{"id":"https://openalex.org/W4388691829","doi":"https://doi.org/10.1109/lsp.2023.3333220","title":"Tiny Object Tracking With Proposal Position Enhancement","display_name":"Tiny Object Tracking With Proposal Position Enhancement","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388691829","doi":"https://doi.org/10.1109/lsp.2023.3333220"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3333220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3333220","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-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/A5022365489","display_name":"Zhongjie Mao","orcid":"https://orcid.org/0000-0002-5738-2340"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongjie Mao","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-5738-2340","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102943827","display_name":"Chenxia Wei","orcid":"https://orcid.org/0009-0007-2517-2035"},"institutions":[{"id":"https://openalex.org/I4210153230","display_name":"Shanghai Academy of Spaceflight Technology","ror":"https://ror.org/050qhwt21","country_code":"CN","type":"government","lineage":["https://openalex.org/I2802615301","https://openalex.org/I4210153230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxia Wei","raw_affiliation_strings":["Shanghai Academy of Spaceflight Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0007-2517-2035","affiliations":[{"raw_affiliation_string":"Shanghai Academy of Spaceflight Technology, Shanghai, China","institution_ids":["https://openalex.org/I4210153230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107340655","display_name":"Yang Chen","orcid":"https://orcid.org/0009-0004-9348-8566"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Yang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0004-9348-8566","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101723949","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0002-0735-9919"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-0735-9919","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101705676","display_name":"Jia Yan","orcid":"https://orcid.org/0000-0001-5402-4698"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Yan","raw_affiliation_strings":["Department of Electrical Engineering, School of Electronic Information, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-5402-4698","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022365489"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.3532,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60631411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"30","issue":null,"first_page":"1692","last_page":"1696"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9722999930381775,"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":0.9717000126838684,"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":0.7520816326141357},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7182061672210693},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6071569323539734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5882988572120667},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.551264226436615},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5376303195953369},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5071525573730469},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4583513140678406},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.43318045139312744},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43311887979507446},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42652732133865356},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39938631653785706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39016401767730713},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2275196611881256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16030722856521606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520816326141357},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7182061672210693},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6071569323539734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5882988572120667},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.551264226436615},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5376303195953369},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5071525573730469},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4583513140678406},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.43318045139312744},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43311887979507446},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42652732133865356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39938631653785706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39016401767730713},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2275196611881256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16030722856521606},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3333220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3333220","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G813379199","display_name":null,"funder_award_id":"61501334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2158592639","https://openalex.org/W2470394683","https://openalex.org/W2794744029","https://openalex.org/W2799058067","https://openalex.org/W2898200825","https://openalex.org/W2912058580","https://openalex.org/W2963534981","https://openalex.org/W2966759264","https://openalex.org/W2981322549","https://openalex.org/W2998434318","https://openalex.org/W3001584168","https://openalex.org/W3035453691","https://openalex.org/W3035511673","https://openalex.org/W3035725297","https://openalex.org/W3107787446","https://openalex.org/W3110616144","https://openalex.org/W3167536469","https://openalex.org/W3169294567","https://openalex.org/W3183734964","https://openalex.org/W3206359907","https://openalex.org/W3214586131","https://openalex.org/W4213436958","https://openalex.org/W4285259499","https://openalex.org/W4293577719","https://openalex.org/W4307411363","https://openalex.org/W4312751983","https://openalex.org/W4312805142","https://openalex.org/W4317496114","https://openalex.org/W4319990521","https://openalex.org/W4323893189","https://openalex.org/W4382461147","https://openalex.org/W4385834539","https://openalex.org/W4386066394"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2981954115","https://openalex.org/W2901057123"],"abstract_inverted_index":{"Tiny":[0],"object":[1,152],"tracking":[2,153],"is":[3,57],"challenging":[4],"due":[5],"to":[6,29,62,79,117,125],"the":[7,34,40,45,55,63,67,75,81,84,92,106,144,150,158,161],"target's":[8],"weak":[9],"appearance":[10],"and":[11,42,135,147,166],"features.":[12],"The":[13,131,164],"current":[14],"state-of-theart":[15],"approach":[16],"for":[17,102,129,143],"this":[18,49,71],"task":[19],"uses":[20],"probabilistic":[21,35],"regression":[22,31,36,118],"based":[23],"on":[24,39,91],"discriminative":[25],"correlation":[26],"filters":[27],"(DCF)":[28],"predict":[30],"scores.":[32],"However,":[33],"equally":[37],"relies":[38],"position":[41,56],"size":[43,64],"of":[44,58,83,108,133,160],"proposal":[46,85],"box.":[47],"In":[48],"letter,":[50],"we":[51,73,121],"point":[52],"out":[53],"that":[54],"greater":[59],"importance":[60],"relative":[61],"when":[65],"regressing":[66],"tiny":[68,151],"object.":[69],"To":[70],"end,":[72],"introduce":[74],"receptive":[76],"field":[77],"distance":[78],"define":[80],"quality":[82,96,110,127,136],"box,":[86],"which":[87],"places":[88],"more":[89],"emphasis":[90],"position.":[93],"By":[94],"incorporating":[95],"as":[97,139],"an":[98],"additional":[99],"important":[100],"factor":[101],"Monte":[103],"Carlo":[104],"sampling,":[105],"number":[107],"high":[109],"proposals":[111],"can":[112,148],"be":[113,169],"effectively":[114],"increased,":[115],"leading":[116],"optimization.":[119],"Moreover,":[120],"propose":[122],"a":[123,140],"network":[124],"generate":[126],"scores":[128,137],"proposals.":[130],"combination":[132],"probability":[134],"serves":[138],"selection":[141],"criterion":[142],"optimal":[145],"proposal,":[146],"boost":[149],"performance.":[154],"Extensive":[155],"experiments":[156],"demonstrate":[157],"effectiveness":[159],"proposed":[162],"method.":[163],"code":[165],"model":[167],"will":[168],"available":[170],"at":[171],"<uri":[172],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[173],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/jankin987/track-mcsq</uri>":[174]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
