{"id":"https://openalex.org/W2171640106","doi":"https://doi.org/10.1109/iccv.2011.6126297","title":"Treat samples differently: Object tracking with semi-supervised online CovBoost","display_name":"Treat samples differently: Object tracking with semi-supervised online CovBoost","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2171640106","doi":"https://doi.org/10.1109/iccv.2011.6126297","mag":"2171640106"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2011.6126297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","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/A5100775216","display_name":"Guorong Li","orcid":"https://orcid.org/0000-0003-3954-2387"},"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/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guorong Li","raw_affiliation_strings":["Graduate University of Chinese Academy of Sciences(CAS), Beijing 100049, China","Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate University of Chinese Academy of Sciences(CAS), Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044388347","display_name":"Lei Qin","orcid":"https://orcid.org/0000-0002-6708-1285"},"institutions":[{"id":"https://openalex.org/I4210133325","display_name":"Institute of Process Engineering","ror":"https://ror.org/03j4x9j18","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210133325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Qin","raw_affiliation_strings":["Key Lab of Intell. Info. Process., Inst. of Computi. Tech., CAS, Beijing 100190, China","Key Laboratory ofIntell. Information Process., Institute of Computi. Technology, CAS, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intell. Info. Process., Inst. of Computi. Tech., CAS, Beijing 100190, China","institution_ids":["https://openalex.org/I4210133325"]},{"raw_affiliation_string":"Key Laboratory ofIntell. Information Process., Institute of Computi. Technology, CAS, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"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/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["Graduate University of Chinese Academy of Sciences(CAS), Beijing 100049, China","Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate University of Chinese Academy of Sciences(CAS), Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020694008","display_name":"Junbiao Pang","orcid":"https://orcid.org/0000-0001-8153-7229"},"institutions":[{"id":"https://openalex.org/I4210133325","display_name":"Institute of Process Engineering","ror":"https://ror.org/03j4x9j18","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210133325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbiao Pang","raw_affiliation_strings":["Key Lab of Intell. Info. Process., Inst. of Computi. Tech., CAS, Beijing 100190, China","Key Laboratory ofIntell. Information Process., Institute of Computi. Technology, CAS, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intell. Info. Process., Inst. of Computi. Tech., CAS, Beijing 100190, China","institution_ids":["https://openalex.org/I4210133325"]},{"raw_affiliation_string":"Key Laboratory ofIntell. Information Process., Institute of Computi. Technology, CAS, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085719285","display_name":"Shuqiang Jiang","orcid":"https://orcid.org/0000-0002-1596-4326"},"institutions":[{"id":"https://openalex.org/I4210133325","display_name":"Institute of Process Engineering","ror":"https://ror.org/03j4x9j18","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210133325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuqiang Jiang","raw_affiliation_strings":["Key Lab of Intell. Info. Process., Inst. of Computi. Tech., CAS, Beijing 100190, China","Key Laboratory ofIntell. Information Process., Institute of Computi. Technology, CAS, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intell. Info. Process., Inst. of Computi. Tech., CAS, Beijing 100190, China","institution_ids":["https://openalex.org/I4210133325"]},{"raw_affiliation_string":"Key Laboratory ofIntell. Information Process., Institute of Computi. Technology, CAS, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"627","last_page":"634"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9911999702453613,"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/T10057","display_name":"Face and Expression Recognition","score":0.9853000044822693,"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-science","display_name":"Computer science","score":0.6862133741378784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6241892576217651},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5861936807632446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5577577948570251},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5557811260223389},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.44552695751190186},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4264298379421234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.30956730246543884},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06490784883499146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6862133741378784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6241892576217651},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5861936807632446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5577577948570251},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5557811260223389},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.44552695751190186},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4264298379421234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30956730246543884},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06490784883499146},{"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/iccv.2011.6126297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","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":34,"referenced_works":["https://openalex.org/W1603138887","https://openalex.org/W1807914171","https://openalex.org/W1988790447","https://openalex.org/W1999426038","https://openalex.org/W2000326692","https://openalex.org/W2033421762","https://openalex.org/W2034368206","https://openalex.org/W2043123015","https://openalex.org/W2075728230","https://openalex.org/W2102062979","https://openalex.org/W2104331347","https://openalex.org/W2118340964","https://openalex.org/W2132103241","https://openalex.org/W2133566592","https://openalex.org/W2136504847","https://openalex.org/W2143715815","https://openalex.org/W2145376937","https://openalex.org/W2147533695","https://openalex.org/W2150000644","https://openalex.org/W2161160446","https://openalex.org/W2161406034","https://openalex.org/W2163532725","https://openalex.org/W2164598857","https://openalex.org/W2167089254","https://openalex.org/W2295262250","https://openalex.org/W2753461371","https://openalex.org/W4231340930","https://openalex.org/W6636069664","https://openalex.org/W6638399501","https://openalex.org/W6650191169","https://openalex.org/W6650413978","https://openalex.org/W6661108955","https://openalex.org/W6683794642","https://openalex.org/W6684274140"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W4292830139","https://openalex.org/W2968379562","https://openalex.org/W4319309705","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983"],"abstract_inverted_index":{"Most":[0],"feature":[1],"selection":[2],"methods":[3],"for":[4,46,102,148,158],"object":[5],"tracking":[6,47,61],"assume":[7,114],"that":[8],"the":[9,14,18,22,25,40,49,68,77,84,92,97,119,123,144,169,177,181],"labeled":[10],"samples":[11,23,69,74,81,89,117,125,137,140],"obtained":[12],"in":[13,24,34,60,76,83,91],"next":[15,93],"frames":[16],"follow":[17,118],"similar":[19],"distribution":[20,59,121],"with":[21,165],"previous":[26,78],"frame.":[27],"However,":[28],"this":[29,54],"assumption":[30],"is":[31],"not":[32,44],"true":[33],"some":[35],"scenarios.":[36],"As":[37],"a":[38,63,106,128,153],"result,":[39],"selected":[41],"features":[42],"are":[43],"suitable":[45],"and":[48,87,126,138,172],"\u201cdrift\u201d":[50],"problem":[51],"happens.":[52],"In":[53],"paper,":[55],"we":[56,104,113,151],"consider":[57],"data's":[58],"from":[62],"new":[64,154],"perspective.":[65],"We":[66,175],"classify":[67],"into":[70],"three":[71],"categories:":[72],"auxiliary":[73,136],"(samples":[75],"frames),":[79],"target":[80,116,171],"(collected":[82],"current":[85],"frame)":[86],"unlabeled":[88,124,139],"(obtained":[90],"frame).":[94],"To":[95],"make":[96],"best":[98,145],"use":[99],"of":[100,168,180],"them":[101],"tracking,":[103],"propose":[105],"novel":[107,129],"semi-supervised":[108,130,159],"transfer":[109],"learning":[110],"approach.":[111],"Specifically,":[112],"only":[115],"same":[120],"as":[122],"develop":[127,152],"CovBoost":[131],"method.":[132],"It":[133],"could":[134],"utilize":[135],"effectively":[141],"when":[142],"training":[143],"strong":[146],"classifier":[147],"tracking.":[149],"Furthermore,":[150],"online":[155],"updating":[156],"algorithm":[157],"CovBoost,":[160],"making":[161],"our":[162],"tracker":[163,183],"handle":[164],"significant":[166],"variations":[167],"tracked":[170],"background":[173],"successfully.":[174],"demonstrate":[176],"excellent":[178],"performance":[179],"proposed":[182],"on":[184],"several":[185],"challenging":[186],"test":[187],"videos.":[188]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}