{"id":"https://openalex.org/W2134298131","doi":"https://doi.org/10.1109/icpr.2008.4761478","title":"Tracking a firefly -a stable likelihood estimation for variable appearance object tracking-","display_name":"Tracking a firefly -a stable likelihood estimation for variable appearance object tracking-","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2134298131","doi":"https://doi.org/10.1109/icpr.2008.4761478","mag":"2134298131"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761478","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5111542259","display_name":"Yoshihiko Tsukamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I75198481","display_name":"Wakayama University","ror":"https://ror.org/05wr49d48","country_code":"JP","type":"education","lineage":["https://openalex.org/I75198481"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yoshihiko Tsukamoto","raw_affiliation_strings":["Wakayama University","Wakayama University, Wakayama"],"affiliations":[{"raw_affiliation_string":"Wakayama University","institution_ids":["https://openalex.org/I75198481"]},{"raw_affiliation_string":"Wakayama University, Wakayama","institution_ids":["https://openalex.org/I75198481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006249981","display_name":"Yusuke Matsumoto","orcid":"https://orcid.org/0000-0003-3500-2279"},"institutions":[{"id":"https://openalex.org/I75198481","display_name":"Wakayama University","ror":"https://ror.org/05wr49d48","country_code":"JP","type":"education","lineage":["https://openalex.org/I75198481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Matsumoto","raw_affiliation_strings":["Wakayama University","Wakayama University, Wakayama"],"affiliations":[{"raw_affiliation_string":"Wakayama University","institution_ids":["https://openalex.org/I75198481"]},{"raw_affiliation_string":"Wakayama University, Wakayama","institution_ids":["https://openalex.org/I75198481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112614625","display_name":"Toshikazu Wada","orcid":null},"institutions":[{"id":"https://openalex.org/I75198481","display_name":"Wakayama University","ror":"https://ror.org/05wr49d48","country_code":"JP","type":"education","lineage":["https://openalex.org/I75198481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshikazu Wada","raw_affiliation_strings":["Wakayama University","Wakayama University, Wakayama"],"affiliations":[{"raw_affiliation_string":"Wakayama University","institution_ids":["https://openalex.org/I75198481"]},{"raw_affiliation_string":"Wakayama University, Wakayama","institution_ids":["https://openalex.org/I75198481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111542259"],"corresponding_institution_ids":["https://openalex.org/I75198481"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17558887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976999759674072,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5916140079498291},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5799736380577087},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5281091928482056},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4934479296207428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4874122440814972},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.48146453499794006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46568384766578674},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4349229633808136},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4251537024974823},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4238150119781494},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4139041602611542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3771864175796509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3745516538619995},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27402418851852417},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1543271243572235}],"concepts":[{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5916140079498291},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5799736380577087},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5281091928482056},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4934479296207428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4874122440814972},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.48146453499794006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46568384766578674},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4349229633808136},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4251537024974823},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4238150119781494},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4139041602611542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3771864175796509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3745516538619995},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27402418851852417},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1543271243572235},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2008.4761478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761478","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.2340","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.2340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/TuAT9.10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1533614607","https://openalex.org/W1910898529","https://openalex.org/W2113926057","https://openalex.org/W2120286803","https://openalex.org/W2122675580","https://openalex.org/W2147953023","https://openalex.org/W2154496665","https://openalex.org/W2161406034","https://openalex.org/W6632023624","https://openalex.org/W6640096618","https://openalex.org/W6678122694","https://openalex.org/W6682042711"],"related_works":["https://openalex.org/W2015530857","https://openalex.org/W2556064263","https://openalex.org/W1991846142","https://openalex.org/W1583020711","https://openalex.org/W4252024964","https://openalex.org/W4253883008","https://openalex.org/W1994458110","https://openalex.org/W2100525497","https://openalex.org/W2370409284","https://openalex.org/W1982370455"],"abstract_inverted_index":{"The":[0],"particle":[1,67],"filter":[2,68],"estimates":[3,75],"a":[4,36,54,57,66,70,76],"probability":[5],"distribution":[6],"of":[7,81,111],"target":[8],"objectpsilas":[9],"state":[10,32,78,88],"by":[11],"sampled":[12],"hypotheses":[13],"and":[14,97,100,125,140],"their":[15],"weights.":[16],"This":[17],"method":[18,24,41,85],"is":[19,33,114,130,143],"more":[20],"expressive":[21],"than":[22],"existing":[23],"such":[25],"as":[26,35],"Kalman":[27],"filtering,":[28],"because":[29],"the":[30,40,87,105,109,117,122,126,138,147,160],"object":[31,50,95],"represented":[34],"multi-modal":[37],"distribution.":[38],"However,":[39],"canpsilat":[42],"be":[43],"directly":[44],"applied":[45],"to":[46],"temporally":[47],"variable":[48,71],"appearance":[49,72,106],"tracking,":[51],"for":[52,69],"example,":[53],"firefly":[55,158],"or":[56],"flickering":[58],"neon-sign.":[59],"For":[60],"solving":[61],"this":[62,134],"problem,":[63],"we":[64,153],"propose":[65],"object,":[73],"which":[74],"unique":[77],"parameter":[79,92,102,107,129,148],"independent":[80],"targetpsilas":[82],"position.":[83],"Our":[84],"decomposes":[86],"space":[89,99,142],"into":[90],"disjoint":[91],"spaces,":[93,152],"i.e.,":[94],"position":[96,118,139],"posture":[98,141],"Appearance":[101],"space.":[103],"In":[104],"space,":[108,124],"likelihood":[110,136],"each":[112],"hypothesis":[113],"evaluated":[115],"at":[116],"parameters":[119],"generated":[120],"in":[121,137,150,159],"other":[123],"best":[127],"explain":[128],"determined.":[131],"Based":[132],"on":[133],"parameter,":[135],"evaluated.":[144],"By":[145],"interacting":[146],"estimations":[149],"different":[151],"can":[154],"successfully":[155],"track":[156],"blinking":[157],"darkness.":[161]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
