{"id":"https://openalex.org/W4386598468","doi":"https://doi.org/10.1109/icip49359.2023.10222485","title":"Robust Multispectral Pedestrian Detection Via Spectral Position-Free Feature Mapping","display_name":"Robust Multispectral Pedestrian Detection Via Spectral Position-Free Feature Mapping","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598468","doi":"https://doi.org/10.1109/icip49359.2023.10222485"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222485","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5103104504","display_name":"Sungjune Park","orcid":"https://orcid.org/0000-0001-7482-4553"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungjune Park","raw_affiliation_strings":["KAIST,School of Electrical Engineering,South Korea","School of Electrical Engineering, KAIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST,School of Electrical Engineering,South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"School of Electrical Engineering, KAIST, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036936141","display_name":"Jung Uk Kim","orcid":"https://orcid.org/0000-0003-4533-4875"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jung Uk Kim","raw_affiliation_strings":["KAIST,School of Electrical Engineering,South Korea","School of Electrical Engineering, KAIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST,School of Electrical Engineering,South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"School of Electrical Engineering, KAIST, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112998118","display_name":"Jin Mo Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143937","display_name":"Hanwha Solutions (South Korea)","ror":"https://ror.org/05dmq6f22","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210143937","https://openalex.org/I4403386467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin Mo Song","raw_affiliation_strings":["Hanwha Aerospace,South Korea","Hanwha Aerospace, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanwha Aerospace,South Korea","institution_ids":["https://openalex.org/I4210143937"]},{"raw_affiliation_string":"Hanwha Aerospace, South Korea","institution_ids":["https://openalex.org/I4210143937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038798134","display_name":"Yong Man Ro","orcid":"https://orcid.org/0000-0001-5306-6853"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong Man Ro","raw_affiliation_strings":["KAIST,School of Electrical Engineering,South Korea","School of Electrical Engineering, KAIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST,School of Electrical Engineering,South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"School of Electrical Engineering, KAIST, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1123,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40414859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1795","last_page":"1799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9968000054359436,"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/pedestrian-detection","display_name":"Pedestrian detection","score":0.9073454141616821},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.8751689195632935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7617235779762268},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7284561991691589},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7081847786903381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6757689714431763},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6714522838592529},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.529615044593811},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.4833056926727295},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.472775936126709},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4366956949234009},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.41075167059898376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39185720682144165},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19241440296173096},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13842320442199707},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.05939570069313049}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.9073454141616821},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.8751689195632935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7617235779762268},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7284561991691589},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7081847786903381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6757689714431763},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6714522838592529},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.529615044593811},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.4833056926727295},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.472775936126709},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4366956949234009},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.41075167059898376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39185720682144165},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19241440296173096},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13842320442199707},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.05939570069313049},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222485","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7900000214576721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1650122911","https://openalex.org/W1910108985","https://openalex.org/W2150066425","https://openalex.org/W2187089797","https://openalex.org/W2315907656","https://openalex.org/W2415234561","https://openalex.org/W2428342532","https://openalex.org/W2565639579","https://openalex.org/W2792925809","https://openalex.org/W2929607865","https://openalex.org/W2963188557","https://openalex.org/W2963448850","https://openalex.org/W2963579094","https://openalex.org/W2969760539","https://openalex.org/W2987131085","https://openalex.org/W3089929663","https://openalex.org/W3116967329","https://openalex.org/W3130394099","https://openalex.org/W3158128549","https://openalex.org/W3195903836","https://openalex.org/W3202329597","https://openalex.org/W4220724622","https://openalex.org/W4224933794","https://openalex.org/W4283820844","https://openalex.org/W4308233898","https://openalex.org/W4308237440"],"related_works":["https://openalex.org/W3132270449","https://openalex.org/W4377289091","https://openalex.org/W2972620127","https://openalex.org/W3013647784","https://openalex.org/W4237171675","https://openalex.org/W2981141433","https://openalex.org/W2997281059","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901"],"abstract_inverted_index":{"Recently,":[0],"although":[1],"multispectral":[2,150],"pedestrian":[3,25,47,67,84,89,93,99,116,128,151],"detection":[4,152],"has":[5],"achieved":[6],"remarkable":[7],"performances,":[8],"there":[9],"is":[10],"still":[11],"a":[12,24,37,66,78,83,110,136],"problem":[13],"to":[14,21,43,91],"be":[15],"handled,":[16],"position":[17],"shift":[18],"problem.":[19],"Due":[20],"the":[22,54,120,125,132,140],"problem,":[23],"looks":[26],"like":[27],"existing":[28],"in":[29,49,101],"different":[30],"positions":[31],"between":[32],"each":[33],"modal":[34,51,103],"image.":[35],"Then,":[36],"single":[38],"bounding":[39],"box":[40],"usually":[41],"fails":[42],"capture":[44],"an":[45,97],"entire":[46,98],"properly":[48,100],"both":[50,102],"images":[52],"at":[53],"same":[55],"time,":[56],"which":[57,95,113],"means":[58],"it":[59],"would":[60],"not":[61],"contain":[62],"some":[63],"parts":[64],"of":[65,127,135,142],"and":[68,118],"includes":[69],"noisy":[70],"backgrounds":[71],"instead.":[72],"In":[73],"this":[74,106],"paper,":[75],"we":[76,108],"propose":[77],"novel":[79],"approach,":[80],"that":[81],"is,":[82],"feature":[85],"mapping":[86],"from":[87],"mis-captured":[88],"features":[90,94,122],"well-captured":[92,115,121],"encode":[96],"images.":[104],"To":[105],"end,":[107],"utilize":[109],"memory":[111],"architecture":[112],"stores":[114],"features,":[117],"then,":[119],"can":[123],"enhance":[124],"quality":[126],"representation":[129],"by":[130],"providing":[131],"distinctive":[133],"information":[134],"pedestrian.":[137],"We":[138],"validate":[139],"effectiveness":[141],"our":[143],"approach":[144],"with":[145],"comprehensive":[146],"experiments":[147],"on":[148],"two":[149],"datasets,":[153],"achieving":[154],"state-of-the-art":[155],"performances.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
