{"id":"https://openalex.org/W3090813080","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207366","title":"Deep Learning Architecture for Group Activity Recognition using Description of Local Motions","display_name":"Deep Learning Architecture for Group Activity Recognition using Description of Local Motions","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090813080","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207366","mag":"3090813080"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5044684709","display_name":"Luis Felipe Borja-Borja","orcid":"https://orcid.org/0000-0003-0806-4351"},"institutions":[{"id":"https://openalex.org/I141930428","display_name":"Central University of Ecuador","ror":"https://ror.org/010n0x685","country_code":"EC","type":"education","lineage":["https://openalex.org/I141930428"]}],"countries":["EC"],"is_corresponding":true,"raw_author_name":"Luis Felipe Borja-Borja","raw_affiliation_strings":["Fac. de Ing., C. F&#x00ED;sicas y Matem&#x00E1;tica., Universidad Central del Ecuador,Quito,Ecuador"],"affiliations":[{"raw_affiliation_string":"Fac. de Ing., C. F&#x00ED;sicas y Matem&#x00E1;tica., Universidad Central del Ecuador,Quito,Ecuador","institution_ids":["https://openalex.org/I141930428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045870755","display_name":"Jorge Azor\u00edn-L\u00f3pez","orcid":"https://orcid.org/0000-0003-4762-6927"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jorge Azorin-Lopez","raw_affiliation_strings":["University of Alicante,Computer Technology Dep.,Alicante,Spain","Computer Technology Dep., University of Alicante, Alicante, Spain"],"affiliations":[{"raw_affiliation_string":"University of Alicante,Computer Technology Dep.,Alicante,Spain","institution_ids":["https://openalex.org/I130194489"]},{"raw_affiliation_string":"Computer Technology Dep., University of Alicante, Alicante, Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049623161","display_name":"Marcelo Saval-Calvo","orcid":"https://orcid.org/0000-0002-6245-5145"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marcelo Saval-Calvo","raw_affiliation_strings":["University of Alicante,Computer Technology Dep.,Alicante,Spain","Computer Technology Dep., University of Alicante, Alicante, Spain"],"affiliations":[{"raw_affiliation_string":"University of Alicante,Computer Technology Dep.,Alicante,Spain","institution_ids":["https://openalex.org/I130194489"]},{"raw_affiliation_string":"Computer Technology Dep., University of Alicante, Alicante, Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080320457","display_name":"Andr\u00e9s Fuster-Guill\u00f3","orcid":"https://orcid.org/0000-0003-0938-6344"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Andres Fuster-Guillo","raw_affiliation_strings":["University of Alicante,Computer Technology Dep.,Alicante,Spain","Computer Technology Dep., University of Alicante, Alicante, Spain"],"affiliations":[{"raw_affiliation_string":"University of Alicante,Computer Technology Dep.,Alicante,Spain","institution_ids":["https://openalex.org/I130194489"]},{"raw_affiliation_string":"Computer Technology Dep., University of Alicante, Alicante, Spain","institution_ids":["https://openalex.org/I130194489"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044684709"],"corresponding_institution_ids":["https://openalex.org/I141930428"],"apc_list":null,"apc_paid":null,"fwci":0.2944,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.57452502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.7567039728164673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7241879105567932},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6769968271255493},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5865166187286377},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5475330352783203},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5088527202606201},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48315948247909546},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46523064374923706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43577373027801514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41524776816368103},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38059502840042114},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0711154043674469}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567039728164673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7241879105567932},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6769968271255493},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5865166187286377},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5475330352783203},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5088527202606201},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48315948247909546},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46523064374923706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43577373027801514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41524776816368103},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38059502840042114},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0711154043674469},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:rua.ua.es:10045/151227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/IJCNN48605.2020.9207366","pdf_url":null,"source":{"id":"https://openalex.org/S4306400416","display_name":"Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130194489","host_organization_name":"University of Alicante","host_organization_lineage":["https://openalex.org/I130194489"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W28988658","https://openalex.org/W87484560","https://openalex.org/W232876404","https://openalex.org/W892668003","https://openalex.org/W1551696353","https://openalex.org/W1624466393","https://openalex.org/W1652350872","https://openalex.org/W1934910953","https://openalex.org/W1963603065","https://openalex.org/W1976857135","https://openalex.org/W1978723123","https://openalex.org/W1983705368","https://openalex.org/W1990517717","https://openalex.org/W1998025913","https://openalex.org/W2019080172","https://openalex.org/W2021004711","https://openalex.org/W2032219231","https://openalex.org/W2058586075","https://openalex.org/W2073003236","https://openalex.org/W2076269884","https://openalex.org/W2078999139","https://openalex.org/W2084830799","https://openalex.org/W2099805216","https://openalex.org/W2101223341","https://openalex.org/W2105594594","https://openalex.org/W2110885456","https://openalex.org/W2121899951","https://openalex.org/W2141251974","https://openalex.org/W2147953023","https://openalex.org/W2153990517","https://openalex.org/W2155268664","https://openalex.org/W2166322089","https://openalex.org/W2168108030","https://openalex.org/W2271991549","https://openalex.org/W2357970348","https://openalex.org/W2497146383","https://openalex.org/W2552950674","https://openalex.org/W2556782416","https://openalex.org/W2584419447","https://openalex.org/W2604690669","https://openalex.org/W2739179646","https://openalex.org/W2747474452","https://openalex.org/W2747695308","https://openalex.org/W2765172670","https://openalex.org/W2792966851","https://openalex.org/W2793586828","https://openalex.org/W2803974577","https://openalex.org/W2804860796","https://openalex.org/W2805613038","https://openalex.org/W2901282482","https://openalex.org/W2901960819","https://openalex.org/W2919115771","https://openalex.org/W2950568498","https://openalex.org/W2972796901","https://openalex.org/W3123784868","https://openalex.org/W3125008066","https://openalex.org/W6609126827","https://openalex.org/W6632966052","https://openalex.org/W6675238173","https://openalex.org/W6682956318"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W4375867731","https://openalex.org/W4360995134","https://openalex.org/W4248382324","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,54,59,65,75,86,95,103,110,129,148,179],"recognition":[2,26,180],"of":[3,27,56,78,85,94,105,113,120,131,141,147,181],"group":[4,28,51,123,182],"activities":[5,29,52],"is":[6,15,62],"a":[7,42,70,83,114,136,153],"significant":[8],"problem,":[9],"specially":[10],"in":[11,34,58,91,178],"video":[12],"surveillance.":[13],"It":[14,61],"increasingly":[16],"important":[17],"to":[18,36,47,73,108,166],"have":[19],"vision":[20,44],"architectures":[21],"that":[22,89,134],"automatically":[23],"allow":[24],"timely":[25],"and":[30,49,164,171],"predictions":[31],"about":[32],"them":[33],"order":[35],"make":[37],"decisions.":[38],"This":[39],"paper":[40],"proposes":[41],"computer":[43],"architecture":[45,155,160],"able":[46,72,107],"learn":[48],"recognise":[50],"using":[53,169],"movements":[55,88],"it":[57],"scene.":[60,96],"based":[63],"on":[64],"Activity":[66],"Description":[67],"Vector":[68],"(ADV),":[69],"descriptor":[71,101],"represent":[74],"trajectory":[76,132],"information":[77],"an":[79],"image":[80],"sequence":[81],"as":[82],"collection":[84],"local":[87],"occur":[90],"specific":[92],"regions":[93],"The":[97,159],"proposal":[98],"evolves":[99],"this":[100,126],"towards":[102],"generation":[104],"images":[106],"be":[109],"input":[111],"queue":[112],"two-stream":[115],"convolutional":[116],"neural":[117],"network":[118],"capable":[119],"robustly":[121],"classifying":[122],"activities.":[124,183],"Hence,":[125],"proposal,":[127],"besides":[128],"use":[130],"analysis":[133],"allows":[135],"simple":[137],"high":[138],"level":[139],"understanding":[140],"complex":[142],"groups":[143],"activities,":[144],"takes":[145],"advantage":[146],"deep":[149],"learning":[150],"characteristics":[151],"providing":[152],"robust":[154],"for":[156],"multi-class":[157],"recognition.":[158],"has":[161],"been":[162],"evaluated":[163],"compared":[165],"other":[167],"approaches":[168],"BEHAVE":[170],"INRIA":[172],"dataset":[173],"sequences":[174],"obtaining":[175],"great":[176],"performance":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
