{"id":"https://openalex.org/W2944264354","doi":"https://doi.org/10.1109/isivc.2018.8709192","title":"Abnormal Crowd Behavior Detection Using Speed and Direction Models","display_name":"Abnormal Crowd Behavior Detection Using Speed and Direction Models","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2944264354","doi":"https://doi.org/10.1109/isivc.2018.8709192","mag":"2944264354"},"language":"en","primary_location":{"id":"doi:10.1109/isivc.2018.8709192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isivc.2018.8709192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC)","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/A5084859955","display_name":"Abdelghaffar CHIBLOUN","orcid":null},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Abdelghaffar CHIBLOUN","raw_affiliation_strings":["IRDA Team, ADMIR Lab, Mohammed V University in Rabat, Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"IRDA Team, ADMIR Lab, Mohammed V University in Rabat, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073155664","display_name":"Sanaa El Fkihi","orcid":"https://orcid.org/0000-0002-5255-4406"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Sanaa EL FKIHI","raw_affiliation_strings":["IRDA Team, ADMIR Lab, Mohammed V University in Rabat, Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"IRDA Team, ADMIR Lab, Mohammed V University in Rabat, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020436102","display_name":"Hazar Mliki","orcid":"https://orcid.org/0000-0002-0285-0944"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hazar MLIKI","raw_affiliation_strings":["MIRACL-ENETCOM, University of Sfax, Sfax, 3018, Tunisia"],"affiliations":[{"raw_affiliation_string":"MIRACL-ENETCOM, University of Sfax, Sfax, 3018, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083219723","display_name":"Mohamed Hammami","orcid":"https://orcid.org/0000-0003-3580-0473"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed HAMMAMI","raw_affiliation_strings":["MIRACL-FSS, University of Sfax, Sfax, 3018, Tunisia"],"affiliations":[{"raw_affiliation_string":"MIRACL-FSS, University of Sfax, Sfax, 3018, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037074197","display_name":"Rachid Oulad Haj Thami","orcid":"https://orcid.org/0000-0001-9736-7260"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Rachid OULAD HAJ THAMI","raw_affiliation_strings":["IRDA Team, ADMIR Lab, Mohammed V University in Rabat, Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"IRDA Team, ADMIR Lab, Mohammed V University in Rabat, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084859955"],"corresponding_institution_ids":["https://openalex.org/I126477371"],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78145055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"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":0.9987000226974487,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/crowds","display_name":"Crowds","score":0.8390758037567139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7294855117797852},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6160929799079895},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5946572422981262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5786644220352173},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5634783506393433},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.553167998790741},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5511667728424072},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5318562388420105},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5307835340499878},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.486388236284256},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4761885702610016},{"id":"https://openalex.org/keywords/crowd-simulation","display_name":"Crowd simulation","score":0.4748518764972687},{"id":"https://openalex.org/keywords/crowd-psychology","display_name":"Crowd psychology","score":0.47175177931785583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4610508978366852},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.413351833820343},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3245849013328552},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.21291634440422058},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20320552587509155},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12273937463760376},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.10167476534843445}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.8390758037567139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294855117797852},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6160929799079895},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5946572422981262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5786644220352173},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5634783506393433},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.553167998790741},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5511667728424072},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5318562388420105},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5307835340499878},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.486388236284256},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4761885702610016},{"id":"https://openalex.org/C45617602","wikidata":"https://www.wikidata.org/wiki/Q465266","display_name":"Crowd simulation","level":3,"score":0.4748518764972687},{"id":"https://openalex.org/C44042526","wikidata":"https://www.wikidata.org/wiki/Q1355183","display_name":"Crowd psychology","level":2,"score":0.47175177931785583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4610508978366852},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.413351833820343},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3245849013328552},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.21291634440422058},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20320552587509155},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12273937463760376},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.10167476534843445},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isivc.2018.8709192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isivc.2018.8709192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1886885333","https://openalex.org/W2036534826","https://openalex.org/W2047617665","https://openalex.org/W2049633694","https://openalex.org/W2065994824","https://openalex.org/W2079023123","https://openalex.org/W2104035322","https://openalex.org/W2108404684","https://openalex.org/W2109389234","https://openalex.org/W2118877769","https://openalex.org/W2125095437","https://openalex.org/W2149021215","https://openalex.org/W2600200270","https://openalex.org/W2752383117","https://openalex.org/W2795424657","https://openalex.org/W3110683067","https://openalex.org/W6677548441","https://openalex.org/W6678706630","https://openalex.org/W6786768871"],"related_works":["https://openalex.org/W2189920449","https://openalex.org/W3096912411","https://openalex.org/W3043995842","https://openalex.org/W2077952221","https://openalex.org/W135395861","https://openalex.org/W2218711042","https://openalex.org/W2036586770","https://openalex.org/W2314427365","https://openalex.org/W172068003","https://openalex.org/W1970206276"],"abstract_inverted_index":{"This":[0,88],"paper":[1],"presents":[2],"a":[3,12,49,62,78],"novel":[4],"method":[5,121],"to":[6,27,38,69,93,113],"detect":[7],"unusual":[8],"crowd":[9,98,128],"behavior":[10],"in":[11,96],"video":[13],"sequence":[14],"using":[15,83,105],"probability":[16,86],"models":[17],"of":[18,52,59,65,80,85,116],"speeds":[19],"and":[20,40,61],"directions.":[21],"Thus,":[22],"optical":[23],"flow":[24],"is":[25,75,90,109],"used":[26,92],"extract":[28],"velocities":[29],"at":[30],"each":[31],"image":[32],"frame,":[33],"which":[34],"are":[35],"then":[36,91],"reduced":[37],"speed":[39,71,102],"motion":[41],"orientations.":[42],"Using":[43],"expectation":[44],"maximization":[45],"algorithm,":[46],"we":[47],"construct":[48],"mixture":[50,63],"model":[51,64,108],"von":[53],"Mises":[54],"distribution":[55,67],"describing":[56],"the":[57,70,97,101,106,114],"set":[58],"directions,":[60],"normal":[66],"related":[68],"set.":[72],"Each":[73],"frame":[74],"compared":[76],"with":[77],"collection":[79],"reference":[81],"frames":[82],"distance":[84,89],"densities.":[87],"indicate":[94],"changes":[95],"motion.":[99],"Unlike":[100],"based":[103],"detection,":[104],"direction":[107],"not":[110],"yet":[111],"adapted":[112],"case":[115],"unstructured":[117],"crowds.":[118],"The":[119],"proposed":[120],"was":[122],"tested":[123],"on":[124],"various":[125],"publicly":[126],"available":[127],"datasets.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}