{"id":"https://openalex.org/W7117473786","doi":"https://doi.org/10.1109/access.2025.3649265","title":"Multi-Scene Dataset and Object Detector for Outside Blind Individual Identification","display_name":"Multi-Scene Dataset and Object Detector for Outside Blind Individual Identification","publication_year":2025,"publication_date":"2025-12-29","ids":{"openalex":"https://openalex.org/W7117473786","doi":"https://doi.org/10.1109/access.2025.3649265"},"language":null,"primary_location":{"id":"doi:10.1109/access.2025.3649265","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3649265","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3649265","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121474862","display_name":"Haotian Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haotian Ji","raw_affiliation_strings":["Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan"],"raw_orcid":"https://orcid.org/0009-0005-6958-941X","affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018027076","display_name":"Israel Mendon\u00e7a","orcid":"https://orcid.org/0000-0001-6819-4305"},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Israel Mendon\u00e7a","raw_affiliation_strings":["Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan"],"raw_orcid":"https://orcid.org/0000-0001-6819-4305","affiliations":[{"raw_affiliation_string":"Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010583900","display_name":"Masayoshi Aritsugi","orcid":"https://orcid.org/0000-0003-0861-849X"},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayoshi Aritsugi","raw_affiliation_strings":["Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0861-849X","affiliations":[{"raw_affiliation_string":"Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96036126"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0067,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82713752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"14","issue":null,"first_page":"1423","last_page":"1438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.5450000166893005,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.5450000166893005,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.18610000610351562,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.031099999323487282,"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/identification","display_name":"Identification (biology)","score":0.599399983882904},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5558000206947327},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5407000184059143},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5396000146865845},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4546000063419342},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.446399986743927},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4431999921798706},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.39660000801086426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8050000071525574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7547000050544739},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6574000120162964},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.599399983882904},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5558000206947327},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5407000184059143},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5396000146865845},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4546000063419342},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.446399986743927},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.39660000801086426},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.388700008392334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.38040000200271606},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.3612000048160553},{"id":"https://openalex.org/C3020106864","wikidata":"https://www.wikidata.org/wiki/Q737460","display_name":"Visually impaired","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.3021000027656555},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.2786000072956085},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2687999904155731}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/access.2025.3649265","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3649265","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3649265","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3649265","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1981357275","https://openalex.org/W1994616650","https://openalex.org/W2031454541","https://openalex.org/W2031489346","https://openalex.org/W2164847484","https://openalex.org/W2783152060","https://openalex.org/W2963766909","https://openalex.org/W3011451419","https://openalex.org/W3012546716","https://openalex.org/W3018757597","https://openalex.org/W3089852421","https://openalex.org/W3112503277","https://openalex.org/W3194790201","https://openalex.org/W4281790833","https://openalex.org/W4321374034","https://openalex.org/W4383109109","https://openalex.org/W4385245566","https://openalex.org/W4386398080","https://openalex.org/W4390589765","https://openalex.org/W4403770406","https://openalex.org/W4404001958","https://openalex.org/W4404959866","https://openalex.org/W4407948252"],"related_works":[],"abstract_inverted_index":{"In":[0],"the":[1,32,63,92,145],"field":[2],"of":[3],"Computer":[4],"Vision":[5],"(CV),":[6],"assistive":[7],"navigation":[8],"systems":[9],"for":[10,31,56,66,113,127],"visually":[11,33,59],"impaired":[12,60],"individuals":[13],"have":[14],"garnered":[15],"significant":[16],"attention":[17],"in":[18],"recent":[19],"years.":[20],"This":[21],"paper":[22],"proposes":[23],"a":[24,51,78,138],"practical":[25],"approach":[26],"to":[27,43,91,111,120,125,144],"public":[28,45],"space":[29],"recognition":[30,37,57,67],"impaired.":[34],"The":[35],"proposed":[36],"method":[38],"can":[39],"be":[40],"widely":[41],"applied":[42],"existing":[44],"video":[46],"surveillance":[47],"systems.":[48],"We":[49],"created":[50,102],"specialized":[52],"image":[53,87],"dataset":[54,103],"tailored":[55],"by":[58,104,118],"individuals.":[61],"At":[62],"same":[64],"time,":[65],"tasks":[68],"involving":[69],"nighttime":[70],"environments":[71],"and":[72,86,137],"partially":[73],"occluded":[74],"targets,":[75],"we":[76],"propose":[77],"composite":[79],"framework":[80],"that":[81],"integrates":[82],"various":[83],"grouped":[84],"convolutions":[85],"enhancement":[88],"networks.":[89],"Compared":[90],"original":[93,146],"baseline":[94,147],"detection":[95],"models,":[96],"our":[97,101,130],"models":[98,131,148],"outperform":[99],"on":[100,149],"1.5%":[105],"average":[106],"precision":[107],"(e.g.,":[108,122],"from":[109,123],"94.1%":[110],"95.6%":[112],"YOLOv8x),":[114],"while":[115],"reducing":[116],"parameters":[117],"up":[119],"35.7%":[121],"56.9M":[124],"36.6M":[126],"YOLOv11x).":[128],"Furthermore,":[129],"also":[132],"achieve":[133],"over":[134],"0.8%":[135],"AP":[136],"parameter":[139],"reduction":[140],"exceeding":[141],"10%":[142],"compared":[143],"ExDARK":[150],"dataset.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-12-29T00:00:00"}
