{"id":"https://openalex.org/W1516020355","doi":"https://doi.org/10.1109/icip.2013.6738824","title":"Mid-level feature set for specific event and anomaly detection in crowded scenes","display_name":"Mid-level feature set for specific event and anomaly detection in crowded scenes","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1516020355","doi":"https://doi.org/10.1109/icip.2013.6738824","mag":"1516020355"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10016/21587","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059025684","display_name":"E de-la-Calle-Silos","orcid":null},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"E de-la-Calle-Silos","raw_affiliation_strings":["Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain","Dept. of Signal Theor. & Commun., Univ. Carlos III, Legane\u0301s, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Dept. of Signal Theor. & Commun., Univ. Carlos III, Legane\u0301s, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016179376","display_name":"Iv\u00e1n Gonz\u00e1lez-D\u00edaz","orcid":"https://orcid.org/0000-0003-4644-8479"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"I. Gonz\u00e1lez-D\u00edaz","raw_affiliation_strings":["Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain","Dept. of Signal Theor. & Commun., Univ. Carlos III, Legane\u0301s, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Dept. of Signal Theor. & Commun., Univ. Carlos III, Legane\u0301s, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077061691","display_name":"Fernando D\u00edaz-de-Mar\u00eda","orcid":"https://orcid.org/0000-0002-6437-914X"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"E D\u00edaz-de-Mar\u00eda","raw_affiliation_strings":["Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain","Dept. of Signal Theor. & Commun., Univ. Carlos III, Legane\u0301s, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Dept. of Signal Theor. & Commun., Univ. Carlos III, Legane\u0301s, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9883,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81221718,"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":"4001","last_page":"4005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9921000003814697,"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/anomaly-detection","display_name":"Anomaly detection","score":0.773085355758667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7655007243156433},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6834568381309509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.639056384563446},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5991674661636353},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5827386975288391},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5467823147773743},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5109099745750427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5090653300285339},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4619612395763397},{"id":"https://openalex.org/keywords/parametrization","display_name":"Parametrization (atmospheric modeling)","score":0.4451262354850769},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.43309617042541504},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4288903772830963},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3451063632965088},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33074307441711426}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.773085355758667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7655007243156433},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6834568381309509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.639056384563446},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5991674661636353},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5827386975288391},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5467823147773743},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5109099745750427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5090653300285339},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4619612395763397},{"id":"https://openalex.org/C202887219","wikidata":"https://www.wikidata.org/wiki/Q3895221","display_name":"Parametrization (atmospheric modeling)","level":3,"score":0.4451262354850769},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.43309617042541504},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4288903772830963},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3451063632965088},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33074307441711426},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2013.6738824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:dnet:earchivo____::288844e26847bd3af86c99e3f8203fb4","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/21587","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"pmh:oai:dnet:earchivo____::288844e26847bd3af86c99e3f8203fb4","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/21587","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bookPart"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1515999713","https://openalex.org/W1983587622","https://openalex.org/W1992114272","https://openalex.org/W2043905695","https://openalex.org/W2085261163","https://openalex.org/W2102625004","https://openalex.org/W2127357397","https://openalex.org/W2140137670","https://openalex.org/W2156511806","https://openalex.org/W2161969291","https://openalex.org/W2164489414","https://openalex.org/W2170282673","https://openalex.org/W2534952216","https://openalex.org/W3105670021","https://openalex.org/W6680598823","https://openalex.org/W6683411478","https://openalex.org/W6786020840"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"In":[0,19],"this":[1],"paper":[2],"we":[3,21,65],"propose":[4],"a":[5,28],"system":[6],"for":[7,71,84,98,123,131],"automatic":[8,69],"detection":[9,88,92,101],"of":[10,30,40,63,120],"specific":[11,61],"events":[12,42,62],"and":[13,89,125],"abnormal":[14],"behaviors":[15],"in":[16,43],"crowded":[17],"scenes.":[18],"particular,":[20],"focus":[22],"on":[23,96],"the":[24,37,49,78,112],"parametrization":[25],"by":[26],"proposing":[27],"set":[29,81],"mid-level":[31],"spatio-temporal":[32],"features":[33,53],"that":[34,51,77,129],"successfully":[35,83],"model":[36,60],"characteristic":[38],"motion":[39],"typical":[41],"crowd":[44],"behaviors.":[45],"Furthermore,":[46],"due":[47],"to":[48,59,118],"fact":[50],"some":[52],"are":[54,102],"more":[55],"suitable":[56],"than":[57,105,128],"others":[58],"interest,":[64],"also":[66],"present":[67],"an":[68],"process":[70],"feature":[72,80],"selection.":[73],"Our":[74],"experiments":[75],"prove":[76],"suggested":[79],"works":[82],"both":[85],"explicit":[86,99],"event":[87,100],"distance-based":[90],"anomaly":[91,110],"tasks.":[93],"The":[94],"results":[95],"PETS":[97,124],"generally":[103],"better":[104,127],"those":[106,119],"previously":[107],"reported.":[108],"Regarding":[109],"detection,":[111],"proposed":[113],"method":[114,122],"performance":[115],"is":[116],"comparable":[117],"state-of-the-art":[121],"substantially":[126],"reported":[130],"Web":[132],"dataset.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}