{"id":"https://openalex.org/W2111426014","doi":"https://doi.org/10.1109/lsp.2010.2057507","title":"Sigma Set Based Implicit Online Learning for Object Tracking","display_name":"Sigma Set Based Implicit Online Learning for Object Tracking","publication_year":2010,"publication_date":"2010-07-21","ids":{"openalex":"https://openalex.org/W2111426014","doi":"https://doi.org/10.1109/lsp.2010.2057507","mag":"2111426014"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2010.2057507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2010.2057507","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5026880795","display_name":"Xiaopeng Hong","orcid":"https://orcid.org/0000-0002-0611-0636"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaopeng Hong","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","School of Computer science and technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer science and technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037306106","display_name":"Hong Chang","orcid":"https://orcid.org/0000-0002-2668-0070"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Chang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, ICT, Chinese Academy and Sciences, Beijing, China","Key Lab. of Intell. Inf. Process., Chinese Acad. of Sci., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, ICT, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]},{"raw_affiliation_string":"Key Lab. of Intell. Inf. Process., Chinese Acad. of Sci., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050297728","display_name":"Shiguang Shan","orcid":"https://orcid.org/0000-0002-8348-392X"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Shan","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, ICT, Chinese Academy and Sciences, Beijing, China","Key Lab. of Intell. Inf. Process., Chinese Acad. of Sci., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, ICT, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]},{"raw_affiliation_string":"Key Lab. of Intell. Inf. Process., Chinese Acad. of Sci., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103071671","display_name":"Bineng Zhong","orcid":"https://orcid.org/0000-0002-7170-9215"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bineng Zhong","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","School of Computer science and technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer science and technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083420537","display_name":"Xilin Chen","orcid":"https://orcid.org/0000-0003-3024-4404"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilin Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, ICT, Chinese Academy and Sciences, Beijing, China","Key Lab. of Intell. Inf. Process., Chinese Acad. of Sci., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, ICT, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]},{"raw_affiliation_string":"Key Lab. of Intell. Inf. Process., Chinese Acad. of Sci., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["Institute of Digital Media, Peking University, Beijing, China","[Institute of Digital Media, Peking University, Beijing, China.]"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Media, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"[Institute of Digital Media, Peking University, Beijing, China.]","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5026880795"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.293,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82443185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"17","issue":"9","first_page":"807","last_page":"810"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9670000076293945,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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":0.7334645390510559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7016234397888184},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.670050859451294},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.575946033000946},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.5501410365104675},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5380010604858398},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5185073614120483},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47111228108406067},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4693746566772461},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4645957946777344},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4552615284919739},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.438755601644516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.408914178609848},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4000885784626007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7334645390510559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7016234397888184},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.670050859451294},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.575946033000946},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.5501410365104675},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5380010604858398},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5185073614120483},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47111228108406067},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4693746566772461},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4645957946777344},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4552615284919739},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.438755601644516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.408914178609848},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4000885784626007},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2010.2057507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2010.2057507","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.391.8520","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.8520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vipl.ict.ac.cn/sites/default/files/papers/files/2010_SPL_xphong_Sigma Set Based Implicit Online Learning For Object Tracking.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1549083695","https://openalex.org/W1807914171","https://openalex.org/W1995903777","https://openalex.org/W2110612061","https://openalex.org/W2118837987","https://openalex.org/W2132103241","https://openalex.org/W2132882064","https://openalex.org/W2134809020","https://openalex.org/W2139047213","https://openalex.org/W2143715815","https://openalex.org/W2146159678","https://openalex.org/W2146820038","https://openalex.org/W2152323237","https://openalex.org/W2156757627","https://openalex.org/W2160788267","https://openalex.org/W2161406034","https://openalex.org/W2165797462","https://openalex.org/W2167089254","https://openalex.org/W2293873019","https://openalex.org/W2296760911","https://openalex.org/W2535674185","https://openalex.org/W2909647784","https://openalex.org/W3097439696","https://openalex.org/W4231340930","https://openalex.org/W4244019866","https://openalex.org/W6632640995","https://openalex.org/W6638399501","https://openalex.org/W6677041016","https://openalex.org/W6677767500","https://openalex.org/W6679772661","https://openalex.org/W6683900692","https://openalex.org/W6684274140","https://openalex.org/W6697639392"],"related_works":["https://openalex.org/W2965594636","https://openalex.org/W2912550626","https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2010643158","https://openalex.org/W3049691116","https://openalex.org/W2106867672","https://openalex.org/W4310268968","https://openalex.org/W3081214562"],"abstract_inverted_index":{"This":[0],"letter":[1],"presents":[2],"a":[3,33,74],"novel":[4],"object":[5],"tracking":[6,120],"approach":[7,121],"within":[8],"the":[9,20,51,80,107,111,118],"Bayesian":[10],"inference":[11,100],"framework":[12],"through":[13],"implicit":[14],"online":[15,52,60,76],"learning.":[16],"In":[17],"our":[18],"approach,":[19],"target":[21,45,77,91],"is":[22,30,67,122],"represented":[23],"by":[24,32,95],"multiple":[25,90],"patches,":[26],"each":[27,44],"of":[28,72,82,86,101],"which":[29],"encoded":[31],"powerful":[34],"and":[35,70,109,124,128],"efficient":[36,125],"region":[37],"descriptor":[38],"called":[39],"Sigma":[40],"set.":[41],"To":[42],"model":[43,112],"patch,":[46],"we":[47],"propose":[48],"to":[49,89,105],"utilize":[50],"one-class":[53],"support":[54],"vector":[55],"machine":[56],"algorithm,":[57],"named":[58],"Implicit":[59],"Learning":[61],"with":[62,98],"Kernels":[63],"Model":[64],"(ILKM).":[65],"ILKM":[66],"simple,":[68],"efficient,":[69],"capable":[71],"learning":[73],"robust":[75],"predictor":[78],"in":[79,126],"presence":[81],"appearance":[83],"changes.":[84],"Responses":[85],"ILKMs":[87],"related":[88],"patches":[92],"are":[93],"fused":[94],"an":[96,99],"arbitrator":[97],"possible":[102],"partial":[103],"occlusions,":[104],"make":[106],"decision":[108],"trigger":[110],"update.":[113],"Experimental":[114],"results":[115],"demonstrate":[116],"that":[117],"proposed":[119],"effective":[123],"ever-changing":[127],"cluttered":[129],"scenes.":[130]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}