{"id":"https://openalex.org/W2148277713","doi":"https://doi.org/10.1109/icpr.2002.1048379","title":"Robust event detection by radial reach filter (RRF)","display_name":"Robust event detection by radial reach filter (RRF)","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2148277713","doi":"https://doi.org/10.1109/icpr.2002.1048379","mag":"2148277713"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1048379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5043995369","display_name":"Yutaka Satoh","orcid":"https://orcid.org/0000-0002-0638-0855"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Y. Satoh","raw_affiliation_strings":["HOIP, Softopia, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HOIP, Softopia, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062616549","display_name":"Hideki Tanahashi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Tanahashi","raw_affiliation_strings":["HOIP, Softopia, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HOIP, Softopia, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043206822","display_name":"Caihua Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Caihua Wang","raw_affiliation_strings":["HOIP, Softopia, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HOIP, Softopia, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112051753","display_name":"Shogo Kaneko","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Kaneko","raw_affiliation_strings":["Faculty of Engineering, Hokkaido University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Hokkaido University, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039830492","display_name":"Y. Niwa","orcid":"https://orcid.org/0000-0001-5808-5594"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Y. Niwa","raw_affiliation_strings":["HOIP, Softopia, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HOIP, Softopia, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075284186","display_name":"Kazuhiko Yamamoto","orcid":"https://orcid.org/0000-0001-9037-3625"},"institutions":[{"id":"https://openalex.org/I42405503","display_name":"Gifu University","ror":"https://ror.org/024exxj48","country_code":"JP","type":"education","lineage":["https://openalex.org/I42405503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Yamamoto","raw_affiliation_strings":["Faculty of Engineering, Gifu University Yanagido, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Gifu University Yanagido, Japan","institution_ids":["https://openalex.org/I42405503"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6953,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.90908765,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"623","last_page":"626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9979000091552734,"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":0.9979000091552734,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.8027700185775757},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7849370837211609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7347500920295715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.704913318157196},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5730335712432861},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.550798237323761},{"id":"https://openalex.org/keywords/background-image","display_name":"Background image","score":0.49133339524269104},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4575589597225189},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43860673904418945},{"id":"https://openalex.org/keywords/image-subtraction","display_name":"Image subtraction","score":0.4207150936126709},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.4191688895225525},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.38325756788253784},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.24195489287376404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22170183062553406},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.0736544132232666},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07189765572547913}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.8027700185775757},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7849370837211609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7347500920295715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704913318157196},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5730335712432861},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.550798237323761},{"id":"https://openalex.org/C3019635856","wikidata":"https://www.wikidata.org/wiki/Q1619726","display_name":"Background image","level":3,"score":0.49133339524269104},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4575589597225189},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43860673904418945},{"id":"https://openalex.org/C37672646","wikidata":"https://www.wikidata.org/wiki/Q6002283","display_name":"Image subtraction","level":5,"score":0.4207150936126709},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.4191688895225525},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.38325756788253784},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.24195489287376404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22170183062553406},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.0736544132232666},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07189765572547913},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1048379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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":5,"referenced_works":["https://openalex.org/W2007977078","https://openalex.org/W2102625004","https://openalex.org/W2140235142","https://openalex.org/W2150797211","https://openalex.org/W2158012467"],"related_works":["https://openalex.org/W2013855924","https://openalex.org/W1975008161","https://openalex.org/W4251986860","https://openalex.org/W2002094820","https://openalex.org/W1934883969","https://openalex.org/W2375321927","https://openalex.org/W2381380858","https://openalex.org/W2711921055","https://openalex.org/W2022276948","https://openalex.org/W2010623741"],"abstract_inverted_index":{"We":[0],"propose":[1,90],"a":[2,23,51,74,95,122],"novel":[3],"statistical":[4],"measure":[5],"for":[6],"robust":[7,100],"event":[8,101],"detection,":[9],"called":[10],"'Radial":[11],"Reach":[12],"filter'":[13],"(RRF).":[14],"The":[15,33],"capability":[16],"of":[17,30,36,110,130],"detecting":[18,37],"new":[19,38],"objects":[20,39],"(events)":[21],"from":[22,50,121],"time-series":[24],"image":[25,49,120],"is":[26,40,45,58,76],"an":[27,115,118,133],"important":[28],"problem":[29],"vision":[31],"systems.":[32],"usual":[34],"method":[35],"simple":[41,55],"background":[42,52,56,75],"subtraction,":[43],"that":[44],"to":[46,60,85,132],"subtract":[47],"current":[48],"image.":[53],"However,":[54],"subtraction":[57],"susceptible":[59],"illumination":[61],"change":[62],"such":[63,87],"as":[64],"shadows.":[65],"Moreover,":[66],"when":[67],"the":[68,81,91,108,111,128],"brightness":[69],"difference":[70],"between":[71],"events":[72],"and":[73,98],"small,":[77],"it":[78],"cannot":[79],"detect":[80],"difference.":[82],"In":[83],"order":[84],"solve":[86],"problems,":[88],"we":[89],"RRF":[92],"which":[93],"evaluates":[94],"local":[96],"texture":[97],"realizes":[99],"detection.":[102],"Experiments":[103],"using":[104,117],"real":[105],"images":[106],"show":[107],"effectiveness":[109],"proposed":[112],"methods.":[113],"Furthermore,":[114],"experiment":[116],"all-directional":[119],"stereo":[123],"omni-directional":[124],"system":[125],"(SOS)":[126],"shows":[127],"possibility":[129],"application":[131],"environment-monitoring":[134],"system.":[135]},"counts_by_year":[{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
