":"https://openalex.org/W2510255920","doi":"https://doi.org/10.1109/icip.2016.7533145","title":"Human action recognition via multiview discriminative analysis of canonical correlations","display_name":"Human action recognition via multiview discriminative analysis of canonical correlations","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2510255920","doi":"https://doi.org/10.1109/icip.2016.7533145","mag":"2510255920"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5021639083","display_name":"Nour El Din El Madany","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 El Madany","raw_affiliation_strings":["Ryerson University, Toronto, ON, CA"],"affiliations":[{"raw_affiliation_string":"Ryerson University, Toronto, ON, CA","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, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Ryerson University, Toronto, Ontario, 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, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Ryerson University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021639083"],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":null,"apc_paid":null,"fwci":1.1863,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85400929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4170","last_page":"4174"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/discriminative-model","display_name":"Discriminative model","score":0.9054151177406311},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7394137978553772},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7276695966720581},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6754410266876221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6666826605796814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6103992462158203},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5884178280830383},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5350640416145325},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5047324895858765},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5036167502403259},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.46240928769111633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23267263174057007},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2100553810596466},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1386151909828186}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9054151177406311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7394137978553772},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7276695966720581},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6754410266876221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6666826605796814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6103992462158203},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5884178280830383},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5350640416145325},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5047324895858765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5036167502403259},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.46240928769111633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23267263174057007},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2100553810596466},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1386151909828186},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7533145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W203345490","https://openalex.org/W1534763723","https://openalex.org/W1596216457","https://openalex.org/W2004261710","https://openalex.org/W2008824967","https://openalex.org/W2020163092","https://openalex.org/W2048821851","https://openalex.org/W2072070523","https://openalex.org/W2073139398","https://openalex.org/W2085735683","https://openalex.org/W2100235303","https://openalex.org/W2120852116","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2145546283","https://openalex.org/W2146634731","https://openalex.org/W2155797815","https://openalex.org/W2165673880","https://openalex.org/W2169251375","https://openalex.org/W2186449605","https://openalex.org/W2246021102","https://openalex.org/W2296311849","https://openalex.org/W6608276133","https://openalex.org/W6632082525","https://openalex.org/W6635654010","https://openalex.org/W6681270988","https://openalex.org/W6683120131","https://openalex.org/W6685306902"],"related_works":["https://openalex.org/W2354322770","https://openalex.org/W3000097931","https://openalex.org/W3205445068","https://openalex.org/W3161591591","https://openalex.org/W3134004915","https://openalex.org/W2348780717","https://openalex.org/W2347783461","https://openalex.org/W2100094821","https://openalex.org/W2904398182","https://openalex.org/W2787014444"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,25,93],"novel":[4],"Multiview":[5],"Discriminative":[6],"Analysis":[7],"of":[8,42,53],"Canonical":[9],"Correlations":[10],"(MDACC)":[11],"for":[12,47,57,64],"multiview":[13],"learning.":[14],"The":[15,67,83],"proposed":[16,68,89],"MDACC":[17,32],"can":[18,91],"capture":[19],"discriminative":[20],"features.":[21],"Furthermore,":[22],"we":[23],"present":[24],"human":[26,80],"action":[27,81],"recognition":[28],"framework":[29,69,90],"by":[30],"using":[31,72],"to":[33,98],"fuse":[34],"multimodal":[35,79],"features,":[36],"which":[37],"include":[38],"the":[39,48,51,58,61,65,88],"hierarchical":[40],"Pyramid":[41],"Depth":[43],"Motion":[44],"Map":[45],"(HP-DMM)":[46],"depth":[49],"images,":[50],"Histogram":[52],"Oriented":[54],"Displacement":[55],"(HOD)":[56],"skeleton,":[59],"and":[60,77],"statistical":[62],"measurements":[63],"accelerometer.":[66],"was":[70],"evaluated":[71],"two":[73],"datasets":[74],"MSR-Action3D":[75],"dataset":[76],"UTD":[78],"dataset.":[82],"experimental":[84],"results":[85],"demonstrated":[86],"that":[87],"achieve":[92],"higher":[94],"average":[95],"accuracy":[96],"compared":[97],"several":[99],"existing":[100],"methods.":[101]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
