{"id":"https://openalex.org/W2124490330","doi":"https://doi.org/10.1109/iccv.2007.4408950","title":"Robust Visual Tracking Based on Incremental Tensor Subspace Learning","display_name":"Robust Visual Tracking Based on Incremental Tensor Subspace Learning","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2124490330","doi":"https://doi.org/10.1109/iccv.2007.4408950","mag":"2124490330"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4408950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4408950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-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/A5101494435","display_name":"Xi Li","orcid":"https://orcid.org/0000-0003-0147-1368"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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":true,"raw_author_name":"Xi Li","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","CAS, Beijing"],"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":"CAS, Beijing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114549594","display_name":"Weiming Hu","orcid":"https://orcid.org/0000-0001-9237-8825"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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":"Weiming Hu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","CAS, Beijing"],"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":"CAS, Beijing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036747535","display_name":"Zhongfei Zhang","orcid":"https://orcid.org/0000-0001-5098-2506"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongfei Zhang","raw_affiliation_strings":["State University of New York, Binghamton, NY, USA","State University of New York, Binghamton, NY 13902, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"State University of New York, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"State University of New York, Binghamton, NY 13902, USA#TAB#","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699785","display_name":"Xiaoqin Zhang","orcid":"https://orcid.org/0000-0003-0958-7285"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqin Zhang","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, CAS, Beijing, China"],"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, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101939059","display_name":"Guan Luo","orcid":"https://orcid.org/0000-0002-2151-3011"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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":"Guan Luo","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, CAS, Beijing, China"],"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, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101494435"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":4.877,"has_fulltext":false,"cited_by_count":125,"citation_normalized_percentile":{"value":0.96273292,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9890000224113464,"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/subspace-topology","display_name":"Subspace topology","score":0.7498579025268555},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6540822982788086},{"id":"https://openalex.org/keywords/multilinear-map","display_name":"Multilinear map","score":0.6507647037506104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5608500242233276},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4823991060256958},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.46945422887802124},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.46310752630233765},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45989328622817993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41614586114883423},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.41462522745132446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35054582357406616},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.2855376899242401}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7498579025268555},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6540822982788086},{"id":"https://openalex.org/C84392682","wikidata":"https://www.wikidata.org/wiki/Q1952404","display_name":"Multilinear map","level":2,"score":0.6507647037506104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5608500242233276},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4823991060256958},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.46945422887802124},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.46310752630233765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45989328622817993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41614586114883423},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.41462522745132446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35054582357406616},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.2855376899242401},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/iccv.2007.4408950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4408950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.130.2814","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.2814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://gip.cs.technion.ac.il/confrences/iccv 2007/data/papers/iccv/113.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.542.2081","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.542.2081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.nlpr.labs.gov.cn/2007papers/gjhy/gh56.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.87.8509","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.8509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.fortune.binghamton.edu/publications/iccv07_final.pdf","raw_type":"text"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/67305","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/67305","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/iccv.2007.4408950","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W94807413","https://openalex.org/W1481420047","https://openalex.org/W1636936512","https://openalex.org/W2005070869","https://openalex.org/W2018282388","https://openalex.org/W2037360998","https://openalex.org/W2097366995","https://openalex.org/W2102544846","https://openalex.org/W2102786230","https://openalex.org/W2103243027","https://openalex.org/W2110671801","https://openalex.org/W2110744759","https://openalex.org/W2113276435","https://openalex.org/W2122899687","https://openalex.org/W2125078165","https://openalex.org/W2130278361","https://openalex.org/W2130320772","https://openalex.org/W2131335073","https://openalex.org/W2133140216","https://openalex.org/W2133439527","https://openalex.org/W2134432876","https://openalex.org/W2139895170","https://openalex.org/W2143162151","https://openalex.org/W2145948906","https://openalex.org/W2153026700","https://openalex.org/W2154357715","https://openalex.org/W2160551639","https://openalex.org/W2163589210","https://openalex.org/W2594453999","https://openalex.org/W2613779721","https://openalex.org/W2753461371","https://openalex.org/W3142873477","https://openalex.org/W3160881378","https://openalex.org/W6603832936","https://openalex.org/W6628883542","https://openalex.org/W6636707023","https://openalex.org/W6674755931","https://openalex.org/W6676853255","https://openalex.org/W6678378411","https://openalex.org/W6679505136","https://openalex.org/W6679591791","https://openalex.org/W6679911070","https://openalex.org/W6680555678","https://openalex.org/W6681026066","https://openalex.org/W6682718972","https://openalex.org/W6684291783"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"Most":[0],"existing":[1],"subspace":[2,23,64,141],"analysis-based":[3],"tracking":[4],"algorithms":[5],"utilize":[6],"a":[7,12,16,34,73,78,104,152],"flattened":[8],"vector":[9],"to":[10,129],"represent":[11],"target,":[13],"resulting":[14],"in":[15,102],"high":[17],"dimensional":[18],"data":[19],"learning":[20,65,77],"problem.":[21],"Recently,":[22],"analysis":[24,147],"is":[25,53,93,107,127],"incorporated":[26],"into":[27],"the":[28,48,69,86,96,100,114,122,131,134,138,144,156],"multilinear":[29],"framework":[30,101],"which":[31,67,103],"offline":[32],"constructs":[33],"representation":[35,82],"of":[36,72,160],"image":[37,136],"ensembles":[38],"using":[39],"high-order":[40],"tensors.":[41],"This":[42],"reduces":[43],"spatio-temporal":[44],"redundancies":[45],"substantially,":[46],"whereas":[47],"computational":[49],"and":[50,89,137,148,158],"memory":[51],"cost":[52],"high.":[54],"In":[55],"this":[56,161],"paper,":[57],"we":[58],"present":[59],"an":[60],"effective":[61],"online":[62],"tensor":[63,80,123,140],"algorithm":[66],"models":[68],"appearance":[70],"changes":[71],"target":[74],"by":[75,95],"incrementally":[76],"low-order":[79],"eigenspace":[81],"through":[83],"adaptively":[84],"updating":[85],"sample":[87,111],"mean":[88],"eigenbasis.":[90],"Tracking":[91],"then":[92],"led":[94],"state":[97],"inference":[98],"within":[99],"particle":[105],"filter":[106],"used":[108],"for":[109],"propagating":[110],"distributions":[112],"over":[113],"time.":[115],"A":[116],"novel":[117],"likelihood":[118],"function,":[119],"based":[120],"on":[121],"reconstruction":[124],"error":[125],"norm,":[126],"developed":[128],"measure":[130],"similarity":[132],"between":[133],"test":[135],"learned":[139],"model":[142],"during":[143],"tracking.":[145],"Theoretic":[146],"experimental":[149],"evaluations":[150],"against":[151],"state-of-the-art":[153],"method":[154],"demonstrate":[155],"promise":[157],"effectiveness":[159],"algorithm.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":16},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
