{"id":"https://openalex.org/W2015682181","doi":"https://doi.org/10.1109/tcsvt.2015.2406231","title":"Severely Blurred Object Tracking by Learning Deep Image Representations","display_name":"Severely Blurred Object Tracking by Learning Deep Image Representations","publication_year":2015,"publication_date":"2015-02-20","ids":{"openalex":"https://openalex.org/W2015682181","doi":"https://doi.org/10.1109/tcsvt.2015.2406231","mag":"2015682181"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2015.2406231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2015.2406231","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5101941113","display_name":"Jianwei Ding","orcid":"https://orcid.org/0000-0003-1686-1940"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianwei Ding","raw_affiliation_strings":["People\u2019s Public Security University of China, Beijing, China","People's Public Security University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"People\u2019s Public Security University of China, Beijing, China","institution_ids":["https://openalex.org/I37448385"]},{"raw_affiliation_string":"People's Public Security University of China, Beijing, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024579621","display_name":"Yongzhen Huang","orcid":"https://orcid.org/0000-0003-4389-9805"},"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":"Yongzhen Huang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735254","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-9897-1213"},"institutions":[{"id":"https://openalex.org/I4210110718","display_name":"Nanyang Normal University","ror":"https://ror.org/01f7yer47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110718"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Nanyang Normal University, Henan, China"],"affiliations":[{"raw_affiliation_string":"Nanyang Normal University, Henan, China","institution_ids":["https://openalex.org/I4210110718"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028693655","display_name":"Kaiqi Huang","orcid":"https://orcid.org/0000-0002-2677-9273"},"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":"Kaiqi Huang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101941113"],"corresponding_institution_ids":["https://openalex.org/I37448385"],"apc_list":null,"apc_paid":null,"fwci":2.9455,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94065525,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":"2","first_page":"319","last_page":"331"},"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/T11448","display_name":"Face recognition and analysis","score":0.9986000061035156,"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":0.9980999827384949,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8665388822555542},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8598496913909912},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.7055665254592896},{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.6942554712295532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6496517658233643},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.623982310295105},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5578497648239136},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.5494356751441956},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.47088274359703064},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.4447680115699768},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.43469446897506714},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.38125038146972656},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.36990126967430115},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2583484649658203},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2457045316696167},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.21943160891532898}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8665388822555542},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8598496913909912},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.7055665254592896},{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.6942554712295532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6496517658233643},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.623982310295105},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5578497648239136},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.5494356751441956},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.47088274359703064},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.4447680115699768},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.43469446897506714},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.38125038146972656},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.36990126967430115},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2583484649658203},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2457045316696167},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.21943160891532898},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2015.2406231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2015.2406231","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2124289225","display_name":null,"funder_award_id":"61402484","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4654020922","display_name":null,"funder_award_id":"61203252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7644201192","display_name":null,"funder_award_id":"2014JKF01116","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W37808110","https://openalex.org/W44815768","https://openalex.org/W104211377","https://openalex.org/W1483307070","https://openalex.org/W1807914171","https://openalex.org/W1974978785","https://openalex.org/W1995903777","https://openalex.org/W2000326692","https://openalex.org/W2003060733","https://openalex.org/W2022508996","https://openalex.org/W2025768430","https://openalex.org/W2060814785","https://openalex.org/W2072921527","https://openalex.org/W2086383524","https://openalex.org/W2089961441","https://openalex.org/W2098854771","https://openalex.org/W2098941887","https://openalex.org/W2109579504","https://openalex.org/W2112107661","https://openalex.org/W2118097920","https://openalex.org/W2120286341","https://openalex.org/W2124211486","https://openalex.org/W2132103241","https://openalex.org/W2139047213","https://openalex.org/W2145607950","https://openalex.org/W2158917775","https://openalex.org/W2159128898","https://openalex.org/W2161893161","https://openalex.org/W2162741153","https://openalex.org/W2163605009","https://openalex.org/W2165037244","https://openalex.org/W2543696449","https://openalex.org/W2986028972","https://openalex.org/W3118608800","https://openalex.org/W4214815024","https://openalex.org/W6601564413","https://openalex.org/W6604310120","https://openalex.org/W6638399501","https://openalex.org/W6665839387","https://openalex.org/W6677161833","https://openalex.org/W6677907805","https://openalex.org/W6683819664","https://openalex.org/W6684191040","https://openalex.org/W6684332838","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W2557898294","https://openalex.org/W2031788393","https://openalex.org/W2232201529","https://openalex.org/W2558246008","https://openalex.org/W4293737289","https://openalex.org/W2359633702","https://openalex.org/W2033307681","https://openalex.org/W3153582293"],"abstract_inverted_index":{"An":[0],"implicit":[1],"assumption":[2],"in":[3,21,142,161,167],"many":[4],"generic":[5,28,56],"object":[6,29,57,62,69,98,139],"trackers":[7],"is":[8,18,36,77,86],"that":[9,151],"the":[10,90,106,110,119,124,127,134,138,143,152],"videos":[11,39,164],"are":[12,103,116,140],"blur":[13,17,114],"free.":[14],"However,":[15],"motion":[16,42,135],"very":[19],"common":[20],"real":[22],"videos.":[23],"The":[24],"performance":[25],"of":[26,74,93,126,137],"a":[27,49,55,60,71,94],"tracker":[30,58,63],"may":[31],"drop":[32],"significantly":[33],"when":[34],"it":[35],"applied":[37],"to":[38,53,59,79,89,122,130],"with":[40,118],"severe":[41,131],"blur.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"propose":[48],"new":[50],"Tracking-Learning-Data":[51],"approach":[52],"transfer":[54],"blur-invariant":[61],"without":[64],"deblurring":[65],"image":[66],"sequences.":[67],"Before":[68],"tracking,":[70,99],"large":[72],"set":[73],"unlabeled":[75],"images":[76],"used":[78],"learn":[80],"objects'":[81],"visual":[82],"prior":[83],"knowledge,":[84],"which":[85],"then":[87],"transferred":[88],"appearance":[91,128],"model":[92,129],"specific":[95],"target.":[96],"During":[97],"online":[100],"training":[101,120],"samples":[102,121],"collected":[104],"from":[105],"tracking":[107],"results":[108,149],"and":[109,133],"context":[111],"information.":[112],"Different":[113],"kernels":[115],"involved":[117],"increase":[123],"robustness":[125],"blur,":[132],"parameters":[136],"estimated":[141],"particle":[144],"filter":[145],"framework.":[146],"Extensive":[147],"experimental":[148],"demonstrate":[150],"proposed":[153],"algorithm":[154],"can":[155],"robustly":[156],"track":[157],"objects":[158],"not":[159],"only":[160],"severely":[162],"blurred":[163],"but":[165],"also":[166],"other":[168],"challenging":[169],"scenes.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}