{"id":"https://openalex.org/W4313307857","doi":"https://doi.org/10.1109/jiot.2022.3233183","title":"Visible\u2013Thermal Person Reidentification in Visual Internet of Things With Random Gray Data Augmentation and a New Pooling Mechanism","display_name":"Visible\u2013Thermal Person Reidentification in Visual Internet of Things With Random Gray Data Augmentation and a New Pooling Mechanism","publication_year":2022,"publication_date":"2022-12-30","ids":{"openalex":"https://openalex.org/W4313307857","doi":"https://doi.org/10.1109/jiot.2022.3233183"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2022.3233183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3233183","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5101722814","display_name":"Haojie Liu","orcid":"https://orcid.org/0000-0003-1270-1771"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haojie Liu","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101580714","display_name":"Lili Xu","orcid":"https://orcid.org/0000-0003-0515-0772"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Xu","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001943246","display_name":"Xingyu Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Tian","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031916986","display_name":"Houfu Peng","orcid":"https://orcid.org/0000-0002-3629-3672"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houfu Peng","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035484030","display_name":"Daoxun Xia","orcid":"https://orcid.org/0000-0002-1715-3324"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoxun Xia","raw_affiliation_strings":["School of Big Data and Computer Science and the Engineering Laboratory for Applied Technology of Big Data in Education, Guizhou Normal University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science and the Engineering Laboratory for Applied Technology of Big Data in Education, Guizhou Normal University, Guiyang, China","institution_ids":["https://openalex.org/I154893126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101722814"],"corresponding_institution_ids":["https://openalex.org/I154893126"],"apc_list":null,"apc_paid":null,"fwci":0.8049,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.73469996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":"10","first_page":"9022","last_page":"9037"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9952999949455261,"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":0.9918000102043152,"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/overfitting","display_name":"Overfitting","score":0.8292555809020996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7873159050941467},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7456449866294861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7006562352180481},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6824121475219727},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6434314846992493},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4865664541721344},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.46999797224998474},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4366304874420166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3896826207637787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3487452268600464},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19297370314598083},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.180722177028656}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8292555809020996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7873159050941467},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7456449866294861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7006562352180481},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6824121475219727},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6434314846992493},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4865664541721344},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.46999797224998474},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4366304874420166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3896826207637787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3487452268600464},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19297370314598083},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.180722177028656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2022.3233183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3233183","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G738653228","display_name":null,"funder_award_id":"62166008","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":72,"referenced_works":["https://openalex.org/W46454230","https://openalex.org/W166429404","https://openalex.org/W1607519983","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W2096733369","https://openalex.org/W2163605009","https://openalex.org/W2220271458","https://openalex.org/W2432402544","https://openalex.org/W2502225121","https://openalex.org/W2553498075","https://openalex.org/W2559156603","https://openalex.org/W2596603442","https://openalex.org/W2598634450","https://openalex.org/W2604463754","https://openalex.org/W2766623491","https://openalex.org/W2777534232","https://openalex.org/W2788846526","https://openalex.org/W2798429327","https://openalex.org/W2798550112","https://openalex.org/W2802152130","https://openalex.org/W2808134123","https://openalex.org/W2808260522","https://openalex.org/W2888159112","https://openalex.org/W2898047322","https://openalex.org/W2954773727","https://openalex.org/W2963574257","https://openalex.org/W2963597983","https://openalex.org/W2963842104","https://openalex.org/W2970390221","https://openalex.org/W2980073905","https://openalex.org/W2980827638","https://openalex.org/W2985033611","https://openalex.org/W2996199246","https://openalex.org/W2997052190","https://openalex.org/W2997877744","https://openalex.org/W2998508940","https://openalex.org/W2998792609","https://openalex.org/W3009246260","https://openalex.org/W3026581226","https://openalex.org/W3033235266","https://openalex.org/W3034084848","https://openalex.org/W3036401722","https://openalex.org/W3047035309","https://openalex.org/W3049045914","https://openalex.org/W3099206234","https://openalex.org/W3100555577","https://openalex.org/W3102911434","https://openalex.org/W3106715802","https://openalex.org/W3107848599","https://openalex.org/W3111440907","https://openalex.org/W3112063620","https://openalex.org/W3125736290","https://openalex.org/W3134669182","https://openalex.org/W3137802886","https://openalex.org/W3139299097","https://openalex.org/W3142867433","https://openalex.org/W3176633985","https://openalex.org/W3198713693","https://openalex.org/W3202788649","https://openalex.org/W4224324173","https://openalex.org/W4313591085","https://openalex.org/W6636262234","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6639736908","https://openalex.org/W6684191040","https://openalex.org/W6730370473","https://openalex.org/W6747428963","https://openalex.org/W6781077750","https://openalex.org/W6790856679","https://openalex.org/W6810492692"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W3026913501","https://openalex.org/W3040691452"],"abstract_inverted_index":{"Visible\u2013thermal":[0],"person":[1,16,171],"reidentification":[2],"(VT-ReID)":[3],"is":[4],"an":[5],"emerging":[6],"cross-modality":[7,43,95,186],"matching":[8,96],"problem,":[9],"which":[10,71],"aims":[11],"to":[12,36,41,50,73,112,141,153,193],"identify":[13],"the":[14,18,27,62,94,132,138,158,165,195],"same":[15],"across":[17],"daytime":[19],"visible":[20,124],"modality":[21,25],"and":[22,109,125,136,173,191,207,214],"nighttime":[23],"thermal":[24],"in":[26,157],"Internet":[28],"of":[29,54,66,123,134,197],"Things.":[30],"Existing":[31],"cutting-edge":[32],"approaches":[33],"consistently":[34],"attempt":[35],"exploit":[37],"image":[38],"generation":[39],"technique":[40],"generate":[42],"images":[44,118],"or":[45],"design":[46],"various":[47,121],"feature-level":[48],"constraints":[49],"align":[51],"feature":[52,75],"distribution":[53],"heterogeneous":[55],"data.":[56],"However,":[57],"color":[58,142],"variations":[59],"originating":[60],"from":[61],"different":[63],"imaging":[64],"processes":[65],"spectrum":[67],"cameras":[68],"remain":[69],"unsolved,":[70],"leads":[72],"suboptimal":[74],"representations.":[76],"In":[77,114],"this":[78,115],"article,":[79],"we":[80,145],"present":[81],"a":[82,99,106,147],"simple":[83],"but":[84],"very":[85],"effective":[86],"data":[87,188],"augmentation":[88],"method":[89,150],"named":[90],"Random":[91,102,205],"Gray":[92,103,206],"for":[93,222],"task.":[97],"Given":[98],"training":[100,117,220],"sample,":[101],"randomly":[104],"selects":[105],"rectangular":[107],"region":[108],"translates":[110],"it":[111],"grayscale.":[113],"process,":[116],"with":[119],"fusing":[120],"levels":[122],"grayscale":[126],"information":[127,156],"are":[128],"generated,":[129],"thereby":[130],"reducing":[131],"risk":[133],"overfitting":[135],"making":[137],"model":[139],"robust":[140],"variations.":[143],"Besides,":[144],"introduce":[146],"novel":[148],"pooling":[149],"called":[151],"softpooling":[152,163,208],"retain":[154],"more":[155,169],"reduced":[159],"activation":[160],"maps.":[161],"With":[162],"layer,":[164],"network":[166],"can":[167,216],"learn":[168],"discriminative":[170],"features":[172],"further":[174,223],"boost":[175],"its":[176],"retrieval":[177],"performance.":[178],"We":[179],"conduct":[180],"extensive":[181],"experiments":[182],"on":[183],"publicly":[184],"available":[185],"Re-ID":[187],"sets":[189],"(SYSU-MM01":[190],"RegDB)":[192],"demonstrate":[194],"effectiveness":[196],"our":[198],"proposed":[199],"method.":[200],"Experimental":[201],"results":[202],"show":[203],"that":[204],"strategies":[209],"yield":[210],"significant":[211],"accuracy":[212],"improvement,":[213],"they":[215],"be":[217],"utilized":[218],"as":[219],"tricks":[221],"VT-ReID":[224],"research.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
