{"id":"https://openalex.org/W2810033788","doi":"https://doi.org/10.1109/tip.2019.2905984","title":"State-Aware Anti-Drift Object Tracking","display_name":"State-Aware Anti-Drift Object Tracking","publication_year":2019,"publication_date":"2019-03-18","ids":{"openalex":"https://openalex.org/W2810033788","doi":"https://doi.org/10.1109/tip.2019.2905984","mag":"2810033788","pmid":"https://pubmed.ncbi.nlm.nih.gov/30892207"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2905984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2905984","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":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1806.10759","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yuqi Han","orcid":"https://orcid.org/0000-0001-7905-0163"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Han","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7905-0163","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chenwei Deng","orcid":"https://orcid.org/0000-0002-3747-5128"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenwei Deng","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3747-5128","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Baojun Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baojun Zhao","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["UBTECH Sydney Artificial Intelligence Centre, Faculty of Engineering and Information Technologies, School of Computer Science, The University of Sydney, Darlington, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7225-5449","affiliations":[{"raw_affiliation_string":"UBTECH Sydney Artificial Intelligence Centre, Faculty of Engineering and Information Technologies, School of Computer Science, The University of Sydney, Darlington, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3557,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.93977042,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"28","issue":"8","first_page":"4075","last_page":"4086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9829999804496765,"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":0.9829999804496765,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.002199999988079071,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.0010999999940395355,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7440999746322632},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7210000157356262},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5090000033378601},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4296000003814697},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.3720000088214874},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.36899998784065247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3652999997138977},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.3571999967098236}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7440999746322632},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7210000157356262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7174000144004822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858999729156494},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6671000123023987},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5090000033378601},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4296000003814697},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.36899998784065247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3652999997138977},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3571999967098236},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.34709998965263367},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.31369999051094055},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.2529999911785126}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2019.2905984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2905984","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:30892207","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30892207","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},{"id":"pmh:oai:arXiv.org:1806.10759","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.10759","pdf_url":"https://arxiv.org/pdf/1806.10759","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1806.10759","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.10759","pdf_url":"https://arxiv.org/pdf/1806.10759","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5219481562","display_name":"\u4efb\u52a1\u9a71\u52a8\u7684\u9065\u611f\u6570\u636e\u661f\u5730\u534f\u540c\u9ad8\u6548\u5904\u7406\u673a\u5236\u4e0e\u65b9\u6cd5","funder_award_id":"91438203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5711944514","display_name":null,"funder_award_id":"DP-180103424","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G7519899501","display_name":null,"funder_award_id":"FL-170100117","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G7983224991","display_name":null,"funder_award_id":"IH-180100002","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W134197611","https://openalex.org/W1554825167","https://openalex.org/W1904671147","https://openalex.org/W1915599933","https://openalex.org/W1955514522","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W2044986361","https://openalex.org/W2089961441","https://openalex.org/W2098941887","https://openalex.org/W2104446196","https://openalex.org/W2118345389","https://openalex.org/W2124211486","https://openalex.org/W2129587342","https://openalex.org/W2139047213","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2214352687","https://openalex.org/W2244956674","https://openalex.org/W2273376582","https://openalex.org/W2380373457","https://openalex.org/W2469582947","https://openalex.org/W2470394683","https://openalex.org/W2473868734","https://openalex.org/W2518013266","https://openalex.org/W2520438127","https://openalex.org/W2520477759","https://openalex.org/W2556556019","https://openalex.org/W2558899534","https://openalex.org/W2599547527","https://openalex.org/W2601539740","https://openalex.org/W2681067697","https://openalex.org/W2756057496","https://openalex.org/W2768166594","https://openalex.org/W2794210977","https://openalex.org/W2907574584","https://openalex.org/W2912058580","https://openalex.org/W2913483483","https://openalex.org/W2962824803","https://openalex.org/W2963945179","https://openalex.org/W2964111344","https://openalex.org/W4292363360","https://openalex.org/W6607635097","https://openalex.org/W6623108133","https://openalex.org/W6638992375","https://openalex.org/W6649598916","https://openalex.org/W6677907805","https://openalex.org/W6683886257","https://openalex.org/W6695416801","https://openalex.org/W6726654379"],"related_works":[],"abstract_inverted_index":{"Correlation":[0],"filter":[1,31,107,116,136],"(CF)":[2],"based":[3],"trackers":[4],"have":[5,63],"aroused":[6],"increasing":[7],"attentions":[8],"in":[9,34,95,106,167],"visual":[10],"tracking":[11,55,180],"field":[12],"due":[13],"to":[14,36,66,76,119,133,137,177,199],"the":[15,38,46,57,64,68,78,101,122,135,149,179,201,216,221],"superior":[16],"performance":[17],"on":[18,139,194],"several":[19],"datasets":[20,198],"while":[21],"maintaining":[22],"high":[23],"running":[24],"speed.":[25],"For":[26],"each":[27],"frame,":[28],"an":[29],"ideal":[30],"is":[32,131,175],"trained":[33,58],"order":[35],"discriminate":[37],"target":[39,47,123],"from":[40,124],"its":[41],"surrounding":[42],"background.":[43],"Considering":[44],"that":[45,148],"always":[48],"undergoes":[49],"external":[50],"and":[51,103,163,196,211,218],"internal":[52],"interference":[53],"during":[54],"procedure,":[56],"tracker":[59,203],"should":[60],"not":[61],"only":[62],"ability":[65],"judge":[67],"current":[69],"state":[70],"when":[71],"failure":[72],"occurs,":[73],"but":[74],"also":[75],"resist":[77],"model":[79,100],"drift":[80],"caused":[81],"by":[82],"challenging":[83],"distractions.":[84],"To":[85],"this":[86,96],"end,":[87],"we":[88],"present":[89],"a":[90,127,171,186],"State-aware":[91],"Anti-drift":[92],"Tracker":[93],"(SAT)":[94],"paper,":[97],"which":[98],"jointly":[99],"discrimination":[102],"reliability":[104],"information":[105],"learning.":[108],"Specifically,":[109],"global":[110],"context":[111],"patches":[112],"are":[113,192],"incorporated":[114],"into":[115],"training":[117],"stage":[118],"better":[120],"distinguish":[121],"backgrounds.":[125],"Meanwhile,":[126],"color-based":[128],"reliable":[129,141],"mask":[130],"learned":[132],"encourage":[134],"focus":[138],"more":[140],"regions":[142],"suitable":[143],"for":[144],"tracking.":[145],"We":[146],"show":[147],"proposed":[150,222],"optimization":[151],"problem":[152],"could":[153],"be":[154],"efficiently":[155],"solved":[156],"using":[157],"Alternative":[158],"Direction":[159],"Method":[160],"of":[161,220],"Multipliers":[162],"fully":[164],"carried":[165],"out":[166],"Fourier":[168],"domain.":[169],"Furthermore,":[170],"Kurtosis-based":[172],"updating":[173],"scheme":[174],"advocated":[176],"reveal":[178],"condition":[181],"as":[182,184],"well":[183],"guarantee":[185],"high-confidence":[187],"template":[188],"updating.":[189],"Extensive":[190],"experiments":[191],"conducted":[193],"OTB-100":[195],"UAV-20L":[197],"compare":[200],"SAT":[202],"with":[204],"other":[205],"relevant":[206],"state-of-the-art":[207],"methods.":[208],"Both":[209],"quantitative":[210],"qualitative":[212],"evaluations":[213],"further":[214],"demonstrate":[215],"effectiveness":[217],"robustness":[219],"work.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2018-07-10T00:00:00"}