{"id":"https://openalex.org/W1973873770","doi":"https://doi.org/10.1109/tmm.2013.2283846","title":"Learning Effective Event Models to Recognize a Large Number of Human Actions","display_name":"Learning Effective Event Models to Recognize a Large Number of Human Actions","publication_year":2013,"publication_date":"2013-09-27","ids":{"openalex":"https://openalex.org/W1973873770","doi":"https://doi.org/10.1109/tmm.2013.2283846","mag":"1973873770"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2013.2283846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2013.2283846","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/A5101836829","display_name":"Jianzhai Wu","orcid":"https://orcid.org/0000-0001-8671-7210"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianzhai Wu","raw_affiliation_strings":["College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan, China","Coll. of Mechatron. Eng. & Autom, Nat. Univ. of Defense Technol., Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Coll. of Mechatron. Eng. & Autom, Nat. Univ. of Defense Technol., Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071074935","display_name":"Dewen Hu","orcid":"https://orcid.org/0000-0001-7357-0053"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dewen Hu","raw_affiliation_strings":["College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan, China","Coll. of Mechatron. Eng. & Autom, Nat. Univ. of Defense Technol., Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Coll. of Mechatron. Eng. & Autom, Nat. Univ. of Defense Technol., Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101836829"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":2.4494,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.90098678,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"1","first_page":"147","last_page":"158"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.8320077657699585},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6303107738494873},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5996385216712952},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5850895643234253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5767259001731873},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5263946056365967},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5158954858779907},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4702775776386261},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.45355963706970215},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.41292497515678406},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41282209753990173},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.16155663132667542},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11297079920768738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8320077657699585},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6303107738494873},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5996385216712952},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5850895643234253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5767259001731873},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5263946056365967},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5158954858779907},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4702775776386261},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.45355963706970215},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.41292497515678406},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41282209753990173},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16155663132667542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11297079920768738},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2013.2283846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2013.2283846","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":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1211924006","https://openalex.org/W1498368596","https://openalex.org/W1566135517","https://openalex.org/W1576762698","https://openalex.org/W1595717062","https://openalex.org/W1604938182","https://openalex.org/W1993229407","https://openalex.org/W2010399676","https://openalex.org/W2018668305","https://openalex.org/W2020733616","https://openalex.org/W2027688900","https://openalex.org/W2034328688","https://openalex.org/W2063153269","https://openalex.org/W2065717806","https://openalex.org/W2083174318","https://openalex.org/W2092825074","https://openalex.org/W2095536970","https://openalex.org/W2096691069","https://openalex.org/W2100916003","https://openalex.org/W2101194540","https://openalex.org/W2105644991","https://openalex.org/W2108333036","https://openalex.org/W2110142955","https://openalex.org/W2114016557","https://openalex.org/W2118585731","https://openalex.org/W2119799051","https://openalex.org/W2121637583","https://openalex.org/W2126574503","https://openalex.org/W2142194269","https://openalex.org/W2142258645","https://openalex.org/W2147102238","https://openalex.org/W2147196093","https://openalex.org/W2161969291","https://openalex.org/W2162670331","https://openalex.org/W2162915993","https://openalex.org/W2163292664","https://openalex.org/W2166294429","https://openalex.org/W2168356304","https://openalex.org/W2429914308","https://openalex.org/W4249279051","https://openalex.org/W6627953756","https://openalex.org/W6630009274","https://openalex.org/W6635755983","https://openalex.org/W6675296101","https://openalex.org/W6675760969","https://openalex.org/W6676671045","https://openalex.org/W6677254752","https://openalex.org/W6677656871","https://openalex.org/W6681785522"],"related_works":["https://openalex.org/W2364921833","https://openalex.org/W2302028273","https://openalex.org/W1525643724","https://openalex.org/W2961085424","https://openalex.org/W2067938758","https://openalex.org/W2382623646","https://openalex.org/W3087771547","https://openalex.org/W2333420780","https://openalex.org/W2375199418","https://openalex.org/W4306674287"],"abstract_inverted_index":{"Human":[0],"action":[1,59,137],"recognition":[2],"in":[3,9,195],"videos":[4],"is":[5,14,28],"an":[6,77,95,174],"important":[7],"problem":[8,151,159],"computer":[10],"vision,":[11],"but":[12],"it":[13,27],"very":[15,188],"challenging,":[16],"especially":[17],"when":[18],"recognizing":[19],"a":[20,103,116,133,141,154,187],"large":[21,48,85,134,170,182,189],"number":[22,135,190],"of":[23,110,118,136,191,218],"human":[24],"actions.":[25,40],"First,":[26],"difficult":[29],"to":[30,68,214],"capture":[31,69,88],"the":[32,42,70,89,108,111,125,166,200,204,216,219],"crucial":[33,71,90],"motion":[34,72,91],"patterns":[35],"that":[36,81,106,121,178,185],"discriminate":[37],"among":[38],"these":[39],"Second,":[41],"method":[43],"should":[44],"be":[45],"scalable":[46,168],"for":[47,57,97,132,169,181,227],"datasets":[49],"because":[50],"more":[51,58],"training":[52],"examples":[53],"are":[54],"often":[55],"collected":[56],"classes.":[60],"In":[61],"this":[62,150],"paper,":[63],"we":[64,75,93,101,139,148,172],"employ":[65,140],"latent":[66,104,130,145],"models":[67,131],"patterns,":[73,92],"and":[74,100,147,206],"propose":[76,173],"effective":[78,129],"learning":[79],"algorithm":[80,167],"can":[82,122],"efficiently":[83],"address":[84,149],"datasets.":[86,208,229],"To":[87,127,164],"define":[94],"\u201cevent\u201d":[96],"each":[98],"category,":[99],"add":[102],"variable":[105],"indicates":[107],"start":[109],"event.":[112],"The":[113],"event":[114],"has":[115],"length":[117],"several":[119],"frames":[120],"differ":[123],"across":[124],"categories.":[126],"train":[128],"classes,":[138],"multi-class":[142],"formulation":[143],"with":[144,160],"variables,":[146],"by":[152],"solving":[153],"dual":[155],"quadratic":[156],"programming":[157],"(QP)":[158],"linear":[161,192],"inequality":[162,193],"constraints.":[163],"make":[165],"datasets,":[171],"improved":[175],"QP":[176,183],"solver":[177],"converges":[179],"quickly":[180],"problems":[184],"have":[186,211],"constraints":[194],"real-world":[196],"applications.":[197],"We":[198],"examine":[199],"proposed":[201,220],"approach":[202,223],"on":[203],"HMDB51":[205],"UCF50":[207],"Comparison":[209],"results":[210,226],"been":[212],"reported":[213],"demonstrate":[215],"effectiveness":[217],"technique.":[221],"Our":[222],"outperforms":[224],"state-of-the-art":[225],"both":[228]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
