{"id":"https://openalex.org/W1641188667","doi":"https://doi.org/10.1109/tip.2015.2479460","title":"Weighted Part Context Learning for Visual Tracking","display_name":"Weighted Part Context Learning for Visual Tracking","publication_year":2015,"publication_date":"2015-09-16","ids":{"openalex":"https://openalex.org/W1641188667","doi":"https://doi.org/10.1109/tip.2015.2479460","mag":"1641188667","pmid":"https://pubmed.ncbi.nlm.nih.gov/26390462"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2015.2479460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2479460","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5029271867","display_name":"Guibo Zhu","orcid":"https://orcid.org/0000-0001-8293-3952"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guibo Zhu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058420913","display_name":"Jinqiao Wang","orcid":"https://orcid.org/0000-0002-9118-2780"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqiao Wang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102990950","display_name":"Chaoyang Zhao","orcid":"https://orcid.org/0000-0002-0341-0166"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyang Zhao","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100511737","display_name":"Hanqing Lu","orcid":"https://orcid.org/0000-0001-9506-3407"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqing Lu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2041,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.91631961,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"12","first_page":"5140","last_page":"5151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9890999794006348,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.7432714104652405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7340666055679321},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.5985562801361084},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5395760536193848},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5191511511802673},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4941158592700958},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.49341168999671936},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.46620094776153564},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4632139801979065},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4557885229587555},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43827024102211},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4380662441253662},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.43601033091545105},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.42546746134757996},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4226084351539612},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4197343587875366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7432714104652405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7340666055679321},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.5985562801361084},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5395760536193848},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5191511511802673},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4941158592700958},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.49341168999671936},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46620094776153564},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4632139801979065},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4557885229587555},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43827024102211},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4380662441253662},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.43601033091545105},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.42546746134757996},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4226084351539612},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4197343587875366},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2015.2479460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2479460","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:26390462","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26390462","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G139424286","display_name":null,"funder_award_id":"2014AA015104","funder_id":"https://openalex.org/F4320335773","funder_display_name":"National High-tech Research and Development Program"},{"id":"https://openalex.org/G267313036","display_name":null,"funder_award_id":"61332016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7895550631","display_name":null,"funder_award_id":"61273034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335773","display_name":"National High-tech Research and Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W118683668","https://openalex.org/W161114242","https://openalex.org/W1424443765","https://openalex.org/W1518641734","https://openalex.org/W1525954826","https://openalex.org/W1552576688","https://openalex.org/W1970255615","https://openalex.org/W1981219153","https://openalex.org/W1981892159","https://openalex.org/W1986426688","https://openalex.org/W1989684337","https://openalex.org/W1995903777","https://openalex.org/W2000326692","https://openalex.org/W2016075127","https://openalex.org/W2016309246","https://openalex.org/W2021970885","https://openalex.org/W2022505761","https://openalex.org/W2023640470","https://openalex.org/W2024029849","https://openalex.org/W2027021064","https://openalex.org/W2030536784","https://openalex.org/W2031749713","https://openalex.org/W2038943746","https://openalex.org/W2044208973","https://openalex.org/W2044986361","https://openalex.org/W2045798786","https://openalex.org/W2049457635","https://openalex.org/W2051985940","https://openalex.org/W2070019681","https://openalex.org/W2075203563","https://openalex.org/W2089961441","https://openalex.org/W2098854771","https://openalex.org/W2098941887","https://openalex.org/W2104331347","https://openalex.org/W2104617951","https://openalex.org/W2105842272","https://openalex.org/W2106481697","https://openalex.org/W2108215708","https://openalex.org/W2109026901","https://openalex.org/W2109579504","https://openalex.org/W2117032601","https://openalex.org/W2121193292","https://openalex.org/W2124211486","https://openalex.org/W2126302311","https://openalex.org/W2139047213","https://openalex.org/W2140595412","https://openalex.org/W2141357020","https://openalex.org/W2141364309","https://openalex.org/W2147533695","https://openalex.org/W2153635508","https://openalex.org/W2154889144","https://openalex.org/W2158917775","https://openalex.org/W2159213092","https://openalex.org/W2160218441","https://openalex.org/W2161406034","https://openalex.org/W2161969291","https://openalex.org/W2162383208","https://openalex.org/W2167089254","https://openalex.org/W2168356304","https://openalex.org/W2168802423","https://openalex.org/W2429914308","https://openalex.org/W2769941643","https://openalex.org/W2937970997","https://openalex.org/W3009009611","https://openalex.org/W4231340930","https://openalex.org/W4240372153","https://openalex.org/W6601205835","https://openalex.org/W6606595081","https://openalex.org/W6631399749","https://openalex.org/W6675783020","https://openalex.org/W6678515836","https://openalex.org/W6680862486","https://openalex.org/W6683584131","https://openalex.org/W6683636472","https://openalex.org/W6683886257","https://openalex.org/W6684274140","https://openalex.org/W6684760091","https://openalex.org/W7009134754"],"related_works":["https://openalex.org/W2002136628","https://openalex.org/W2012200063","https://openalex.org/W2963010494","https://openalex.org/W2132541102","https://openalex.org/W2991803441","https://openalex.org/W2107332757","https://openalex.org/W3201620372","https://openalex.org/W3082112504","https://openalex.org/W2132182117","https://openalex.org/W2332097167"],"abstract_inverted_index":{"Context":[0],"information":[1,37],"is":[2,63,176],"widely":[3],"used":[4],"in":[5,41,44,166,195],"computer":[6],"vision":[7],"for":[8,186],"tracking":[9,197],"arbitrary":[10],"objects.":[11],"Most":[12],"of":[13,24,101,120,150,226,232],"the":[14,22,53,57,60,118,121,124,131,134,139,144,151,155,161,182,188,192,196,217,224,227,230,233],"existing":[15],"studies":[16],"focus":[17],"on":[18],"how":[19,29,47,214],"to":[20,30,38,48,89,136,205,208,215],"distinguish":[21],"object":[23,58,122,135,156,193],"interest":[25],"from":[26],"background":[27,158],"or":[28],"use":[31],"keypoint-based":[32],"supporters":[33],"as":[34,211,213],"their":[35],"auxiliary":[36],"assist":[39],"them":[40],"tracking.":[42],"However,":[43],"most":[45],"cases,":[46],"discover":[49],"and":[50,59,86,109,123,157,190,221],"represent":[51],"both":[52],"intrinsic":[54],"properties":[55],"inside":[56,133],"surrounding":[61],"context":[62,75,97,111,145],"still":[64],"an":[65,102,105],"open":[66],"problem.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71,200],"propose":[72],"a":[73,110,167],"unified":[74],"learning":[76,170,187],"framework":[77],"that":[78],"can":[79,179],"effectively":[80,180],"capture":[81],"spatiotemporal":[82,140],"relations,":[83],"prior":[84,173,184],"knowledge,":[85],"motion":[87],"consistency":[88],"enhance":[90],"tracker's":[91],"performance.":[92],"The":[93,114,126],"proposed":[94,234],"weighted":[95],"part":[96],"tracker":[98],"(WPCT)":[99],"consists":[100],"appearance":[103,115],"model,":[104,108],"internal":[106,127],"relation":[107,112,128,146],"model.":[113],"model":[116,129,147],"represents":[117],"appearances":[119],"parts.":[125,218],"utilizes":[130],"parts":[132],"directly":[137],"describe":[138],"structure":[141],"property,":[142],"while":[143],"takes":[148],"advantage":[149],"latent":[152],"intersection":[153],"between":[154],"regions.":[159],"Then,":[160],"three":[162],"models":[163],"are":[164],"embedded":[165],"max-margin":[168],"structured":[169],"framework.":[171],"Furthermore,":[172],"label":[174],"distribution":[175],"added,":[177],"which":[178],"exploit":[181],"spatial":[183],"knowledge":[185],"classifier":[189],"inferring":[191],"state":[194,225],"process.":[198],"Meanwhile,":[199],"define":[201],"online":[202],"update":[203,209],"functions":[204],"decide":[206],"when":[207],"WPCT,":[210],"well":[212],"reweight":[216],"Extensive":[219],"experiments":[220],"comparisons":[222],"with":[223],"arts":[228],"demonstrate":[229],"effectiveness":[231],"method.":[235]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}