{"id":"https://openalex.org/W2154688983","doi":"https://doi.org/10.1109/icme.2009.5202758","title":"Adaptive particle filters for visual object tracking using joint PCA appearance model and consensus point correspondences","display_name":"Adaptive particle filters for visual object tracking using joint PCA appearance model and consensus point correspondences","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2154688983","doi":"https://doi.org/10.1109/icme.2009.5202758","mag":"2154688983"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2009.5202758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2009.5202758","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 Multimedia and Expo","raw_type":"proceedings-article"},"type":"conference-paper","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/A5034987896","display_name":"Tiesheng Wang","orcid":"https://orcid.org/0000-0001-7587-7681"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiesheng Wang","raw_affiliation_strings":["Institute of IPPR, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of IPPR, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044267089","display_name":"Irene Yu\u2010Hua Gu","orcid":"https://orcid.org/0000-0003-4759-7038"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Irene Y.H. Gu","raw_affiliation_strings":["Department of Signals and Systems, Chalmers, University of Technology, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, Chalmers, University of Technology, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087520448","display_name":"Zulfiqar Hasan Khan","orcid":"https://orcid.org/0000-0002-7820-2775"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Zulfiqar H. Khan","raw_affiliation_strings":["Department of Signals and Systems, Chalmers, University of Technology, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, Chalmers, University of Technology, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101997579","display_name":"Pengfei Shi","orcid":"https://orcid.org/0000-0002-2966-1676"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Shi","raw_affiliation_strings":["Institute of IPPR, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of IPPR, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1370","last_page":"1373"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9656000137329102,"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/T10057","display_name":"Face and Expression Recognition","score":0.949400007724762,"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/computer-vision","display_name":"Computer vision","score":0.7122995853424072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7073038220405579},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7049635052680969},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.6993998289108276},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6189972758293152},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6034985780715942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5268239378929138},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4602592885494232},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4234231114387512},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3870736062526703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3735963702201843},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3552325665950775},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13113811612129211}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7122995853424072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7073038220405579},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7049635052680969},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.6993998289108276},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6189972758293152},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6034985780715942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5268239378929138},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4602592885494232},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4234231114387512},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3870736062526703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3735963702201843},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3552325665950775},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13113811612129211},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2009.5202758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2009.5202758","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 Multimedia and Expo","raw_type":"proceedings-article"},{"id":"pmh:oai:research.chalmers.se:93349","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/93349","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307875","display_name":"Styrelsen f\u00f6r Internationellt Utvecklingssamarbete","ror":"https://ror.org/01fn7me06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1510852502","https://openalex.org/W1603657930","https://openalex.org/W1677409904","https://openalex.org/W2085261163","https://openalex.org/W2101488078","https://openalex.org/W2110671801","https://openalex.org/W2110744759","https://openalex.org/W2140151376","https://openalex.org/W2151103935","https://openalex.org/W2613779721","https://openalex.org/W2753461371","https://openalex.org/W6676243939"],"related_works":["https://openalex.org/W1989212443","https://openalex.org/W2103644279","https://openalex.org/W4302986566","https://openalex.org/W1968585197","https://openalex.org/W2135362996","https://openalex.org/W2163445067","https://openalex.org/W4247544095","https://openalex.org/W2122155275","https://openalex.org/W4285271403","https://openalex.org/W2542007731"],"abstract_inverted_index":{"This":[0],"paper":[1,39],"addresses":[2],"issues":[3],"on":[4,84,128],"moving":[5,130],"object":[6,20,28],"tracking":[7,14,129,181],"from":[8],"videos.":[9],"We":[10],"propose":[11],"a":[12],"novel":[13],"scheme":[15,105,139,176],"that":[16,136,173],"jointly":[17],"exploits":[18],"local":[19],"features":[21],"using":[22,33,100],"consensus":[23,47,115],"point":[24,49,116],"correspondences,":[25,117],"and":[26,30,64,72,111,118],"global":[27],"appearance":[29],"shape":[31,57],"models":[32],"adaptive":[34,61,76,96],"particle":[35,62,122],"filter-based":[36,123],"eigen-tracking.":[37,74],"The":[38,103,154],"include":[40],"the":[41,53,137,174,184],"following":[42],"main":[43],"novelties:":[44],"(a)":[45],"employ":[46,60],"feature":[48],"correspondences":[50],"to":[51,97],"estimate":[52],"motion":[54,65,149],"vector":[55,68],"of":[56,78,88,157,186],"model;":[58],"(b)":[59],"filters":[63],"corrected":[66],"state":[67],"for":[69,113,145],"joint":[70],"appearance-":[71],"shape-based":[73],"An":[75],"number":[77,156],"particles":[79,158],"is":[80,94,106,159],"chosen":[81],"automatically":[82],"based":[83],"an":[85,120,167,179],"updated":[86],"estimation":[87],"covariance":[89],"matrix.":[90],"Further,":[91],"online":[92],"learning":[93,99],"made":[95,165],"avoid":[98],"partially-occluded":[101],"objects.":[102],"proposed":[104,138,175],"realized":[107],"by":[108],"integrating":[109],"SURF":[110],"RANSAC":[112],"estimating":[114],"modify":[119],"existing":[121,168],"eigen-tracking":[124],".":[125],"Experiment":[126],"results":[127,170],"objects":[131,146],"in":[132],"videos":[133],"have":[134,163,171],"shown":[135,172],"provides":[140],"more":[141,187],"accurate":[142],"tracking,":[143],"especially":[144],"with":[147,166],"fast":[148],"or":[150],"long-term":[151],"partial":[152],"occlusions.":[153],"average":[155],"significantly":[160],"reduced.":[161],"Comparisons":[162],"been":[164],"method,":[169],"has":[177],"provided":[178],"improved":[180],"accuracy":[182],"at":[183],"cost":[185],"computations.":[188]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}