{"id":"https://openalex.org/W2571152470","doi":"https://doi.org/10.1109/iecon.2016.7793355","title":"Object tracking system by integrating multi-sensored data","display_name":"Object tracking system by integrating multi-sensored data","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2571152470","doi":"https://doi.org/10.1109/iecon.2016.7793355","mag":"2571152470"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2016.7793355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2016.7793355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society","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/A5068472303","display_name":"Kouji Murakami","orcid":null},"institutions":[{"id":"https://openalex.org/I199028557","display_name":"Kyushu Sangyo University","ror":"https://ror.org/01wqrpc44","country_code":"JP","type":"education","lineage":["https://openalex.org/I199028557"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kouji Murakami","raw_affiliation_strings":["Faculty of Engineering, Kyushu Sangyo University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Kyushu Sangyo University, Fukuoka, Japan","institution_ids":["https://openalex.org/I199028557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010032030","display_name":"Tokuo Tsuji","orcid":"https://orcid.org/0000-0002-1573-1928"},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tokuo Tsuji","raw_affiliation_strings":["Institute of Science and Engineering, Kanazawa University, Ishikawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science and Engineering, Kanazawa University, Ishikawa, Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048493630","display_name":"Tsutomu Hasegawa","orcid":null},"institutions":[{"id":"https://openalex.org/I3018098410","display_name":"National Institute of Technology, Kumamoto College","ror":"https://ror.org/01c697313","country_code":"JP","type":"education","lineage":["https://openalex.org/I3018098410","https://openalex.org/I4210120810"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsutomu Hasegawa","raw_affiliation_strings":["Kumamoto College, National Institute of Technology, Kumamoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kumamoto College, National Institute of Technology, Kumamoto, Japan","institution_ids":["https://openalex.org/I3018098410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073445963","display_name":"Ryo Kurazume","orcid":"https://orcid.org/0000-0002-4219-7644"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Kurazume","raw_affiliation_strings":["Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.0436,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.98342627,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"747","last_page":"754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9962999820709229,"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/T13382","display_name":"Robotics and Automated Systems","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/object","display_name":"Object (grammar)","score":0.7557769417762756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7513313293457031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7311860918998718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6932531595230103},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5762278437614441},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5493237972259521},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5299488306045532},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5286415219306946},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.503361165523529},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.49739935994148254},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.48157668113708496},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.45732131600379944},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.44929683208465576},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4327070713043213},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.4236985743045807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2489389181137085},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.146243155002594},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12197232246398926}],"concepts":[{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7557769417762756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7513313293457031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311860918998718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6932531595230103},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5762278437614441},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5493237972259521},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5299488306045532},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5286415219306946},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.503361165523529},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.49739935994148254},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.48157668113708496},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.45732131600379944},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.44929683208465576},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4327070713043213},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.4236985743045807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2489389181137085},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.146243155002594},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12197232246398926},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2016.7793355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2016.7793355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society","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":10,"referenced_works":["https://openalex.org/W1522573321","https://openalex.org/W2025800131","https://openalex.org/W2085901245","https://openalex.org/W2104119965","https://openalex.org/W2121161399","https://openalex.org/W2125035226","https://openalex.org/W2132369047","https://openalex.org/W2158134137","https://openalex.org/W2159498975","https://openalex.org/W2160337655"],"related_works":["https://openalex.org/W2318603563","https://openalex.org/W2965594636","https://openalex.org/W887692824","https://openalex.org/W2354419434","https://openalex.org/W2021121433","https://openalex.org/W4285271403","https://openalex.org/W3178626677","https://openalex.org/W2110357291","https://openalex.org/W3015801620","https://openalex.org/W2091015105"],"abstract_inverted_index":{"We":[0,63],"propose":[1,108],"an":[2,129],"object":[3,44,93,130],"tracking":[4],"system":[5,152],"which":[6],"recognizes":[7],"everyday":[8],"objects":[9,27,74,158],"and":[10,21,125,155],"estimates":[11],"their":[12],"positions":[13],"by":[14,75,121,132,146],"using":[15,76,122,147],"distributed":[16],"sensors":[17],"in":[18,159],"a":[19,36,67,109,137],"room":[20],"mobile":[22,138],"robots.":[23],"The":[24,151],"placement":[25,50,72,142],"of":[26,60,73,80,91,97,102,128],"is":[28,40,51,85],"frequently":[29],"changed":[30],"according":[31],"to":[32,42,57,116],"human":[33],"activities.":[34],"Although":[35],"passive":[37],"RFID":[38],"tag":[39],"attached":[41],"each":[43],"for":[45,69],"the":[46,49,58,71,77,88,92,100,103,118,123,126,141,148,160],"object's":[47],"recognition,":[48],"often":[52],"not":[53],"uniquely":[54],"determined":[55],"due":[56],"deficiency":[59],"measured":[61,131],"data.":[62],"have":[64],"already":[65],"proposed":[66],"method":[68,111],"estimating":[70],"moving":[78],"trajectories":[79,98],"objects.":[81],"This":[82],"estimation":[83,104,119],"result":[84],"expressed":[86],"as":[87],"probability":[89],"distribution":[90],"placement.":[94],"However":[95],"intersections":[96],"cause":[99],"decrease":[101],"accuracy.":[105],"So":[106],"we":[107],"new":[110],"based":[112],"on":[113],"Bayesian":[114],"inference":[115],"improve":[117],"accuracy":[120],"size":[124],"shape":[127],"laser":[133],"range":[134],"finder.":[135],"Then":[136],"robot":[139],"settles":[140],"with":[143],"small":[144],"workload":[145],"mounted":[149],"sensor.":[150],"successfully":[153],"recognized":[154],"localized":[156],"10":[157],"experiment.":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
