{"id":"https://openalex.org/W4388408995","doi":"https://doi.org/10.1109/dsaa60987.2023.10302629","title":"CRIMEO: Criminal Behavioral Patterns Mining and Extraction from Video Contents","display_name":"CRIMEO: Criminal Behavioral Patterns Mining and Extraction from Video Contents","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4388408995","doi":"https://doi.org/10.1109/dsaa60987.2023.10302629"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa60987.2023.10302629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa60987.2023.10302629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)","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/A5031417142","display_name":"Raed Abdallah","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Raed Abdallah","raw_affiliation_strings":["LIPADE, Universit&#x00E8; de Paris,Paris,France"],"affiliations":[{"raw_affiliation_string":"LIPADE, Universit&#x00E8; de Paris,Paris,France","institution_ids":["https://openalex.org/I4210159731"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005132068","display_name":"Hassan Harb","orcid":"https://orcid.org/0000-0003-3066-9189"},"institutions":[{"id":"https://openalex.org/I2803079837","display_name":"American University of the Middle East","ror":"https://ror.org/02gqgne03","country_code":"KW","type":"education","lineage":["https://openalex.org/I2803079837"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Hassan Harb","raw_affiliation_strings":["American University of the Middle East,College of Engineering and Technology,Kuwait","College of Engineering and Technology, American University of the Middle East, Kuwait"],"affiliations":[{"raw_affiliation_string":"American University of the Middle East,College of Engineering and Technology,Kuwait","institution_ids":["https://openalex.org/I2803079837"]},{"raw_affiliation_string":"College of Engineering and Technology, American University of the Middle East, Kuwait","institution_ids":["https://openalex.org/I2803079837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034427778","display_name":"Y\u00e9hia Taher","orcid":"https://orcid.org/0000-0002-8706-8889"},"institutions":[{"id":"https://openalex.org/I195731000","display_name":"Universit\u00e9 de Versailles Saint-Quentin-en-Yvelines","ror":"https://ror.org/03mkjjy25","country_code":"FR","type":"education","lineage":["https://openalex.org/I195731000","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4390039268","display_name":"Donn\u00e9es et algorithmes pour une ville intelligente et durable","ror":"https://ror.org/01xta2p78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039268"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yehia Taher","raw_affiliation_strings":["UVSQ - Universit&#x00E8; Paris-Saclay,DAVID Lab,Versailles,France"],"affiliations":[{"raw_affiliation_string":"UVSQ - Universit&#x00E8; Paris-Saclay,DAVID Lab,Versailles,France","institution_ids":["https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073280092","display_name":"Salima Benbernou","orcid":"https://orcid.org/0000-0001-5687-8152"},"institutions":[{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Salima Benbernou","raw_affiliation_strings":["LIPADE, Universit&#x00E8; de Paris,Paris,France"],"affiliations":[{"raw_affiliation_string":"LIPADE, Universit&#x00E8; de Paris,Paris,France","institution_ids":["https://openalex.org/I4210159731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041218480","display_name":"Rafiqul Haque","orcid":"https://orcid.org/0000-0001-5705-3427"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rafiqul Haque","raw_affiliation_strings":["Intelligencia,R&#x0026;D department,Paris,France"],"affiliations":[{"raw_affiliation_string":"Intelligencia,R&#x0026;D department,Paris,France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031417142"],"corresponding_institution_ids":["https://openalex.org/I4210159731"],"apc_list":null,"apc_paid":null,"fwci":0.8741,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79305747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"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":0.9987000226974487,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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":0.7382264137268066},{"id":"https://openalex.org/keywords/law-enforcement","display_name":"Law enforcement","score":0.6499996185302734},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5907595753669739},{"id":"https://openalex.org/keywords/video-content-analysis","display_name":"Video content analysis","score":0.5390228033065796},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.45915547013282776},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4537220299243927},{"id":"https://openalex.org/keywords/criminal-investigation","display_name":"Criminal investigation","score":0.42129766941070557},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4119621813297272},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3927704989910126},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.34579038619995117},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.33317768573760986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2819273769855499},{"id":"https://openalex.org/keywords/criminology","display_name":"Criminology","score":0.1001584529876709}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7382264137268066},{"id":"https://openalex.org/C2780262971","wikidata":"https://www.wikidata.org/wiki/Q44554","display_name":"Law enforcement","level":2,"score":0.6499996185302734},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5907595753669739},{"id":"https://openalex.org/C2778598663","wikidata":"https://www.wikidata.org/wiki/Q1407599","display_name":"Video content analysis","level":4,"score":0.5390228033065796},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.45915547013282776},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4537220299243927},{"id":"https://openalex.org/C117660856","wikidata":"https://www.wikidata.org/wiki/Q1964968","display_name":"Criminal investigation","level":2,"score":0.42129766941070557},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4119621813297272},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3927704989910126},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.34579038619995117},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33317768573760986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2819273769855499},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.1001584529876709},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa60987.2023.10302629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa60987.2023.10302629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W332187477","https://openalex.org/W2755750419","https://openalex.org/W2785839634","https://openalex.org/W2925274337","https://openalex.org/W3177505580","https://openalex.org/W4200427758","https://openalex.org/W4220710559","https://openalex.org/W4225261310","https://openalex.org/W4225575586","https://openalex.org/W4313445324","https://openalex.org/W4317039758","https://openalex.org/W6760910376"],"related_works":["https://openalex.org/W2022551391","https://openalex.org/W3123529365","https://openalex.org/W2574925464","https://openalex.org/W4230011431","https://openalex.org/W1904672382","https://openalex.org/W1986421537","https://openalex.org/W4295036387","https://openalex.org/W2077468687","https://openalex.org/W2966313861","https://openalex.org/W3048359651"],"abstract_inverted_index":{"The":[0,208],"security":[1,322],"and":[2,16,41,56,85,90,110,114,118,132,143,153,163,178,192,222,228,269,310,321],"well-being":[3],"of":[4,13,34,94,116,167,215,277,295],"a":[5,29,78,126,213],"nation\u2019s":[6],"citizens,":[7],"as":[8,10,37,77],"well":[9],"the":[11,66,181,198,202,235,245,250,256,275,281,293],"protection":[12],"their":[14,316,324],"lives":[15],"properties,":[17],"are":[18,241,265],"fundamental":[19],"for":[20,81,106,130],"prosperity.":[21],"Unfortunately,":[22],"in":[23,31,65,88,100,141,244,255,289,292],"recent":[24],"years,":[25],"we":[26,123,279],"have":[27,75],"witnessed":[28],"surge":[30],"various":[32,63,296],"types":[33,166],"crimes":[35],"such":[36],"murder,":[38],"robbery,":[39],"terrorism,":[40],"kidnapping.":[42],"This":[43,157],"has":[44],"placed":[45],"significant":[46,104],"pressure":[47],"on":[48],"Law":[49],"Enforcement":[50],"Agencies":[51],"(LEAs)":[52],"to":[53,61,148,160,197,230,267,318],"effectively":[54],"prevent":[55],"detect":[57,162,268],"crimes,":[58],"driving":[59],"them":[60],"adopt":[62],"technologies":[64],"criminal":[67,271],"investigation":[68,102],"process.":[69],"Among":[70],"these":[71],"technologies,":[72],"surveillance":[73,188],"systems":[74,189],"emerged":[76],"valuable":[79],"tool":[80],"monitoring":[82],"human":[83],"behaviors":[84],"activities,":[86],"particularly":[87],"public":[89],"densely":[91],"populated":[92],"areas":[93],"large":[95],"cities.":[96],"However,":[97],"video":[98,137,155,185,203,216,236,307],"analysis":[99,210,308],"crime":[101,297,312],"poses":[103],"challenges":[105],"LEAs,":[107],"requiring":[108],"accurate":[109],"timely":[111],"detection,":[112,225,313],"recognition,":[113,223,227],"tracking":[115],"objects":[117],"individuals.":[119],"Addressing":[120],"this":[121],"issue,":[122],"present":[124],"CRIMEO,":[125,278,301],"smart":[127],"system":[128,282],"designed":[129],"mining":[131],"extracting":[133],"behavioral":[134,232],"patterns":[135,233,240],"from":[136,187,234,305],"content.":[138,237],"CRIMEO":[139,169],"operates":[140],"real-time":[142,311],"leverages":[144],"an":[145],"ontology-based":[146],"approach":[147],"represent":[149],"complex":[150],"semantic":[151],"events":[152],"employ":[154],"analytics.":[156],"enables":[158],"LEAs":[159,291,302],"automatically":[161],"identify":[164],"different":[165],"crimes.":[168],"encompasses":[170],"four":[171],"key":[172],"phases:":[173],"data":[174,182,186,209,251],"collection,":[175],"analysis,":[176],"storage,":[177],"visualization.":[179],"In":[180],"collection":[183],"phase,":[184,258],"is":[190,204],"gathered":[191],"transmitted,":[193],"via":[194],"Apache":[195],"Kafka,":[196],"subsequent":[199],"phase":[200,211],"after":[201],"split":[205],"into":[206],"frames.":[207],"applies":[212],"range":[214],"analytics":[217],"techniques,":[218],"including":[219],"face":[220],"detection":[221,294],"object":[224],"action":[226],"more,":[229],"extract":[231],"These":[238],"extracted":[239],"then":[242],"stored":[243],"Neo4j":[246],"graph":[247],"database":[248],"during":[249],"storage":[252],"phase.":[253],"Finally,":[254],"visualization":[257],"inference":[259],"rules":[260],"defined":[261],"by":[262],"LEA":[263],"experts":[264],"applied":[266],"visualize":[270],"activities.":[272],"To":[273],"demonstrate":[274],"effectiveness":[276],"implemented":[280],"across":[283],"multiple":[284],"scenarios,":[285],"showcasing":[286],"its":[287],"relevance":[288],"aiding":[290],"types.":[298],"By":[299],"utilizing":[300],"can":[303],"benefit":[304],"advanced":[306],"capabilities":[309],"ultimately":[314],"enhancing":[315],"ability":[317],"maintain":[319],"safety":[320],"within":[323],"jurisdictions.":[325]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
