{"id":"https://openalex.org/W2510184956","doi":"https://doi.org/10.1109/tits.2016.2585663","title":"Visual Object Tracking With Partition Loss Schemes","display_name":"Visual Object Tracking With Partition Loss Schemes","publication_year":2016,"publication_date":"2016-08-15","ids":{"openalex":"https://openalex.org/W2510184956","doi":"https://doi.org/10.1109/tits.2016.2585663","mag":"2510184956"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2016.2585663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2016.2585663","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5100392628","display_name":"Tong Liu","orcid":"https://orcid.org/0000-0001-9555-7511"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tong Liu","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068837264","display_name":"Xiaochun Cao","orcid":"https://orcid.org/0000-0001-7141-708X"},"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/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochun Cao","raw_affiliation_strings":["State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005727907","display_name":"Jianmin Jiang","orcid":"https://orcid.org/0000-0002-7576-3999"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Jiang","raw_affiliation_strings":["Research Institute for Future Media Computing, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Research Institute for Future Media Computing, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100392628"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.339,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.66357581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":"3","first_page":"633","last_page":"642"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9965000152587891,"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":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7530180215835571},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7319102883338928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7218611836433411},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.694577693939209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6405254006385803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6211293935775757},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5961105823516846},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.5593899488449097},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.49431824684143066},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49244484305381775},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4483739137649536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4346250891685486},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4251299202442169},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.2957353889942169},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1636403203010559}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7530180215835571},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7319102883338928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7218611836433411},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.694577693939209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6405254006385803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6211293935775757},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5961105823516846},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.5593899488449097},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.49431824684143066},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49244484305381775},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4483739137649536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4346250891685486},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4251299202442169},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2957353889942169},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1636403203010559},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2016.2585663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2016.2585663","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4845149962","display_name":null,"funder_award_id":"2013CB329305","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6321065486","display_name":null,"funder_award_id":"61373103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6604318282","display_name":null,"funder_award_id":"61422213","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W134197611","https://openalex.org/W1807914171","https://openalex.org/W1849710887","https://openalex.org/W1915599933","https://openalex.org/W1966429191","https://openalex.org/W1973890423","https://openalex.org/W1977709942","https://openalex.org/W1981219153","https://openalex.org/W1982423097","https://openalex.org/W1982764079","https://openalex.org/W1984914017","https://openalex.org/W2001785244","https://openalex.org/W2020510457","https://openalex.org/W2023622049","https://openalex.org/W2050802469","https://openalex.org/W2066513304","https://openalex.org/W2070439088","https://openalex.org/W2080292705","https://openalex.org/W2086383524","https://openalex.org/W2089961441","https://openalex.org/W2094919853","https://openalex.org/W2100138625","https://openalex.org/W2105403175","https://openalex.org/W2109579504","https://openalex.org/W2109654411","https://openalex.org/W2115900659","https://openalex.org/W2117820313","https://openalex.org/W2121193292","https://openalex.org/W2121255229","https://openalex.org/W2121362102","https://openalex.org/W2123947647","https://openalex.org/W2127575804","https://openalex.org/W2127782573","https://openalex.org/W2131076267","https://openalex.org/W2132461991","https://openalex.org/W2136119148","https://openalex.org/W2137938359","https://openalex.org/W2138273245","https://openalex.org/W2152323237","https://openalex.org/W2154429285","https://openalex.org/W2156828505","https://openalex.org/W2162508706","https://openalex.org/W2165065922","https://openalex.org/W2169566837","https://openalex.org/W2179713099","https://openalex.org/W2335586288","https://openalex.org/W4249625263","https://openalex.org/W6605365747","https://openalex.org/W6638399501","https://openalex.org/W6675521158"],"related_works":["https://openalex.org/W3192357901","https://openalex.org/W3036286480","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W4237171675","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W2962677013"],"abstract_inverted_index":{"Object":[0],"tracking":[1,213],"is":[2,22,108,131,179],"a":[3,49,57,121,176,194],"fundamental":[4],"task":[5],"for":[6],"building":[7],"vision":[8],"systems":[9],"of":[10,60,73,80,123,128,151,162,175,196,200,206,217],"automatic":[11],"transportation.":[12],"Despite":[13],"demonstrated":[14],"success":[15],"in":[16,167,215],"this":[17,84],"active":[18],"research":[19],"field,":[20],"it":[21],"still":[23],"difficult":[24],"to":[25,45,54,65,96,110,132,210],"cope":[26],"with":[27],"complicated":[28],"appearance":[29,106],"changes":[30],"caused":[31],"by":[32,115],"background":[33],"clutters,":[34],"illumination":[35],"change,":[36],"scale":[37],"variation,":[38],"deformation,":[39],"rotation,":[40],"and":[41,136,158,220],"occlusion,":[42],"etc.":[43],"Due":[44],"these":[46],"challenging":[47],"factors,":[48],"target":[50,178],"bounding":[51,156],"box":[52],"tends":[53],"easily":[55],"contain":[56],"disturbing":[58,163],"context":[59,164],"background,":[61],"which":[62],"may":[63],"lead":[64],"an":[66,78,88,183],"inaccurate":[67],"localization":[68],"if":[69],"some":[70],"key":[71],"parts":[72],"the":[74,92,98,168,188,204,207],"foreground":[75],"object":[76,172],"share":[77],"excess":[79],"information":[81],"loss.":[82,190],"In":[83],"paper,":[85],"we":[86],"propose":[87],"online":[89],"algorithm":[90],"using":[91],"local":[93,134],"loss":[94,113],"features":[95],"alleviate":[97],"drift":[99],"problem":[100],"during":[101],"tracking.":[102],"An":[103],"adaptive":[104],"block-division":[105],"model":[107],"constructed":[109],"exploit":[111],"patch-based":[112],"representations":[114],"decomposing":[116],"sample":[117],"region":[118],"sequences":[119,199],"into":[120],"set":[122],"subblocks.":[124],"The":[125,171],"basic":[126],"purpose":[127],"partition":[129],"coefficients":[130],"indicate":[133],"relevance":[135],"effectively":[137],"capture":[138],"spatial":[139],"correlation":[140],"through":[141],"measuring":[142],"image":[143],"similarity.":[144],"Namely,":[145],"they":[146],"can":[147],"strengthen":[148],"positive":[149],"effects":[150],"discriminative":[152],"patches":[153],"within":[154],"locating":[155],"boxes":[157],"weaken":[159],"negative":[160],"impacts":[161],"possibly":[165],"included":[166],"surrounding":[169],"regions.":[170],"state":[173],"estimation":[174],"moving":[177],"then":[180],"formulated":[181],"as":[182],"integrated":[184],"likelihood":[185],"evaluation":[186],"on":[187,193],"ensemble":[189],"Experimental":[191],"results":[192],"suite":[195],"representative":[197],"video":[198],"realistic":[201],"scenarios":[202],"demonstrate":[203],"superiority":[205],"proposed":[208],"method":[209],"several":[211],"state-of-the-art":[212],"approaches":[214],"terms":[216],"both":[218],"accuracy":[219],"robustness.":[221]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}