{"id":"https://openalex.org/W2954369198","doi":"https://doi.org/10.1109/access.2019.2924732","title":"Learning Robust Features for Planar Object Tracking","display_name":"Learning Robust Features for Planar Object Tracking","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2954369198","doi":"https://doi.org/10.1109/access.2019.2924732","mag":"2954369198"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2924732","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2924732","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08744501.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08744501.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100443698","display_name":"Lin Chen","orcid":"https://orcid.org/0000-0002-0620-1976"},"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":true,"raw_author_name":"Lin Chen","raw_affiliation_strings":["Institute of Advanced Digital Technology and Instrument, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0620-1976","affiliations":[{"raw_affiliation_string":"Institute of Advanced Digital Technology and Instrument, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008526350","display_name":"Yaowu Chen","orcid":"https://orcid.org/0000-0002-6037-0631"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaowu Chen","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061469520","display_name":"Haibin Ling","orcid":"https://orcid.org/0000-0003-4094-8413"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haibin Ling","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082387283","display_name":"Xiang Tian","orcid":"https://orcid.org/0000-0003-1642-6762"},"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":"Xiang Tian","raw_affiliation_strings":["Institute of Advanced Digital Technology and Instrument, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Advanced Digital Technology and Instrument, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073271972","display_name":"Yuesong Tian","orcid":"https://orcid.org/0000-0001-6287-4174"},"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":"Yuesong Tian","raw_affiliation_strings":["Institute of Advanced Digital Technology and Instrument, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Advanced Digital Technology and Instrument, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100443698"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1021,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.42683369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"90398","last_page":"90411"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9909999966621399,"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":0.9891999959945679,"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/computer-science","display_name":"Computer science","score":0.843483567237854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8415647745132446},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8203669786453247},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6589727997779846},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6381299495697021},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5950444936752319},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.5348471999168396},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49827051162719727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49088531732559204},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.49036335945129395},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4281059205532074},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.41098320484161377},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.2757096290588379},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18959787487983704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.843483567237854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8415647745132446},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8203669786453247},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6589727997779846},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6381299495697021},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5950444936752319},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.5348471999168396},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49827051162719727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49088531732559204},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.49036335945129395},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4281059205532074},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.41098320484161377},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2757096290588379},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18959787487983704},{"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/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/access.2019.2924732","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2924732","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08744501.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4a2dccc21fea42398489c4711e15d80d","is_oa":true,"landing_page_url":"https://doaj.org/article/4a2dccc21fea42398489c4711e15d80d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 90398-90411 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2924732","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2924732","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08744501.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3403770495","display_name":null,"funder_award_id":"1350521","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6276681991","display_name":null,"funder_award_id":"1618398","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320319946","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954369198.pdf","grobid_xml":"https://content.openalex.org/works/W2954369198.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W135449821","https://openalex.org/W603908379","https://openalex.org/W612478963","https://openalex.org/W1511840314","https://openalex.org/W1604643028","https://openalex.org/W1861492603","https://openalex.org/W1906374873","https://openalex.org/W1970504153","https://openalex.org/W1971616954","https://openalex.org/W1983364832","https://openalex.org/W1984914017","https://openalex.org/W1993221692","https://openalex.org/W1995903777","https://openalex.org/W2016053056","https://openalex.org/W2020412704","https://openalex.org/W2022879247","https://openalex.org/W2030233188","https://openalex.org/W2033413929","https://openalex.org/W2035379092","https://openalex.org/W2045715871","https://openalex.org/W2049858397","https://openalex.org/W2067936826","https://openalex.org/W2093027067","https://openalex.org/W2108215708","https://openalex.org/W2111303465","https://openalex.org/W2118877769","https://openalex.org/W2129086727","https://openalex.org/W2130502925","https://openalex.org/W2138478117","https://openalex.org/W2149157079","https://openalex.org/W2151103935","https://openalex.org/W2151290401","https://openalex.org/W2152671441","https://openalex.org/W2154889144","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2163806380","https://openalex.org/W2167501464","https://openalex.org/W2194775991","https://openalex.org/W2210972093","https://openalex.org/W2214352687","https://openalex.org/W2244956674","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2473868734","https://openalex.org/W2565049684","https://openalex.org/W2604233003","https://openalex.org/W2604588829","https://openalex.org/W2626225338","https://openalex.org/W2736812385","https://openalex.org/W2737590896","https://openalex.org/W2768166594","https://openalex.org/W2797812763","https://openalex.org/W2799058067","https://openalex.org/W2886910176","https://openalex.org/W2891571085","https://openalex.org/W2910170440","https://openalex.org/W2911671827","https://openalex.org/W2955747520","https://openalex.org/W2962824803","https://openalex.org/W2963346260","https://openalex.org/W2963854930","https://openalex.org/W2964253307","https://openalex.org/W4299551488","https://openalex.org/W4301454730","https://openalex.org/W6618372016","https://openalex.org/W6639102338","https://openalex.org/W6677548441","https://openalex.org/W6684191040","https://openalex.org/W6718003766","https://openalex.org/W6720898849","https://openalex.org/W6734797129","https://openalex.org/W6749702078","https://openalex.org/W6757582685"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2992701057"],"abstract_inverted_index":{"Visual":[0],"tracking":[1,60,128,149],"of":[2,8,29,77],"planar":[3],"objects":[4],"with":[5],"multiple":[6],"degrees":[7],"freedom":[9],"is":[10],"a":[11,90,117],"core":[12],"component":[13],"for":[14,73],"numerous":[15],"vision-based":[16],"applications.":[17],"Generally,":[18],"since":[19],"direct":[20,78],"methods":[21,38,146],"use":[22],"all":[23],"raw":[24],"pixels":[25],"in":[26,58,84,147],"the":[27,33,50,75,94,102,113,122,127,140],"region":[28],"interest":[30],"to":[31,41],"estimate":[32],"motion":[34,47],"model":[35],"directly,":[36],"these":[37],"are":[39,71],"sensitive":[40],"illumination":[42],"changes,":[43],"partial":[44],"occlusion,":[45],"and":[46,111,125],"blur.":[48],"Recently,":[49],"deep":[51,64,69,106],"convolutional":[52,114],"network":[53,92],"has":[54],"demonstrated":[55],"remarkable":[56],"ability":[57],"visual":[59],"via":[61],"learning":[62],"robust":[63],"features.":[65],"In":[66],"this":[67],"paper,":[68],"features":[70,83,115],"used":[72],"improving":[74],"robustness":[76],"methods.":[79],"To":[80],"learn":[81],"suitable":[82],"an":[85],"end-to-end":[86],"fashion,":[87],"we":[88],"employ":[89],"novel":[91],"architecture,":[93],"efficient":[95],"second-order":[96],"minimization":[97],"(ESM)":[98],"layer,":[99],"which":[100],"performs":[101],"ESM":[103],"algorithm":[104],"on":[105,116,130],"feature":[107],"maps.":[108],"We":[109],"train":[110],"validate":[112],"synthetic":[118],"dataset":[119,124],"generated":[120],"from":[121],"MS-COCO":[123],"evaluate":[126],"performance":[129],"two":[131],"challenging,":[132],"real-world":[133],"datasets.":[134],"The":[135],"experimental":[136],"results":[137],"show":[138],"that":[139],"proposed":[141],"approach":[142],"outperforms":[143],"most":[144],"state-of-the-art":[145],"various":[148],"challenges.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}