{"id":"https://openalex.org/W3110787063","doi":"https://doi.org/10.1109/smc42975.2020.9283020","title":"Instance-Based Learning for Human Action Recognition","display_name":"Instance-Based Learning for Human Action Recognition","publication_year":2020,"publication_date":"2020-10-11","ids":{"openalex":"https://openalex.org/W3110787063","doi":"https://doi.org/10.1109/smc42975.2020.9283020","mag":"3110787063"},"language":"en","primary_location":{"id":"doi:10.1109/smc42975.2020.9283020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5085741883","display_name":"Mark Haddad","orcid":"https://orcid.org/0000-0002-4822-5482"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mark Haddad","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038847527","display_name":"Vahid Khorasani Ghassab","orcid":"https://orcid.org/0000-0001-7697-9364"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Vahid Khorasani Ghassab","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029366450","display_name":"Fatma Najar","orcid":"https://orcid.org/0000-0003-2301-4803"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fatma Najar","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090600716","display_name":"Nizar Bouguila","orcid":"https://orcid.org/0000-0001-7224-7940"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nizar Bouguila","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0979,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42981963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"147","last_page":"153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9993000030517578,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7095410227775574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.676443338394165},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6592342257499695},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.6213804483413696},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.6023704409599304},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5724177360534668},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5523650050163269},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5322954654693604},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5000665187835693},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4850872755050659},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.48171907663345337},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4771166145801544},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4470962882041931},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4431504011154175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42703476548194885},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.4221074879169464},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.3143647611141205},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18839922547340393},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.143959641456604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7095410227775574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.676443338394165},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6592342257499695},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.6213804483413696},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6023704409599304},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5724177360534668},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5523650050163269},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5322954654693604},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5000665187835693},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4850872755050659},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.48171907663345337},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4771166145801544},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4470962882041931},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4431504011154175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42703476548194885},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.4221074879169464},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.3143647611141205},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18839922547340393},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.143959641456604},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc42975.2020.9283020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2010399676","https://openalex.org/W2033178790","https://openalex.org/W2034328688","https://openalex.org/W2116755564","https://openalex.org/W2126574503","https://openalex.org/W2130506643","https://openalex.org/W2133774033","https://openalex.org/W2138232383","https://openalex.org/W2141494606","https://openalex.org/W2146634731","https://openalex.org/W2154889144","https://openalex.org/W2155268664","https://openalex.org/W2160883193","https://openalex.org/W2393003294","https://openalex.org/W2741028344","https://openalex.org/W3148595793"],"related_works":["https://openalex.org/W4297270893","https://openalex.org/W2577671007","https://openalex.org/W1591216093","https://openalex.org/W3091300685","https://openalex.org/W2912100719","https://openalex.org/W2331280411","https://openalex.org/W2963330455","https://openalex.org/W2139223596","https://openalex.org/W2783931899","https://openalex.org/W4225597351"],"abstract_inverted_index":{"Along":[0],"with":[1,151,182],"the":[2,18,33,84,89,105,129,133,136,148,152,162,170,173,186],"exponential":[3],"growth":[4],"of":[5,17,35,48,83,97,107,110,176,185],"online":[6],"video":[7,39,146],"creation":[8],"platforms":[9],"such":[10,37],"as":[11],"Tik":[12],"Tok":[13],"and":[14,23,72,132,164,169],"Instagram,":[15],"state":[16,184],"art":[19,187],"research":[20],"involving":[21],"quick":[22],"effective":[24],"action/gesture":[25],"recognition":[26],"applications":[27],"remains":[28],"crucial.":[29],"This":[30],"work":[31],"addresses":[32],"challenge":[34],"classifying":[36],"short":[38],"clips,":[40],"using":[41,52,94,119],"a":[42,114],"domain-specific":[43],"feature":[44],"design":[45],"approach,":[46],"capable":[47],"performing":[49],"significantly":[50],"well":[51],"little":[53],"training":[54],"data.":[55],"The":[56],"method":[57,96],"is":[58,140],"based":[59],"on":[60,161],"Gunner":[61],"Farneback":[62],"dense":[63],"optical":[64],"flow":[65],"(GF-OF)":[66],"estimation":[67],"strategy,":[68],"Gaussian":[69,115],"mixture":[70,116],"models,":[71],"information":[73],"divergence.":[74],"We":[75,100,157],"first":[76],"aim":[77],"to":[78,125,147],"obtain":[79],"accurate":[80],"3D":[81],"representations":[82],"human":[85],"movements/actions":[86],"through":[87],"clustering":[88],"results":[90,171],"given":[91],"by":[92,103,113,142],"GF-OF":[93],"K-means":[95],"vector":[98],"quantization.":[99],"then":[101],"proceed":[102],"representing":[104],"result":[106],"one":[108],"instance":[109],"each":[111,144],"action":[112,150],"model.":[117],"Furthermore,":[118],"Kullback-Leibler":[120],"divergence":[121],"(KL-divergence),":[122],"we":[123],"attempt":[124],"find":[126],"similarities":[127],"between":[128],"trained":[130,149],"actions":[131],"ones":[134],"in":[135,180],"test":[137],"videos.":[138],"Classification":[139],"done":[141],"matching":[143],"testing":[145],"highest":[153],"similarity":[154],"(lowest":[155],"KL-divergence).":[156],"have":[158],"performed":[159],"experiments":[160],"KTH":[163],"Weizmann":[165],"Human":[166],"Action":[167],"datasets,":[168],"reveal":[172],"discriminative":[174],"nature":[175],"our":[177],"proposed":[178],"methodology":[179],"comparison":[181],"other":[183],"techniques.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
