{"id":"https://openalex.org/W2171844407","doi":"https://doi.org/10.1109/robio.2009.5420592","title":"Cascade particle filter for human tracking with multiple and heterogeneous cameras","display_name":"Cascade particle filter for human tracking with multiple and heterogeneous cameras","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2171844407","doi":"https://doi.org/10.1109/robio.2009.5420592","mag":"2171844407"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2009.5420592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2009.5420592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5105369894","display_name":"Keisuke Kobayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Keisuke Kobayashi","raw_affiliation_strings":["Department of Precision Engineering, Graduate School of Engineering, University of Tokyo, Bunkyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, Graduate School of Engineering, University of Tokyo, Bunkyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102873300","display_name":"Tamio Arai","orcid":"https://orcid.org/0000-0003-4881-6503"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tamio Arai","raw_affiliation_strings":["Department of Precision Engineering, Graduate School of Engineering, University of Tokyo, Bunkyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, Graduate School of Engineering, University of Tokyo, Bunkyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5105369894"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.3236,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65097243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"682","last_page":"687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9789000153541565,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9728999733924866,"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/particle-filter","display_name":"Particle filter","score":0.8412494659423828},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8062951564788818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7817840576171875},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7465466260910034},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.6540851593017578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6473568081855774},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5546697378158569},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5525423288345337},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5445639491081238},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4890314042568207},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4228721261024475},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.36910921335220337},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13384944200515747},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12198367714881897},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1135810911655426},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.10106143355369568},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.08113041520118713}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.8412494659423828},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8062951564788818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7817840576171875},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7465466260910034},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.6540851593017578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6473568081855774},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5546697378158569},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5525423288345337},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5445639491081238},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4890314042568207},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4228721261024475},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.36910921335220337},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13384944200515747},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12198367714881897},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1135810911655426},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.10106143355369568},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08113041520118713},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2009.5420592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2009.5420592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1506110186","https://openalex.org/W1513768190","https://openalex.org/W1539154803","https://openalex.org/W1599620299","https://openalex.org/W2060451775","https://openalex.org/W2096846396","https://openalex.org/W2100519657","https://openalex.org/W2102858470","https://openalex.org/W2113137767","https://openalex.org/W2117007522","https://openalex.org/W2117082318","https://openalex.org/W2122675580","https://openalex.org/W2125147215","https://openalex.org/W2125806710","https://openalex.org/W2125907508","https://openalex.org/W2136559873","https://openalex.org/W2146820038","https://openalex.org/W2147953023","https://openalex.org/W2148253248","https://openalex.org/W2154330368","https://openalex.org/W2159128898","https://openalex.org/W2161406034","https://openalex.org/W2999617985","https://openalex.org/W3145294510","https://openalex.org/W6630587866","https://openalex.org/W6632268950","https://openalex.org/W6675206091","https://openalex.org/W6678122694","https://openalex.org/W6682042711"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W2060986072","https://openalex.org/W2180954594","https://openalex.org/W1566155057","https://openalex.org/W2052835778","https://openalex.org/W2052574922","https://openalex.org/W2049003611","https://openalex.org/W1994458110","https://openalex.org/W2100525497"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,22],"stochastic":[6],"method":[7,89],"for":[8],"human":[9,92],"tracking":[10,15,31],"with":[11],"heterogeneous":[12],"cameras.":[13,29],"Our":[14],"system":[16],"employs":[17],"two":[18,41],"kinds":[19],"of":[20,44,50,64,80],"cameras,":[21],"foveated":[23],"wide-angle":[24],"lens":[25],"and":[26],"three":[27],"network":[28],"The":[30],"algorithm":[32],"is":[33,54,68],"based":[34],"on":[35],"cascade":[36],"particle":[37,53,67],"filter":[38],"(CPF)":[39],"involving":[40],"different":[42],"weightings":[43],"particles.":[45],"At":[46,60],"the":[47,61,87],"first":[48],"stage":[49,63],"CPF,":[51,65],"each":[52,66,81],"weighted":[55,69],"by":[56,70],"ground":[57],"plane":[58],"occupancy.":[59],"second":[62],"similarity":[71],"between":[72],"color":[73],"histograms.":[74],"Each":[75],"weighting":[76],"utilizes":[77],"an":[78],"imaging-feature":[79],"camera.":[82],"Experimental":[83],"results":[84],"confirmed":[85],"that":[86],"proposed":[88],"succeeded":[90],"in":[91],"tracking.":[93]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
