{"id":"https://openalex.org/W4393900114","doi":"https://doi.org/10.1117/12.3023347","title":"EANet: enhanced attribute-based RGBT tracker network","display_name":"EANet: enhanced attribute-based RGBT tracker network","publication_year":2024,"publication_date":"2024-04-03","ids":{"openalex":"https://openalex.org/W4393900114","doi":"https://doi.org/10.1117/12.3023347"},"language":"en","primary_location":{"id":"doi:10.1117/12.3023347","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.3023347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sixteenth International Conference on Machine Vision (ICMV 2023)","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/A5092418509","display_name":"Abbas T\u00fcrko\u011flu","orcid":null},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Abbas T\u00fcrko\u011flu","raw_affiliation_strings":["Middle East Technical University (Turkey)"],"affiliations":[{"raw_affiliation_string":"Middle East Technical University (Turkey)","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005758418","display_name":"Erdem Akag\u00fcnd\u00fcz","orcid":"https://orcid.org/0000-0002-0792-7306"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erdem Akagunduz","raw_affiliation_strings":["Middle East Technical University (Turkey)"],"affiliations":[{"raw_affiliation_string":"Middle East Technical University (Turkey)","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092418509"],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":1.0497,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76123046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9061999917030334,"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":0.9061999917030334,"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":0.6426092386245728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3890479505062103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6426092386245728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3890479505062103}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.3023347","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.3023347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sixteenth International Conference on Machine Vision (ICMV 2023)","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":42,"referenced_works":["https://openalex.org/W1857884451","https://openalex.org/W2109579504","https://openalex.org/W2126010007","https://openalex.org/W2156387975","https://openalex.org/W2158592639","https://openalex.org/W2527415613","https://openalex.org/W2775609985","https://openalex.org/W2922509574","https://openalex.org/W2963905288","https://openalex.org/W2970995493","https://openalex.org/W2990546238","https://openalex.org/W2996575194","https://openalex.org/W2998756268","https://openalex.org/W3099671582","https://openalex.org/W3110562975","https://openalex.org/W3127317646","https://openalex.org/W3158472981","https://openalex.org/W3171106688","https://openalex.org/W3187284461","https://openalex.org/W3201519611","https://openalex.org/W3214116948","https://openalex.org/W4200136431","https://openalex.org/W4212991200","https://openalex.org/W4226126595","https://openalex.org/W4226332122","https://openalex.org/W4226387981","https://openalex.org/W4237080436","https://openalex.org/W4240153047","https://openalex.org/W4285531802","https://openalex.org/W4308611631","https://openalex.org/W4362562911","https://openalex.org/W6637373629","https://openalex.org/W6673240527","https://openalex.org/W6682889407","https://openalex.org/W6770757759","https://openalex.org/W6772343899","https://openalex.org/W6780344478","https://openalex.org/W6798321245","https://openalex.org/W6810557961","https://openalex.org/W6811544204","https://openalex.org/W6839377300","https://openalex.org/W6846725252"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Tracking":[0],"objects":[1],"can":[2,53],"be":[3],"a":[4,70,91,95,128,179],"difficult":[5],"task":[6],"in":[7,19,26,32,160],"computer":[8],"vision,":[9],"especially":[10],"when":[11,63],"faced":[12,64],"with":[13,65,134,178],"challenges":[14],"such":[15],"as":[16],"occlusion,":[17],"changes":[18],"lighting,":[20],"and":[21,79,94,107,147],"motion":[22],"blur.":[23],"Recent":[24],"advances":[25],"deep":[27,38,71,101],"learning":[28],"have":[29],"shown":[30],"promise":[31],"challenging":[33,66],"these":[34,115,176],"conditions.":[35,67],"However,":[36],"most":[37,154],"learning-based":[39,72],"object":[40,120,173],"trackers":[41,174],"only":[42],"use":[43],"visible":[44],"band":[45],"(RGB)":[46],"images.":[47,110],"Thermal":[48],"infrared":[49],"electromagnetic":[50],"waves":[51],"(TIR)":[52],"provide":[54],"additional":[55],"information":[56],"about":[57],"an":[58,122,135],"object,":[59],"including":[60],"its":[61],"temperature,":[62],"We":[68,126],"propose":[69,127],"image":[73],"tracking":[74],"approach":[75],"that":[76,166],"fuses":[77],"RGB":[78,106],"thermal":[80],"images":[81],"(RGBT).":[82],"The":[83,97,111,138,163],"proposed":[84,139,168],"model":[85],"consists":[86],"of":[87,130,183],"two":[88],"main":[89],"components:":[90],"feature":[92,98,132],"extractor":[93,99],"tracker.":[96],"encodes":[100],"features":[102,116],"from":[103],"both":[104],"the":[105,108,119,144,153,161,167],"TIR":[109],"tracker":[112],"then":[113],"uses":[114],"to":[117],"track":[118],"using":[121],"enhanced":[123],"attribute-based":[124],"architecture.":[125],"fusion":[129],"attribute-specific":[131],"selection":[133],"aggregation":[136],"module.":[137],"methods":[140],"are":[141,152],"evaluated":[142],"on":[143,175],"RGBT234":[145],"[1]":[146],"LasHeR":[148],"[2]":[149],"datasets,":[150,177],"which":[151],"widely":[155],"used":[156],"RGBT":[157,172],"object-tracking":[158],"datasets":[159],"literature.":[162],"results":[164],"show":[165],"system":[169],"outperforms":[170],"state-of-the-art":[171],"relatively":[180],"smaller":[181],"number":[182],"parameters.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}