{"id":"https://openalex.org/W2740006294","doi":"https://doi.org/10.24963/ijcai.2017/309","title":"CFNN: Correlation Filter Neural Network for Visual Object Tracking","display_name":"CFNN: Correlation Filter Neural Network for Visual Object Tracking","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2740006294","doi":"https://doi.org/10.24963/ijcai.2017/309","mag":"2740006294"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/309","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/309","pdf_url":"https://www.ijcai.org/proceedings/2017/0309.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0309.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100709798","display_name":"Yang Li","orcid":"https://orcid.org/0000-0001-9427-7665"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071272571","display_name":"Xu Zhan","orcid":"https://orcid.org/0000-0003-2816-9791"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhan Xu","raw_affiliation_strings":["University of Massachusetts Amherst"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062252650","display_name":"Jianke Zhu","orcid":"https://orcid.org/0000-0003-1831-0106"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Jianke Zhu","raw_affiliation_strings":["Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies","Zhejiang University","Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies 1,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies 1,","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2222","last_page":"2229"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9897000193595886,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8312292098999023},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.8275921940803528},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8022485971450806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7350809574127197},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7203494310379028},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6941836476325989},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.591417670249939},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5566890835762024},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5462217330932617},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4965363144874573},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49005019664764404},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48175501823425293},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.47255250811576843},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4263269603252411},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4223073422908783},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.26693445444107056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8312292098999023},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8275921940803528},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8022485971450806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7350809574127197},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7203494310379028},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6941836476325989},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.591417670249939},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5566890835762024},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5462217330932617},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4965363144874573},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49005019664764404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48175501823425293},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.47255250811576843},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4263269603252411},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4223073422908783},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.26693445444107056},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/309","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/309","pdf_url":"https://www.ijcai.org/proceedings/2017/0309.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/309","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/309","pdf_url":"https://www.ijcai.org/proceedings/2017/0309.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G7335984907","display_name":null,"funder_award_id":"2016YFB1001501","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2740006294.pdf","grobid_xml":"https://content.openalex.org/works/W2740006294.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W134197611","https://openalex.org/W818325216","https://openalex.org/W1857884451","https://openalex.org/W1908905119","https://openalex.org/W1937954682","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2089961441","https://openalex.org/W2104931463","https://openalex.org/W2108598243","https://openalex.org/W2118097920","https://openalex.org/W2118276639","https://openalex.org/W2130026429","https://openalex.org/W2149829493","https://openalex.org/W2154889144","https://openalex.org/W2159686933","https://openalex.org/W2161969291","https://openalex.org/W2162349892","https://openalex.org/W2168356304","https://openalex.org/W2186330282","https://openalex.org/W2211629196","https://openalex.org/W2244956674","https://openalex.org/W2280723172","https://openalex.org/W2340000481","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2618530766","https://openalex.org/W2951584184","https://openalex.org/W2953066166","https://openalex.org/W2964253307","https://openalex.org/W3098217967","https://openalex.org/W4239072543","https://openalex.org/W4256462001"],"related_works":["https://openalex.org/W2803618243","https://openalex.org/W256589335","https://openalex.org/W3020706491","https://openalex.org/W4385454113","https://openalex.org/W2804764393","https://openalex.org/W4386114301","https://openalex.org/W4386158955","https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W2012200063"],"abstract_inverted_index":{"Albeit":[0],"convolutional":[1],"neural":[2],"network":[3,98,113],"(CNN)":[4],"has":[5],"shown":[6],"promising":[7,153],"capacity":[8],"in":[9,42,52,120],"many":[10],"computer":[11],"vision":[12],"tasks,":[13],"applying":[14],"it":[15],"to":[16,32,105,122,138,156],"visual":[17,72],"tracking":[18,73,128],"is":[19,78],"yet":[20],"far":[21],"from":[22,38,118],"solved.":[23],"Existing":[24],"methods":[25],"either":[26],"employ":[27],"a":[28,53,60,70,79],"large":[29],"external":[30,93],"dataset":[31],"undertake":[33],"exhaustive":[34],"pre-training":[35,90],"or":[36],"suffer":[37],"less":[39],"satisfactory":[40],"results":[41,154],"terms":[43],"of":[44,56,82,97,102,158],"accuracy":[45],"and":[46],"robustness.":[47],"To":[48],"track":[49],"single":[50],"target":[51],"wide":[54],"range":[55],"videos,":[57],"we":[58],"present":[59],"novel":[61],"Correlation":[62],"Filter":[63],"Neural":[64],"Network":[65],"architecture,":[66],"as":[67,69],"well":[68,133],"complete":[71],"pipeline,":[74],"The":[75,95,127,148],"proposed":[76,149],"approach":[77],"special":[80],"case":[81],"CNN,":[83],"whose":[84],"initialization":[85,96],"does":[86],"not":[87],"need":[88],"any":[89],"on":[91,145],"the":[92,100,107,112,152],"dataset.":[94],"enjoys":[99],"merits":[101],"cyclic":[103],"sampling":[104],"achieve":[106],"appealing":[108],"discriminative":[109],"capability,":[110],"while":[111],"updating":[114],"scheme":[115],"adopts":[116],"advantages":[117],"back-propagation":[119],"order":[121],"capture":[123],"new":[124],"appearance":[125],"variations.":[126],"pipeline":[129],"integrates":[130],"both":[131],"aspects":[132],"by":[134],"making":[135],"them":[136],"complementary":[137],"each":[139],"other.":[140],"We":[141],"validate":[142],"our":[143],"tracker":[144,150],"OTB-2013":[146],"benchmark.":[147],"obtains":[151],"compared":[155],"most":[157],"existing":[159],"representative":[160],"trackers.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
