{"id":"https://openalex.org/W2575309760","doi":"https://doi.org/10.1109/vcip.2016.7805489","title":"Structured low rank tracker with smoothed regularization","display_name":"Structured low rank tracker with smoothed regularization","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2575309760","doi":"https://doi.org/10.1109/vcip.2016.7805489","mag":"2575309760"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2016.7805489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","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/A5088609880","display_name":"Baojie Fan","orcid":"https://orcid.org/0000-0002-1627-9726"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baojie Fan","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006477225","display_name":"Yang Cong","orcid":"https://orcid.org/0000-0002-5102-0189"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Cong","raw_affiliation_strings":["State Key Laboratory of Robotics, Chinese Academy of Science, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Chinese Academy of Science, Shenyang, China","institution_ids":["https://openalex.org/I142078773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014108121","display_name":"Xiaomao Li","orcid":"https://orcid.org/0000-0001-6374-1488"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomao Li","raw_affiliation_strings":["State Key Laboratory of Robotics, Chinese Academy of Science, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Chinese Academy of Science, Shenyang, China","institution_ids":["https://openalex.org/I142078773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091319287","display_name":"Yandong Tang","orcid":"https://orcid.org/0000-0003-3805-7654"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yandong Tang","raw_affiliation_strings":["School of Mechatronic Engineering and Automaion, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automaion, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088609880"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.1733,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60476052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9783999919891357,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9717000126838684,"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/regularization","display_name":"Regularization (linguistics)","score":0.7398372888565063},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6284764409065247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5324837565422058},{"id":"https://openalex.org/keywords/proximal-gradient-methods-for-learning","display_name":"Proximal gradient methods for learning","score":0.5174884796142578},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.504965603351593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4563920199871063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45086392760276794},{"id":"https://openalex.org/keywords/regularization-perspectives-on-support-vector-machines","display_name":"Regularization perspectives on support vector machines","score":0.42902329564094543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3545812666416168},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3376990556716919},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.24025458097457886},{"id":"https://openalex.org/keywords/tikhonov-regularization","display_name":"Tikhonov regularization","score":0.13505974411964417}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7398372888565063},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6284764409065247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5324837565422058},{"id":"https://openalex.org/C79248915","wikidata":"https://www.wikidata.org/wiki/Q17086776","display_name":"Proximal gradient methods for learning","level":5,"score":0.5174884796142578},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.504965603351593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4563920199871063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45086392760276794},{"id":"https://openalex.org/C141718189","wikidata":"https://www.wikidata.org/wiki/Q7309628","display_name":"Regularization perspectives on support vector machines","level":4,"score":0.42902329564094543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3545812666416168},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3376990556716919},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.24025458097457886},{"id":"https://openalex.org/C152442038","wikidata":"https://www.wikidata.org/wiki/Q2778212","display_name":"Tikhonov regularization","level":3,"score":0.13505974411964417},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2016.7805489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1560733133","https://openalex.org/W1667473330","https://openalex.org/W1963932623","https://openalex.org/W1977709942","https://openalex.org/W1981219153","https://openalex.org/W2016075127","https://openalex.org/W2021345820","https://openalex.org/W2027021064","https://openalex.org/W2043767314","https://openalex.org/W2048023990","https://openalex.org/W2060814785","https://openalex.org/W2089961441","https://openalex.org/W2094919853","https://openalex.org/W2118097920","https://openalex.org/W2162383208","https://openalex.org/W2210145070","https://openalex.org/W3105835503","https://openalex.org/W6677907805"],"related_works":["https://openalex.org/W1481686068","https://openalex.org/W2081588180","https://openalex.org/W2366023887","https://openalex.org/W1989857057","https://openalex.org/W1943431218","https://openalex.org/W2258635466","https://openalex.org/W2080188834","https://openalex.org/W2034445081","https://openalex.org/W51219890","https://openalex.org/W2155823647"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,42],"structured":[6,31,76],"low":[7,32,77],"rank":[8,33,78],"learning":[9,79],"algorithm":[10],"with":[11,30,109],"smoothed":[12,72],"regularization":[13,34,67],"for":[14],"robust":[15],"object":[16],"tracking,":[17],"under":[18],"particle":[19],"filter":[20],"framework.":[21],"Specifically,":[22],"the":[23,26,39,55,60,71,74,97,105,118],"relationships":[24],"among":[25],"particles":[27],"are":[28],"exploited":[29],"term,":[35],"and":[36,64,92],"simultaneously":[37],"handle":[38],"outlier":[40],"using":[41],"group":[43],"sparsity":[44],"regularization.":[45],"The":[46],"label":[47],"information":[48],"from":[49],"training":[50],"data":[51],"is":[52,101],"incorporated":[53],"into":[54],"tracking":[56,112],"objective":[57],"function":[58],"as":[59],"classification":[61],"error":[62],"term":[63,68],"idea":[65],"coding":[66],"respectively.":[69],"By":[70],"regularization,":[73],"developed":[75,102],"based":[80],"tracker":[81],"can":[82],"be":[83],"efficiently":[84],"solved":[85],"by":[86],"iterative":[87],"reweighed":[88],"least":[89],"squares":[90],"algorithm(IRLS),":[91],"avoids":[93],"svd":[94],"operation.":[95],"Moreover,":[96],"collaborate":[98],"normalized":[99],"metric":[100],"to":[103],"find":[104],"best":[106],"candidate.":[107],"Compared":[108],"some":[110],"state-of-the-art":[111],"methods":[113],"on":[114],"50":[115],"challenging":[116],"sequences,":[117],"proposed":[119],"algorithms":[120],"perform":[121],"well":[122],"in":[123],"terms":[124],"of":[125],"accuracy,":[126],"robustness.":[127]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}