{"id":"https://openalex.org/W2740957961","doi":"https://doi.org/10.23919/biosig.2017.8053514","title":"Multimodal Neural Network for Overhead Person Re-Identification","display_name":"Multimodal Neural Network for Overhead Person Re-Identification","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2740957961","doi":"https://doi.org/10.23919/biosig.2017.8053514","mag":"2740957961"},"language":"en","primary_location":{"id":"doi:10.23919/biosig.2017.8053514","is_oa":false,"landing_page_url":"https://doi.org/10.23919/biosig.2017.8053514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/da/publications/76f7bd0b-cf54-4cbd-a1ba-e586d6dd4b12","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066296846","display_name":"Aske R. Lejb\u00f8lle","orcid":"https://orcid.org/0000-0002-2306-7617"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Aske R. Lejbolle","raw_affiliation_strings":["Visual Analysis of People (VAP), Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Visual Analysis of People (VAP), Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041199606","display_name":"Kamal Nasrollahi","orcid":"https://orcid.org/0000-0002-1953-0429"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Kamal Nasrollahi","raw_affiliation_strings":["Visual Analysis of People (VAP), Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Visual Analysis of People (VAP), Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035519573","display_name":"Benjamin Krogh","orcid":null},"institutions":[{"id":"https://openalex.org/I43275575","display_name":"Vestas (Denmark)","ror":"https://ror.org/003pdcw24","country_code":"DK","type":"company","lineage":["https://openalex.org/I43275575"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Benjamin Krogh","raw_affiliation_strings":["BLIP Systems A/S Vester Hassing, Denmark"],"affiliations":[{"raw_affiliation_string":"BLIP Systems A/S Vester Hassing, Denmark","institution_ids":["https://openalex.org/I43275575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022176859","display_name":"Thomas B. Moeslund","orcid":"https://orcid.org/0000-0001-7584-5209"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Thomas B. Moeslund","raw_affiliation_strings":["Visual Analysis of People (VAP), Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Visual Analysis of People (VAP), Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066296846"],"corresponding_institution_ids":["https://openalex.org/I891191580"],"apc_list":null,"apc_paid":null,"fwci":0.5461,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7573195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9980999827384949,"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":0.8158075213432312},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7216006517410278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6769940853118896},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5995135307312012},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.580610990524292},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5389543175697327},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5357156991958618},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5264766216278076},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.517795205116272},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4982330799102783},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4861588180065155},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48374176025390625},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.44732069969177246},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4371241331100464},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4356750249862671},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4260951280593872},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39326032996177673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8158075213432312},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7216006517410278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6769940853118896},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5995135307312012},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.580610990524292},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5389543175697327},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5357156991958618},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5264766216278076},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.517795205116272},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4982330799102783},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4861588180065155},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48374176025390625},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44732069969177246},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4371241331100464},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4356750249862671},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4260951280593872},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39326032996177673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/biosig.2017.8053514","is_oa":false,"landing_page_url":"https://doi.org/10.23919/biosig.2017.8053514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/76f7bd0b-cf54-4cbd-a1ba-e586d6dd4b12","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/76f7bd0b-cf54-4cbd-a1ba-e586d6dd4b12","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lejb\u00f8lle, A R, Nasrollahi, K, Krogh, B & Moeslund, T B 2017, Multimodal Neural Network for Overhead Person Re-identification. in 16th International Conference of the Biometrics Special Interest Group. IEEE (Institute of Electrical and Electronics Engineers), Lecture Notes in Informatics, vol. 2017, 16th International Conference of the Biometrics Special Interest Group, Darmstadt, Germany, 20/09/2017. https://doi.org/10.23919/BIOSIG.2017.8053514","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/76f7bd0b-cf54-4cbd-a1ba-e586d6dd4b12","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/76f7bd0b-cf54-4cbd-a1ba-e586d6dd4b12","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lejb\u00f8lle, A R, Nasrollahi, K, Krogh, B & Moeslund, T B 2017, Multimodal Neural Network for Overhead Person Re-identification. in 16th International Conference of the Biometrics Special Interest Group. IEEE (Institute of Electrical and Electronics Engineers), Lecture Notes in Informatics, vol. 2017, 16th International Conference of the Biometrics Special Interest Group, Darmstadt, Germany, 20/09/2017. https://doi.org/10.23919/BIOSIG.2017.8053514","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7099999785423279,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W93571077","https://openalex.org/W1142012885","https://openalex.org/W1509420289","https://openalex.org/W1518138188","https://openalex.org/W1565402342","https://openalex.org/W1573897183","https://openalex.org/W1594368566","https://openalex.org/W1806891645","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1982925187","https://openalex.org/W2001881450","https://openalex.org/W2155893237","https://openalex.org/W2158275940","https://openalex.org/W2163605009","https://openalex.org/W2251630646","https://openalex.org/W2252903884","https://openalex.org/W2300840837","https://openalex.org/W2344622006","https://openalex.org/W2344924411","https://openalex.org/W2472272718","https://openalex.org/W2587989515","https://openalex.org/W2601159489","https://openalex.org/W2963956866","https://openalex.org/W3098057481","https://openalex.org/W6627095619","https://openalex.org/W6630319072","https://openalex.org/W6631178364","https://openalex.org/W6684191040","https://openalex.org/W6691774359","https://openalex.org/W6704346603","https://openalex.org/W6733387591"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209","https://openalex.org/W2004831463","https://openalex.org/W2110287964","https://openalex.org/W2167701463"],"abstract_inverted_index":{"Person":[0],"re-identification":[1],"is":[2,21,86],"a":[3,76,80,96,102,108,119],"topic":[4],"which":[5,85],"has":[6,63],"potential":[7],"to":[8,43,65,94,117],"be":[9],"used":[10],"for":[11],"applications":[12],"within":[13],"forensics,":[14],"flow":[15],"analysis":[16],"and":[17,38,67,91,133,139,147],"queue":[18],"monitoring.":[19],"It":[20],"the":[22],"process":[23],"of":[24,48,111,131,137],"matching":[25],"persons":[26],"across":[27],"two":[28,125],"or":[29,57],"more":[30,61],"camera":[31,70],"views,":[32,55],"most":[33],"often":[34],"by":[35,114,145],"extracting":[36],"colour":[37],"texture":[39],"based":[40,69,78],"hand-crafted":[41],"features,":[42],"identify":[44],"similar":[45,126],"persons.":[46],"Because":[47],"challenges":[49],"regarding":[50],"changes":[51],"in":[52],"lighting":[53],"between":[54],"occlusion":[56],"even":[58],"privacy":[59],"issues,":[60],"focus":[62],"turned":[64],"overhead":[66],"depth":[68,90],"solutions.":[71],"Therefore,":[72],"we":[73,106],"have":[74],"developed":[75],"system,":[77],"on":[79,101,124],"Convolutional":[81],"Neural":[82],"Network":[83],"(CNN)":[84],"trained":[87],"using":[88,118],"both":[89],"RGB":[92],"modalities":[93],"provide":[95],"fused":[97],"feature.":[98],"By":[99],"training":[100],"locally":[103],"collected":[104],"dataset,":[105],"achieve":[107],"rank-1":[109],"accuracy":[110],"74.69%,":[112],"increased":[113],"16.00%":[115],"compared":[116],"single":[120],"modality.":[121],"Furthermore,":[122],"tests":[123],"publicly":[127],"available":[128],"benchmark":[129],"datasets":[130],"TVPR":[132],"DPI-T":[134],"show":[135],"accuracies":[136],"77.66%":[138],"90.36%,":[140],"respectively,":[141],"outperforming":[142],"state-of-the-art":[143],"results":[144],"3.60%":[146],"5.20%,":[148],"respectively.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}