{"id":"https://openalex.org/W1892578678","doi":"https://doi.org/10.1109/cvpr.2015.7299094","title":"Correlation filters with limited boundaries","display_name":"Correlation filters with limited boundaries","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1892578678","doi":"https://doi.org/10.1109/cvpr.2015.7299094","mag":"1892578678"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5004859772","display_name":"Hamed Kiani Galoogahi","orcid":null},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Hamed Kiani Galoogahi","raw_affiliation_strings":["lstituto Italiano di Tecnologia, Genova, Italy","Istituto Italiano di Tecnologia, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"lstituto Italiano di Tecnologia, Genova, Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"Istituto Italiano di Tecnologia, Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065478753","display_name":"Terence Sim","orcid":"https://orcid.org/0000-0002-0198-094X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Terence Sim","raw_affiliation_strings":["National University of Singapore, Singapore","Nat. Univ. of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Nat. Univ. of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055053078","display_name":"Simon Lucey","orcid":"https://orcid.org/0000-0002-6326-042X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simon Lucey","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004859772"],"corresponding_institution_ids":["https://openalex.org/I30771326"],"apc_list":null,"apc_paid":null,"fwci":20.5749,"has_fulltext":false,"cited_by_count":368,"citation_normalized_percentile":{"value":0.99518836,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4630","last_page":"4638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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":0.9972000122070312,"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/robustness","display_name":"Robustness (evolution)","score":0.7391740679740906},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6313936710357666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5534699559211731},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5093270540237427},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5015039443969727},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49985218048095703},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.47998902201652527},{"id":"https://openalex.org/keywords/fourier-domain","display_name":"Fourier domain","score":0.4703809320926666},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4535582363605499},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.42344358563423157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38584935665130615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2824135720729828},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2129630446434021}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7391740679740906},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6313936710357666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5534699559211731},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5093270540237427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5015039443969727},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49985218048095703},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.47998902201652527},{"id":"https://openalex.org/C3019555358","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Fourier domain","level":3,"score":0.4703809320926666},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4535582363605499},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.42344358563423157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38584935665130615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2824135720729828},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2129630446434021},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/cvpr.2015.7299094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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":37,"referenced_works":["https://openalex.org/W82130502","https://openalex.org/W161114242","https://openalex.org/W193981306","https://openalex.org/W1433355268","https://openalex.org/W1807914171","https://openalex.org/W1964846093","https://openalex.org/W1971594200","https://openalex.org/W1987988269","https://openalex.org/W1994050695","https://openalex.org/W2000326692","https://openalex.org/W2068301629","https://openalex.org/W2072528130","https://openalex.org/W2075742732","https://openalex.org/W2098941887","https://openalex.org/W2105594236","https://openalex.org/W2109579504","https://openalex.org/W2116247607","https://openalex.org/W2118508489","https://openalex.org/W2121193292","https://openalex.org/W2128696435","https://openalex.org/W2132065020","https://openalex.org/W2139047213","https://openalex.org/W2149829493","https://openalex.org/W2154889144","https://openalex.org/W2164278908","https://openalex.org/W2164598857","https://openalex.org/W2167089254","https://openalex.org/W2293078015","https://openalex.org/W4205265922","https://openalex.org/W4231340930","https://openalex.org/W4292363360","https://openalex.org/W6603374121","https://openalex.org/W6606595081","https://openalex.org/W6628579274","https://openalex.org/W6638399501","https://openalex.org/W6682922062","https://openalex.org/W6684274140"],"related_works":["https://openalex.org/W2126462611","https://openalex.org/W4285277379","https://openalex.org/W2154006453","https://openalex.org/W2053880394","https://openalex.org/W4287896637","https://openalex.org/W2092568667","https://openalex.org/W1548064913","https://openalex.org/W3141701162","https://openalex.org/W2125374190","https://openalex.org/W2082058201"],"abstract_inverted_index":{"Correlation":[0],"filters":[1],"take":[2],"advantage":[3,128],"of":[4,48,61,97,129,170],"specific":[5],"properties":[6],"in":[7,21,64,133,168],"the":[8,22,46,65,134],"Fourier":[9],"domain":[10],"allowing":[11],"them":[12],"to":[13,52,69,121,146],"be":[14],"estimated":[15],"efficiently:":[16],"O(N":[17],"D":[18,32,39],"log":[19],"D)":[20],"frequency":[23,135],"domain,":[24,136],"versus":[25],"O(D":[26],"<sup":[27,33],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[28,34],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[29],"+":[30],"N":[31,44],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[35],")":[36],"spatially":[37],"where":[38],"is":[40,45,144],"signal":[41],"length,":[42],"and":[43,72,142,163,173],"number":[47],"signals.":[49],"Recent":[50],"extensions":[51],"correlation":[53,122],"filters,":[54],"such":[55],"as":[56],"MOSSE,":[57],"have":[58],"reignited":[59],"interest":[60],"their":[62,70],"use":[63],"vision":[66],"community":[67],"due":[68],"robustness":[71],"attractive":[73],"computational":[74,84,131,174],"properties.":[75],"In":[76,113],"this":[77,83,114],"paper":[78],"we":[79,91,116],"demonstrate,":[80],"however,":[81],"that":[82,93],"efficiency":[85],"comes":[86],"at":[87],"a":[88,107,118],"cost.":[89],"Specifically,":[90],"demonstrate":[92],"only":[94],"1/D":[95],"proportion":[96],"shifted":[98],"examples":[99,156],"are":[100,166],"unaffected":[101],"by":[102],"boundary":[103,140],"effects":[104],"which":[105],"has":[106],"dramatic":[108],"effect":[109],"on":[110],"detection/tracking":[111],"performance.":[112],"paper,":[115],"propose":[117],"novel":[119],"approach":[120],"filter":[123],"estimation":[124],"that:":[125],"(i)":[126],"takes":[127],"inherent":[130],"redundancies":[132],"(ii)":[137],"dramatically":[138],"reduces":[139],"effects,":[141],"(iii)":[143],"able":[145],"implicitly":[147],"exploit":[148],"all":[149],"possible":[150],"patches":[151],"densely":[152],"extracted":[153],"from":[154],"training":[155],"during":[157],"learning":[158],"process.":[159],"Impressive":[160],"object":[161],"tracking":[162],"detection":[164],"results":[165],"presented":[167],"terms":[169],"both":[171],"accuracy":[172],"efficiency.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":35},{"year":2020,"cited_by_count":65},{"year":2019,"cited_by_count":99},{"year":2018,"cited_by_count":68},{"year":2017,"cited_by_count":30},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}