{"id":"https://openalex.org/W2805902878","doi":"https://doi.org/10.1109/tip.2018.2879249","title":"Synthetic Data Generation for End-to-End Thermal Infrared Tracking","display_name":"Synthetic Data Generation for End-to-End Thermal Infrared Tracking","publication_year":2018,"publication_date":"2018-11-06","ids":{"openalex":"https://openalex.org/W2805902878","doi":"https://doi.org/10.1109/tip.2018.2879249","mag":"2805902878","pmid":"https://pubmed.ncbi.nlm.nih.gov/30403630"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2879249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2879249","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":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1806.01013","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lichao Zhang","orcid":"https://orcid.org/0000-0003-4580-2317"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Lichao Zhang","raw_affiliation_strings":["Computer Vision Center, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain"],"raw_orcid":"https://orcid.org/0000-0003-4580-2317","affiliations":[{"raw_affiliation_string":"Computer Vision Center, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Abel Gonzalez-Garcia","orcid":"https://orcid.org/0000-0002-9334-6646"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Abel Gonzalez-Garcia","raw_affiliation_strings":["Computer Vision Center, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain"],"raw_orcid":"https://orcid.org/0000-0002-9334-6646","affiliations":[{"raw_affiliation_string":"Computer Vision Center, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Joost van de Weijer","orcid":null},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joost van de Weijer","raw_affiliation_strings":["Computer Vision Center, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Center, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Martin Danelljan","orcid":null},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Martin Danelljan","raw_affiliation_strings":["Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"last","author":{"id":null,"display_name":"Fahad Shahbaz Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Fahad Shahbaz Khan","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210116052"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.064,"has_fulltext":false,"cited_by_count":176,"citation_normalized_percentile":{"value":0.96968597,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"28","issue":"4","first_page":"1837","last_page":"1850"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8948000073432922,"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":0.8948000073432922,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.017999999225139618,"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/T11448","display_name":"Face recognition and analysis","score":0.011800000444054604,"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/synthetic-data","display_name":"Synthetic data","score":0.7530999779701233},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6291999816894531},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.609000027179718},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5795999765396118},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4984999895095825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46860000491142273},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43220001459121704},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42170000076293945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7858999967575073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7612000107765198},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.7530999779701233},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6291999816894531},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.609000027179718},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5795999765396118},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5397999882698059},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4984999895095825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46860000491142273},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43220001459121704},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42170000076293945},{"id":"https://openalex.org/C2984335091","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Thermal infrared","level":3,"score":0.413100004196167},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4072999954223633},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3912000060081482},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2784000039100647},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.2736000120639801},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C1232282","wikidata":"https://www.wikidata.org/wiki/Q1783551","display_name":"Data conversion","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2018.2879249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2879249","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:30403630","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30403630","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},{"id":"pmh:oai:arXiv.org:1806.01013","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.01013","pdf_url":"https://arxiv.org/pdf/1806.01013","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1806.01013","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.01013","pdf_url":"https://arxiv.org/pdf/1806.01013","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321505","display_name":"Generalitat de Catalunya","ror":"https://ror.org/01bg62x04"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1857884451","https://openalex.org/W1900239115","https://openalex.org/W1955514522","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1999621311","https://openalex.org/W2003683977","https://openalex.org/W2039094769","https://openalex.org/W2044986361","https://openalex.org/W2065467353","https://openalex.org/W2077520767","https://openalex.org/W2117539524","https://openalex.org/W2120339771","https://openalex.org/W2149829493","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2158827467","https://openalex.org/W2161969291","https://openalex.org/W2162349892","https://openalex.org/W2170413022","https://openalex.org/W2183598498","https://openalex.org/W2194775991","https://openalex.org/W2214352687","https://openalex.org/W2244956674","https://openalex.org/W2247229935","https://openalex.org/W2340671224","https://openalex.org/W2415234561","https://openalex.org/W2463402750","https://openalex.org/W2469582947","https://openalex.org/W2473890477","https://openalex.org/W2520477759","https://openalex.org/W2525006321","https://openalex.org/W2527415613","https://openalex.org/W2557641257","https://openalex.org/W2577056945","https://openalex.org/W2599547527","https://openalex.org/W2608295741","https://openalex.org/W2614538448","https://openalex.org/W2681067697","https://openalex.org/W2740685955","https://openalex.org/W2765594081","https://openalex.org/W2769261568","https://openalex.org/W2781948176","https://openalex.org/W2917435394","https://openalex.org/W2962793481","https://openalex.org/W2962824803","https://openalex.org/W2963073614","https://openalex.org/W2963249584","https://openalex.org/W6621378261","https://openalex.org/W6630840828","https://openalex.org/W6639824700","https://openalex.org/W6679027886","https://openalex.org/W6684191040","https://openalex.org/W6691140393","https://openalex.org/W6701655646","https://openalex.org/W6703724764","https://openalex.org/W6718379498","https://openalex.org/W6726293469","https://openalex.org/W6726654379","https://openalex.org/W6729939709","https://openalex.org/W6736073538"],"related_works":[],"abstract_inverted_index":{"The":[0],"usage":[1,30,88],"of":[2,15,24,31,89,108,125,157,195,202,209],"both":[3,86,174],"off-the-shelf":[4],"and":[5,91],"end-to-end":[6,117,134,215],"trained":[7,152,166],"deep":[8],"networks":[9,34],"have":[10],"significantly":[11],"improved":[12],"the":[13,22,29,74,87,123,130,144,168,186,193,196,207],"performance":[14,163],"visual":[16],"tracking":[17,36,47],"on":[18,46,54,112,143,153,167],"RGB":[19,78],"videos.":[20],"However,":[21],"lack":[23],"large":[25,105,155],"labeled":[26,77,106],"datasets":[27],"hampers":[28],"convolutional":[32],"neural":[33],"for":[35,48,96,120,136],"in":[37],"thermal":[38],"infrared":[39],"(TIR)":[40],"images.":[41],"Therefore,":[42],"most":[43],"state-of-the-art":[44],"methods":[45,100],"TIR":[49,82,110,137,159,171,216],"data":[50,79,160,175,212],"are":[51,129],"still":[52],"based":[53],"handcrafted":[55],"features.":[56],"To":[57,122],"address":[58],"this":[59,97],"problem,":[60],"we":[61,114,128,184,191],"propose":[62],"to":[63,72,80,132,178,213],"use":[64],"image-to-image":[65],"translation":[66,94],"models.":[67],"These":[68,99],"models":[69,95],"allow":[70],"us":[71,102],"translate":[73],"abundantly":[75],"available":[76,169],"synthetic":[81,109,158,211],"data.":[83,172],"We":[84,139,147],"explore":[85],"paired":[90],"unpaired":[92],"image":[93],"purpose.":[98],"provide":[101],"with":[103,188,198],"a":[104,150,154,199],"dataset":[107,156],"sequences,":[111],"which":[113],"can":[115],"train":[116,133,214],"optimal":[118],"features":[119,135],"tracking.":[121,138],"best":[124],"our":[126],"knowledge,":[127],"first":[131],"perform":[140],"extensive":[141],"experiments":[142],"VOT-TIR2017":[145],"dataset.":[146],"show":[148],"that":[149],"network":[151,187],"obtains":[161],"better":[162],"than":[164],"one":[165],"real":[170],"Combining":[173],"sources":[176],"leads":[177],"further":[179],"improvement.":[180],"In":[181],"addition,":[182],"when":[183],"combine":[185],"motion":[189],"features,":[190],"outperform":[192],"state":[194],"art":[197],"relative":[200],"gain":[201],"over":[203],"10%,":[204],"clearly":[205],"showing":[206],"efficiency":[208],"using":[210],"trackers.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":31},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":7}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2018-06-13T00:00:00"}
