{"id":"https://openalex.org/W2469436472","doi":"https://doi.org/10.1145/2945078.2945125","title":"VisLoiter","display_name":"VisLoiter","publication_year":2016,"publication_date":"2016-07-08","ids":{"openalex":"https://openalex.org/W2469436472","doi":"https://doi.org/10.1145/2945078.2945125","mag":"2469436472"},"language":"en","primary_location":{"id":"doi:10.1145/2945078.2945125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2945078.2945125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2016 Posters","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/A5079797505","display_name":"Jianquan Liu","orcid":"https://orcid.org/0000-0003-4303-9020"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jianquan Liu","raw_affiliation_strings":["NEC Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NEC Corporation, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043621115","display_name":"Shoji Nishimura","orcid":"https://orcid.org/0000-0001-5975-2002"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoji Nishimura","raw_affiliation_strings":["NEC Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NEC Corporation, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109538488","display_name":"Takuya Araki","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Araki","raw_affiliation_strings":["NEC Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NEC Corporation, Japan","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079797505"],"corresponding_institution_ids":["https://openalex.org/I118347220"],"apc_list":null,"apc_paid":null,"fwci":0.8666,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80427831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.991599977016449,"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":0.9887999892234802,"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":0.8051910996437073},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7427325248718262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6505271196365356},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5929449200630188},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.561761200428009},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5513944625854492},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5469130277633667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8051910996437073},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7427325248718262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6505271196365356},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5929449200630188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.561761200428009},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5513944625854492},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5469130277633667},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2945078.2945125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2945078.2945125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2016 Posters","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2034899024","https://openalex.org/W2118420726","https://openalex.org/W2172248449","https://openalex.org/W2210900744","https://openalex.org/W2485733032","https://openalex.org/W4254139164"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2084086966","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2070401501","https://openalex.org/W2158788032"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,18,110,122,130,171],"system":[4],"for":[5,77,109,180],"visualizing":[6],"the":[7,74,117,154,159,163,166,182,189,198,205],"results":[8],"of":[9,49,73,119,153,161,168,176,185,192,194,201],"loitering":[10,16,59,79,104,139,186],"discovery":[11,140],"in":[12,68,81],"surveillance":[13],"videos.":[14],"Since":[15],"is":[17,71,100],"suspicious":[19],"behaviour":[20],"that":[21],"often":[22],"leads":[23],"to":[24,55,102],"abnormal":[25],"situations,":[26],"such":[27,92],"as":[28],"pickpocketing,":[29],"its":[30],"analysis":[31],"attracts":[32],"attention":[33],"from":[34,146],"researchers":[35],"[Bird":[36],"et":[37,41,45],"al.":[38,42,46],"2005;":[39],"Ke":[40],"2013;":[43],"A.":[44],"2015].":[47],"Most":[48],"them":[50],"mainly":[51],"focus":[52],"on":[53,88,142],"how":[54],"detect":[56],"or":[57,113],"identify":[58],"individuals":[60],"by":[61],"human":[62],"tracking":[63,86],"techniques.":[64],"A":[65],"robust":[66],"approach":[67],"[Nam":[69],"2015]":[70],"one":[72],"state-of-theart":[75],"methods":[76,94],"detecting":[78],"persons":[80],"crowded":[82],"scenes":[83],"using":[84],"pedestrian":[85],"based":[87,141],"spatio-temporal":[89],"changes.":[90],"However,":[91],"tracking-based":[93,155],"are":[95],"quite":[96],"time-consuming.":[97],"Therefore,":[98],"it":[99],"hard":[101],"apply":[103],"detection":[105],"across":[106,149],"multiple":[107,150],"cameras":[108],"long":[111],"time,":[112],"take":[114],"into":[115],"account":[116],"visualization":[118,167,174],"loiterers":[120,169],"at":[121,170],"glance.":[123,172],"To":[124],"solve":[125],"this":[126],"problem,":[127],"we":[128],"propose":[129],"system,":[131],"named":[132],"VisLoiter":[133,164],"(Figure":[134],"1),":[135],"which":[136],"enables":[137],"efficient":[138],"face":[143],"features":[144],"extracted":[145],"longtime":[147],"videos":[148],"cameras,":[151],"instead":[152],"manner.":[156],"By":[157],"taking":[158],"advantage":[160],"efficiency,":[162],"realizes":[165],"The":[173],"consists":[175],"three":[177],"display":[178],"components":[179],"(1)":[181],"appearance":[183],"patterns":[184],"individuals,":[187],"(2)":[188],"frequency":[190],"ranking":[191],"faces":[193],"loiterers,":[195],"and":[196,214],"(3)":[197],"lightweight":[199],"playback":[200],"video":[202],"clips":[203],"where":[204],"discovered":[206],"loiterer":[207],"frequently":[208],"appeared":[209],"(see":[210],"Figure":[211],"1":[212],"(b)":[213],"(c)).":[215]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-07-22T00:00:00"}