{"id":"https://openalex.org/W2582426916","doi":"https://doi.org/10.4018/ijsi.2017040101","title":"Probabilistic Background Model by Density Forests for Tracking","display_name":"Probabilistic Background Model by Density Forests for Tracking","publication_year":2017,"publication_date":"2017-01-30","ids":{"openalex":"https://openalex.org/W2582426916","doi":"https://doi.org/10.4018/ijsi.2017040101","mag":"2582426916"},"language":"en","primary_location":{"id":"doi:10.4018/ijsi.2017040101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsi.2017040101","pdf_url":null,"source":{"id":"https://openalex.org/S4210228539","display_name":"International Journal of Software Innovation","issn_l":"2166-7160","issn":["2166-7160","2166-7179"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Innovation","raw_type":"journal-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/A5034413518","display_name":"Daimu Oiwa","orcid":null},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daimu Oiwa","raw_affiliation_strings":["Department of Computer Science, Chubu University, Kasugai, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chubu University, Kasugai, Japan","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043665081","display_name":"Shinji Fukui","orcid":"https://orcid.org/0000-0002-1920-6303"},"institutions":[{"id":"https://openalex.org/I39018119","display_name":"Aichi University of Education","ror":"https://ror.org/03m964n84","country_code":"JP","type":"education","lineage":["https://openalex.org/I39018119"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinji Fukui","raw_affiliation_strings":["Department of Computer Science, Aichi University of Education, Kariya, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aichi University of Education, Kariya, Japan","institution_ids":["https://openalex.org/I39018119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078778432","display_name":"Yuji Iwahori","orcid":"https://orcid.org/0000-0002-6421-8186"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuji Iwahori","raw_affiliation_strings":["Department of Computer Science, Chubu University, Kasugai, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chubu University, Kasugai, Japan","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010400600","display_name":"Tsuyoshi Nakamura","orcid":"https://orcid.org/0000-0001-9018-8251"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuyoshi Nakamura","raw_affiliation_strings":["Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065724368","display_name":"Boonserm Kijsirikul","orcid":"https://orcid.org/0000-0002-9046-7151"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Boonserm Kijsirikul","raw_affiliation_strings":["Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036707627","display_name":"M. K. Bhuyan","orcid":"https://orcid.org/0000-0003-2152-5466"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. K. Bhuyan","raw_affiliation_strings":["Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5034413518"],"corresponding_institution_ids":["https://openalex.org/I184937672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00712116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"2","first_page":"1","last_page":"16"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9955000281333923,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9940999746322632,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7623335123062134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7355908155441284},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.707339346408844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6233551502227783},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6130954027175903},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5941118597984314},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5907711386680603},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5721917748451233},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5702298879623413},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5667668581008911},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.5022175312042236},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4825360178947449},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4572882056236267},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.4152447581291199},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38122475147247314},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.32298168540000916},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27410900592803955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23947733640670776},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22717070579528809},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15610083937644958},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11381867527961731},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.08408039808273315}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7623335123062134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7355908155441284},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.707339346408844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6233551502227783},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6130954027175903},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5941118597984314},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5907711386680603},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5721917748451233},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5702298879623413},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5667668581008911},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5022175312042236},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4825360178947449},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4572882056236267},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.4152447581291199},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38122475147247314},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.32298168540000916},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27410900592803955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23947733640670776},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22717070579528809},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15610083937644958},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11381867527961731},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.08408039808273315},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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:10.4018/ijsi.2017040101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsi.2017040101","pdf_url":null,"source":{"id":"https://openalex.org/S4210228539","display_name":"International Journal of Software Innovation","issn_l":"2166-7160","issn":["2166-7160","2166-7179"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Innovation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.7799999713897705,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1499578337","https://openalex.org/W1565206031","https://openalex.org/W2054954193","https://openalex.org/W2058224795","https://openalex.org/W2087622837","https://openalex.org/W2094825134","https://openalex.org/W2161406034","https://openalex.org/W2911964244","https://openalex.org/W2914885528","https://openalex.org/W3011973721"],"related_works":["https://openalex.org/W2015530857","https://openalex.org/W2556064263","https://openalex.org/W1991846142","https://openalex.org/W1583020711","https://openalex.org/W1589286931","https://openalex.org/W1994458110","https://openalex.org/W2100525497","https://openalex.org/W2577958329","https://openalex.org/W4247602836","https://openalex.org/W2336292051"],"abstract_inverted_index":{"This":[0,99],"paper":[1],"proposes":[2],"an":[3,47],"approach":[4,134],"for":[5],"a":[6,18,28,43,120],"robust":[7],"tracking":[8],"method":[9,59,67,126],"to":[10,17,40,52,101],"the":[11,53,57,63,69,74,77,82,87,90,93,103,114,131,137,146],"objects":[12],"intersection":[13],"with":[14,49],"appearances":[15],"similar":[16,51],"target":[19,22,54,94],"object.":[20],"The":[21,66,107,124],"is":[23,60,111],"image":[24],"sequences":[25],"taken":[26],"by":[27,73,113,135,143],"moving":[29],"camera":[30],"in":[31,89],"this":[32],"paper.":[33],"Tracking":[34],"methods":[35],"using":[36,145],"color":[37,50],"information":[38],"tend":[39],"track":[41],"mistakenly":[42],"background":[44,71,109],"region":[45,91],"or":[46],"object":[48,55,95],"since":[56],"proposed":[58,125],"based":[61],"on":[62],"particle":[64],"filter.":[65],"constructs":[68],"probabilistic":[70,108,121],"model":[72,110],"histogram":[75],"of":[76,92,105,149],"optical":[78],"flow":[79],"and":[80],"defines":[81],"likelihood":[83,88],"function":[84],"so":[85],"that":[86],"may":[96],"become":[97],"large.":[98],"leads":[100],"increasing":[102],"accuracy":[104],"tracking.":[106],"made":[112],"density":[115,122,138],"forests.":[116,139],"It":[117],"can":[118,127],"infer":[119],"fast.":[123],"process":[128],"faster":[129],"than":[130],"authors'":[132],"previous":[133],"introducing":[136],"Results":[140],"are":[141],"demonstrated":[142],"experiments":[144],"real":[147],"videos":[148],"outdoor":[150],"scenes.":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}