{"id":"https://openalex.org/W3182753879","doi":"https://doi.org/10.1155/2021/2934943","title":"Group Behavior Pattern Recognition Algorithm Based on Spatio-Temporal Graph Convolutional Networks","display_name":"Group Behavior Pattern Recognition Algorithm Based on Spatio-Temporal Graph Convolutional Networks","publication_year":2021,"publication_date":"2021-07-08","ids":{"openalex":"https://openalex.org/W3182753879","doi":"https://doi.org/10.1155/2021/2934943","mag":"3182753879"},"language":"en","primary_location":{"id":"doi:10.1155/2021/2934943","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2934943","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/2934943.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2021/2934943.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040176629","display_name":"Xinfang Chen","orcid":"https://orcid.org/0000-0001-6899-5858"},"institutions":[{"id":"https://openalex.org/I4210098369","display_name":"Institute of Disaster Prevention","ror":"https://ror.org/00pyv1r78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098369","https://openalex.org/I90149893"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinfang Chen","raw_affiliation_strings":["College of Information Engineering, Institute of Disaster Prevention, Sanhe 065201, Hebei, China"],"raw_orcid":"https://orcid.org/0000-0001-6899-5858","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Institute of Disaster Prevention, Sanhe 065201, Hebei, China","institution_ids":["https://openalex.org/I4210098369"]}]},{"author_position":"last","author":{"id":null,"display_name":"Venkata Dinavahi","orcid":"https://orcid.org/0000-0002-6581-2873"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Venkata Dinavahi","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Alberta, Edmonton T6G 1H9, Alberta, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6581-2873","affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Alberta, Edmonton T6G 1H9, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040176629"],"corresponding_institution_ids":["https://openalex.org/I4210098369"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":0.3879,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60551332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965000152587891,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9901000261306763,"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":0.7451807856559753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6355690956115723},{"id":"https://openalex.org/keywords/group-behavior","display_name":"Group behavior","score":0.5471011400222778},{"id":"https://openalex.org/keywords/crowd-psychology","display_name":"Crowd psychology","score":0.53804612159729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5304436087608337},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5068078637123108},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47454485297203064},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4242815375328064},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4153272211551666},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11886847019195557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7451807856559753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6355690956115723},{"id":"https://openalex.org/C2986275291","wikidata":"https://www.wikidata.org/wiki/Q839578","display_name":"Group behavior","level":2,"score":0.5471011400222778},{"id":"https://openalex.org/C44042526","wikidata":"https://www.wikidata.org/wiki/Q1355183","display_name":"Crowd psychology","level":2,"score":0.53804612159729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5304436087608337},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5068078637123108},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47454485297203064},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4242815375328064},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4153272211551666},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11886847019195557},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/2934943","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2934943","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/2934943.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:350b246e08e34f899144235a6f257e6e","is_oa":false,"landing_page_url":"https://doaj.org/article/350b246e08e34f899144235a6f257e6e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/2934943","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2934943","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/2934943.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2163356258","display_name":null,"funder_award_id":"ZY20215126","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3182753879.pdf","grobid_xml":"https://content.openalex.org/works/W3182753879.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W2072232009","https://openalex.org/W2145983039","https://openalex.org/W2168356304","https://openalex.org/W2463631526","https://openalex.org/W2567966738","https://openalex.org/W2577161176","https://openalex.org/W2593042479","https://openalex.org/W2606879377","https://openalex.org/W2618002756","https://openalex.org/W2624127741","https://openalex.org/W2625226975","https://openalex.org/W2741077351","https://openalex.org/W2743112477","https://openalex.org/W2766796471","https://openalex.org/W2770650146","https://openalex.org/W2788040570","https://openalex.org/W2902367439","https://openalex.org/W2940955091","https://openalex.org/W2941413327","https://openalex.org/W2963035940","https://openalex.org/W2964014730","https://openalex.org/W2964167524","https://openalex.org/W2964209782","https://openalex.org/W2972555443","https://openalex.org/W2975405856","https://openalex.org/W2999458807","https://openalex.org/W3005144376","https://openalex.org/W3044470697","https://openalex.org/W3088500069","https://openalex.org/W3090239664","https://openalex.org/W3090570122","https://openalex.org/W3111255625","https://openalex.org/W3113709721","https://openalex.org/W3126965823","https://openalex.org/W3138953622","https://openalex.org/W3150864706","https://openalex.org/W3157130577","https://openalex.org/W3158766448","https://openalex.org/W3159000416","https://openalex.org/W3159713352","https://openalex.org/W3162367524","https://openalex.org/W3169202219","https://openalex.org/W4200399832","https://openalex.org/W4212996448","https://openalex.org/W6681368121","https://openalex.org/W6773469364","https://openalex.org/W6783867966"],"related_works":["https://openalex.org/W1555506539","https://openalex.org/W2408699127","https://openalex.org/W348661172","https://openalex.org/W653019464","https://openalex.org/W2077952221","https://openalex.org/W2580460863","https://openalex.org/W1555079265","https://openalex.org/W4392252250","https://openalex.org/W2038364036","https://openalex.org/W2476004930"],"abstract_inverted_index":{"With":[0],"the":[1,11,24,40,50,56,60,65,103,159,170,184],"rapid":[2,12],"growth":[3],"of":[4,14,53,67,152],"population,":[5],"more":[6,21,61],"diverse":[7],"crowd":[8,106,121,134,153],"activities,":[9],"and":[10,29,59,98,108,137,155,190],"development":[13],"socialization":[15],"process,":[16],"group":[17,31,57,68,77,95,99,139,194],"scenes":[18],"are":[19],"becoming":[20],"common,":[22],"so":[23,165],"demand":[25],"for":[26],"modeling,":[27],"analyzing,":[28],"understanding":[30],"behavior":[32,69,78,100,122,140],"data":[33],"in":[34,55,70,90,102],"video":[35,44,58,71,138],"is":[36,88],"increasing.":[37],"Compared":[38],"with":[39],"previous":[41],"work":[42],"on":[43,83,112,126,179],"content":[45],"analysis,":[46],"factors":[47],"such":[48],"as":[49,166],"increasing":[51],"number":[52],"people":[54],"complex":[62],"scene":[63],"make":[64],"analysis":[66,97,123,136],"face":[72],"great":[73],"challenges.":[74],"Therefore,":[75],"a":[76,120],"pattern":[79],"recognition":[80,101],"algorithm":[81],"based":[82,111,125],"spatio-temporal":[84,150,161],"graph":[85],"convolutional":[86],"network":[87,163],"proposed":[89,185],"this":[91,144],"paper,":[92],"aiming":[93],"at":[94],"density":[96,113,127,135,156],"video.":[104],"A":[105],"detection":[107],"location":[109],"method":[110,124,186],"map":[114,162],"regression-guided":[115],"classification":[116],"was":[117,130],"designed.":[118],"Finally,":[119],"grade":[128],"division":[129],"designed":[131],"to":[132,148,167],"complete":[133],"detection.":[141],"In":[142],"addition,":[143],"paper":[145],"also":[146],"proposes":[147],"extract":[149],"features":[151],"posture":[154],"by":[157],"using":[158],"double-flow":[160],"model,":[164],"effectively":[168,192],"capture":[169],"differentiated":[171],"movement":[172],"information":[173],"among":[174],"different":[175],"groups.":[176],"Experimental":[177],"results":[178],"public":[180],"datasets":[181],"show":[182],"that":[183],"has":[187],"high":[188],"accuracy":[189],"can":[191],"predict":[193],"behavior.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}