{"id":"https://openalex.org/W1992114272","doi":"https://doi.org/10.1109/iccvw.2011.6130351","title":"Spatiotemporally localized new event detection in crowds","display_name":"Spatiotemporally localized new event detection in crowds","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W1992114272","doi":"https://doi.org/10.1109/iccvw.2011.6130351","mag":"1992114272"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2011.6130351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","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/A5039798361","display_name":"Alexia Briassouli","orcid":"https://orcid.org/0000-0002-0545-3215"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Alexia Briassouli","raw_affiliation_strings":["Informatics and Telematics Institute, Thessaloniki, Greece","Informatics and Telematics Institute, 6th km Charilaou Thermis, 57001, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Informatics and Telematics Institute, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649"]},{"raw_affiliation_string":"Informatics and Telematics Institute, 6th km Charilaou Thermis, 57001, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084122016","display_name":"Ioannis Kompatsiaris","orcid":"https://orcid.org/0000-0001-6447-9020"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Kompatsiaris","raw_affiliation_strings":["Informatics and Telematics Institute, Thessaloniki, Greece","Informatics and Telematics Institute, 6th km Charilaou Thermis, 57001, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Informatics and Telematics Institute, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649"]},{"raw_affiliation_string":"Informatics and Telematics Institute, 6th km Charilaou Thermis, 57001, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039798361"],"corresponding_institution_ids":["https://openalex.org/I4210093649"],"apc_list":null,"apc_paid":null,"fwci":2.6415,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.90349519,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"928","last_page":"933"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973000288009644,"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/crowds","display_name":"Crowds","score":0.9727960228919983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.807470440864563},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7372139692306519},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5814406871795654},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5067482590675354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5018045902252197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49892711639404297},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4157063663005829},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1150546669960022},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06904268264770508}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.9727960228919983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.807470440864563},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7372139692306519},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5814406871795654},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5067482590675354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5018045902252197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49892711639404297},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4157063663005829},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1150546669960022},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06904268264770508},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccvw.2011.6130351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.300.2009","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.2009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mklab.iti.gr/mklab_people/~abria/Crowds_events_ICCV2011.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W17361091","https://openalex.org/W1597046875","https://openalex.org/W1978799052","https://openalex.org/W1983587622","https://openalex.org/W2032488278","https://openalex.org/W2051903196","https://openalex.org/W2096087251","https://openalex.org/W2096229530","https://openalex.org/W2101345824","https://openalex.org/W2107448204","https://openalex.org/W2108404684","https://openalex.org/W2117734404","https://openalex.org/W2121274305","https://openalex.org/W2124658620","https://openalex.org/W2125105611","https://openalex.org/W2139595964","https://openalex.org/W2158879235","https://openalex.org/W2162616721","https://openalex.org/W2164261375","https://openalex.org/W2164489414","https://openalex.org/W2167052694","https://openalex.org/W2169536486","https://openalex.org/W3105670021","https://openalex.org/W4249116379","https://openalex.org/W4285719527","https://openalex.org/W6678780061","https://openalex.org/W6680607727","https://openalex.org/W6786020840"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"The":[0,84],"behavior":[1],"of":[2,5,18,25,42,57,149],"crowds":[3,47],"is":[4,53],"interest":[6],"in":[7,28,46,60,102,124],"many":[8],"applications,":[9],"but":[10],"difficult":[11],"to":[12,15,66,74],"analyze":[13],"due":[14],"the":[16,19,23,29,40,58,61,106,112,116],"complexity":[17],"activities":[20],"taking":[21],"place,":[22],"number":[24],"people":[26],"moving":[27],"scene":[30],"and":[31,69,138],"occlusions":[32],"occurring":[33],"between":[34],"them.":[35,103],"This":[36],"work":[37],"focuses":[38],"on":[39,55,105],"problem":[41],"detecting":[43,125],"new":[44,126],"events":[45,101,143],"using":[48],"an":[49],"original":[50],"approach":[51,114],"that":[52,72,111],"based":[54],"properties":[56],"data":[59,79],"Fourier":[62],"domain,":[63],"which":[64],"leads":[65],"computationally":[67],"effective":[68],"fast":[70],"solutions":[71],"lead":[73],"accurate":[75,136],"results":[76,120],"without":[77],"requiring":[78,129],"modeling":[80],"or":[81,118],"extensive":[82],"training.":[83],"PETS2009":[85],"dataset":[86,109],"has":[87],"been":[88],"used":[89],"for":[90,94,135],"benchmarking":[91],"algorithms":[92],"developed":[93],"analyzing":[95],"crowd":[96],"behavior,":[97],"such":[98],"as":[99,147],"recognizing":[100],"Experiments":[104],"PETS":[107],"2009":[108],"show":[110],"proposed":[113,146],"achieves":[115],"same":[117],"better":[119],"than":[121],"existing":[122],"techniques":[123],"events,":[127],"while":[128],"almost":[130],"no":[131],"training":[132],"samples.":[133],"Extensions":[134],"recognition":[137],"dealing":[139],"with":[140],"more":[141],"complex":[142],"are":[144],"also":[145],"areas":[148],"future":[150],"research.":[151]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
