{"id":"https://openalex.org/W3119379899","doi":"https://doi.org/10.1109/tip.2020.3045630","title":"Exploring the Effects of Blur and Deblurring to Visual Object Tracking","display_name":"Exploring the Effects of Blur and Deblurring to Visual Object Tracking","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3119379899","doi":"https://doi.org/10.1109/tip.2020.3045630","mag":"3119379899","pmid":"https://pubmed.ncbi.nlm.nih.gov/33417542"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3045630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3045630","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":["crossref","pubmed"],"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/A5026239594","display_name":"Qing Guo","orcid":"https://orcid.org/0000-0003-0974-9299"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I2800287464","display_name":"State Administration of Cultural Heritage","ror":"https://ror.org/04d0vc473","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800287464"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Qing Guo","raw_affiliation_strings":["Key Research Center for Surface Monitoring and Analysis of Cultural Relics (SMARC), State Administration of Cultural Heritage, Beijing, China","School of Computer Science and Engineering, Nanyang Technological University, Singapore","School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-0974-9299","affiliations":[{"raw_affiliation_string":"Key Research Center for Surface Monitoring and Analysis of Cultural Relics (SMARC), State Administration of Cultural Heritage, Beijing, China","institution_ids":["https://openalex.org/I2800287464"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721881","display_name":"Wei Feng","orcid":"https://orcid.org/0000-0003-3809-1086"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I2800287464","display_name":"State Administration of Cultural Heritage","ror":"https://ror.org/04d0vc473","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800287464"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Feng","raw_affiliation_strings":["Key Research Center for Surface Monitoring and Analysis of Cultural Relics (SMARC), State Administration of Cultural Heritage, Beijing, China","School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-3809-1086","affiliations":[{"raw_affiliation_string":"Key Research Center for Surface Monitoring and Analysis of Cultural Relics (SMARC), State Administration of Cultural Heritage, Beijing, China","institution_ids":["https://openalex.org/I2800287464"]},{"raw_affiliation_string":"School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064121243","display_name":"Ruijun Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I2800287464","display_name":"State Administration of Cultural Heritage","ror":"https://ror.org/04d0vc473","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800287464"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruijun Gao","raw_affiliation_strings":["Key Research Center for Surface Monitoring and Analysis of Cultural Relics (SMARC), State Administration of Cultural Heritage, Beijing, China","School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Research Center for Surface Monitoring and Analysis of Cultural Relics (SMARC), State Administration of Cultural Heritage, Beijing, China","institution_ids":["https://openalex.org/I2800287464"]},{"raw_affiliation_string":"School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355692","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Institute of Computing Innovation, Zhejiang University, Hangzhou, China","School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-7300-9215","affiliations":[{"raw_affiliation_string":"Institute of Computing Innovation, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082259804","display_name":"Song Wang","orcid":"https://orcid.org/0000-0003-4152-5295"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]},{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I2800287464","display_name":"State Administration of Cultural Heritage","ror":"https://ror.org/04d0vc473","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800287464"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["Key Research Center for Surface Monitoring and Analysis of Cultural Relics (SMARC), State Administration of Cultural Heritage, Beijing, China","School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China","University of South Carolina, Columbia, SC, USA"],"raw_orcid":"https://orcid.org/0000-0003-4152-5295","affiliations":[{"raw_affiliation_string":"Key Research Center for Surface Monitoring and Analysis of Cultural Relics (SMARC), State Administration of Cultural Heritage, Beijing, China","institution_ids":["https://openalex.org/I2800287464"]},{"raw_affiliation_string":"School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9935,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.96412027,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"1812","last_page":"1824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991999864578247,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9952999949455261,"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/deblurring","display_name":"Deblurring","score":0.9702311754226685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8724150657653809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8195408582687378},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.8021789789199829},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7297711372375488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6748710870742798},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5656670928001404},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5529612302780151},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5296399593353271},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5257095694541931},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46412989497184753},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4497315287590027},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.27005064487457275},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2523484528064728},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20290276408195496},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06621420383453369}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9702311754226685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8724150657653809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8195408582687378},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.8021789789199829},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7297711372375488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6748710870742798},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5656670928001404},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5529612302780151},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5296399593353271},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5257095694541931},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46412989497184753},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4497315287590027},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.27005064487457275},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2523484528064728},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20290276408195496},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06621420383453369},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2020.3045630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3045630","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:33417542","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33417542","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}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G171606249","display_name":null,"funder_award_id":"U1803264","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2509500660","display_name":null,"funder_award_id":"61671325","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3462807737","display_name":null,"funder_award_id":"61906135","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3704551478","display_name":"\u57fa\u4e8e\u4e3b\u52a8\u89c6\u89c9\u7684\u5f00\u653e\u73af\u5883\u9ad8\u503c\u76ee\u6807\u5fae\u53d8\u76d1\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62072334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5028231298","display_name":null,"funder_award_id":"61672376","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":112,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W161114242","https://openalex.org/W818325216","https://openalex.org/W1508971171","https://openalex.org/W1710476689","https://openalex.org/W1857884451","https://openalex.org/W1915785815","https://openalex.org/W1916935112","https://openalex.org/W1955741794","https://openalex.org/W2015682181","https://openalex.org/W2066513826","https://openalex.org/W2071098456","https://openalex.org/W2072921527","https://openalex.org/W2086383524","https://openalex.org/W2089961441","https://openalex.org/W2112107661","https://openalex.org/W2118345389","https://openalex.org/W2124964692","https://openalex.org/W2126302311","https://openalex.org/W2130026429","https://openalex.org/W2139047213","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2158827467","https://openalex.org/W2165037244","https://openalex.org/W2186330282","https://openalex.org/W2214352687","https://openalex.org/W2470394683","https://openalex.org/W2513005088","https://openalex.org/W2518876086","https://openalex.org/W2520477759","https://openalex.org/W2528183205","https://openalex.org/W2557641257","https://openalex.org/W2558899534","https://openalex.org/W2560533888","https://openalex.org/W2579111433","https://openalex.org/W2598042504","https://openalex.org/W2599547527","https://openalex.org/W2605173812","https://openalex.org/W2681067697","https://openalex.org/W2748399257","https://openalex.org/W2771390659","https://openalex.org/W2776035257","https://openalex.org/W2787272945","https://openalex.org/W2787839673","https://openalex.org/W2790194629","https://openalex.org/W2794744029","https://openalex.org/W2799148928","https://openalex.org/W2886910176","https://openalex.org/W2888456413","https://openalex.org/W2891033863","https://openalex.org/W2891511203","https://openalex.org/W2894176037","https://openalex.org/W2897083235","https://openalex.org/W2898200825","https://openalex.org/W2912465472","https://openalex.org/W2917435394","https://openalex.org/W2947059957","https://openalex.org/W2950533208","https://openalex.org/W2955747520","https://openalex.org/W2962879692","https://openalex.org/W2963030525","https://openalex.org/W2963227409","https://openalex.org/W2963312584","https://openalex.org/W2963373786","https://openalex.org/W2963470893","https://openalex.org/W2963521568","https://openalex.org/W2963534981","https://openalex.org/W2963917315","https://openalex.org/W2964030969","https://openalex.org/W2964069521","https://openalex.org/W2964111344","https://openalex.org/W2964242925","https://openalex.org/W2964423614","https://openalex.org/W2972392244","https://openalex.org/W2989982877","https://openalex.org/W2990211277","https://openalex.org/W2991778094","https://openalex.org/W2996167212","https://openalex.org/W3001584168","https://openalex.org/W3031594087","https://openalex.org/W3033949646","https://openalex.org/W3035453691","https://openalex.org/W3087885918","https://openalex.org/W3101481520","https://openalex.org/W3101708136","https://openalex.org/W3102624093","https://openalex.org/W3110076132","https://openalex.org/W4295521014","https://openalex.org/W4298289240","https://openalex.org/W6606595081","https://openalex.org/W6623108133","https://openalex.org/W6637568146","https://openalex.org/W6677161833","https://openalex.org/W6678856934","https://openalex.org/W6679027886","https://openalex.org/W6684332838","https://openalex.org/W6718379498","https://openalex.org/W6720898849","https://openalex.org/W6726083677","https://openalex.org/W6726654379","https://openalex.org/W6730584787","https://openalex.org/W6735913928","https://openalex.org/W6753818355","https://openalex.org/W6754142767","https://openalex.org/W6754654878","https://openalex.org/W6755863804","https://openalex.org/W6770219891","https://openalex.org/W6771158474","https://openalex.org/W6775175412","https://openalex.org/W6779669310","https://openalex.org/W6783083507"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W4229459996","https://openalex.org/W2232201529","https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W2558246008","https://openalex.org/W4293737289","https://openalex.org/W4391468564","https://openalex.org/W791927757"],"abstract_inverted_index":{"The":[0],"existence":[1],"of":[2,10,21,27,30,36,90,95,108,143,173,228],"motion":[3,31,96,137,194],"blur":[4,32,109,138,148,208],"can":[5,45,62,202],"inevitably":[6],"influence":[7],"the":[8,18,24,34,106,122,141,151,171,216,226],"performance":[9,35,172],"visual":[11,22,37,52,59,113],"object":[12,60,114],"tracking.":[13],"However,":[14],"in":[15],"contrast":[16],"to":[17,80,112,162,177,188,193,210,223],"rapid":[19],"development":[20],"trackers,":[23,145],"quantitative":[25],"effects":[26,107],"increasing":[28],"levels":[29,94],"on":[33,121,166,232],"trackers":[38,120,231],"still":[39],"remain":[40],"unstudied.":[41],"Meanwhile,":[42],"although":[43],"image-deblurring":[44],"produce":[46],"visually":[47],"sharp":[48],"videos":[49,91,168],"for":[50],"pleasant":[51],"perception,":[53],"it":[54],"is":[55,160],"also":[56,155],"unknown":[57],"whether":[58],"tracking":[61,102,152,164,217],"benefit":[63],"from":[64],"image":[65,158],"deblurring":[66,111,159,214],"or":[67],"not.":[68],"In":[69,196],"this":[70,197,221],"paper,":[71],"we":[72,116,133,180],"present":[73],"a":[74,87,183,190,199],"Blurred":[75],"Video":[76],"Tracking":[77],"(BVT)":[78],"benchmark":[79,125],"address":[81],"these":[82,178],"two":[83],"problems,":[84],"which":[85],"contains":[86],"large":[88],"variety":[89],"with":[92],"different":[93],"blurs,":[97],"as":[98,100,205],"well":[99],"ground-truth":[101],"results.":[103],"To":[104],"explore":[105],"and":[110,126],"tracking,":[115],"extensively":[117],"evaluate":[118],"25":[119],"proposed":[123],"BVT":[124],"obtain":[127],"several":[128],"new":[129,184],"interesting":[130],"findings.":[131],"Specifically,":[132],"find":[134],"that":[135,157],"light":[136],"may":[139],"improve":[140,163,189,225],"accuracy":[142,165,227],"many":[144],"but":[146,169],"heavy":[147],"usually":[149],"hurts":[150,170],"performance.":[153],"We":[154,219],"observe":[156],"helpful":[161],"heavily-blurred":[167],"lightly-blurred":[174],"videos.":[175,234],"According":[176],"observations,":[179],"then":[181],"propose":[182],"general":[185],"GAN-based":[186],"scheme":[187,222],"tracker's":[191],"robustness":[192],"blur.":[195],"scheme,":[198],"fine-tuned":[200],"discriminator":[201],"effectively":[203],"serve":[204],"an":[206],"adaptive":[207],"assessor":[209],"enable":[211],"selective":[212],"frames":[213],"during":[215],"process.":[218],"use":[220],"successfully":[224],"6":[229],"state-of-the-art":[230],"motion-blurred":[233]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
