{"id":"https://openalex.org/W2730764323","doi":"https://doi.org/10.1504/ijcvr.2017.10005888","title":"Efficient local adaptive thresholding for night-time vehicle candidate detection","display_name":"Efficient local adaptive thresholding for night-time vehicle candidate detection","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2730764323","doi":"https://doi.org/10.1504/ijcvr.2017.10005888","mag":"2730764323"},"language":"en","primary_location":{"id":"doi:10.1504/ijcvr.2017.10005888","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcvr.2017.10005888","pdf_url":null,"source":{"id":"https://openalex.org/S11968101","display_name":"International Journal of Computational Vision and Robotics","issn_l":"1752-9131","issn":["1752-9131","1752-914X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Vision and Robotics","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/A5029473053","display_name":"Ju H. Park","orcid":"https://orcid.org/0000-0002-0218-2333"},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ju H. Park","raw_affiliation_strings":["Department of Electronic Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do, 38541, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do, 38541, Korea","institution_ids":["https://openalex.org/I55240360"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109169567","display_name":"Ho Youl Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ho Youl Jung","raw_affiliation_strings":["Department of Information and Communication Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do, 38541, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do, 38541, Korea","institution_ids":["https://openalex.org/I55240360"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101041495","display_name":"Hyojin Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyojin Lim","raw_affiliation_strings":["Department of Information and Communication Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do, 38541, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do, 38541, Korea","institution_ids":["https://openalex.org/I55240360"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052700195","display_name":"Cuong Nguyen Khac","orcid":null},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Cuong Nguyen Khac","raw_affiliation_strings":["Department of Information and Communication Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do, 38541, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do, 38541, Korea","institution_ids":["https://openalex.org/I55240360"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101085882","display_name":"Yeongyu Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeongyu Choi","raw_affiliation_strings":["Department of Information and Communication Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do, 38541, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do, 38541, Korea","institution_ids":["https://openalex.org/I55240360"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55240360"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09232328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"5","first_page":"574","last_page":"574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9915000200271606,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.9796123504638672},{"id":"https://openalex.org/keywords/balanced-histogram-thresholding","display_name":"Balanced histogram thresholding","score":0.7975590825080872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7783908247947693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7002351880073547},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5431666374206543},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.487810879945755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44692301750183105},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.4321731626987457},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.40366119146347046},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38269418478012085},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07865545153617859}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.9796123504638672},{"id":"https://openalex.org/C202577368","wikidata":"https://www.wikidata.org/wiki/Q2576067","display_name":"Balanced histogram thresholding","level":5,"score":0.7975590825080872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7783908247947693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7002351880073547},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5431666374206543},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.487810879945755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44692301750183105},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.4321731626987457},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.40366119146347046},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38269418478012085},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07865545153617859},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijcvr.2017.10005888","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcvr.2017.10005888","pdf_url":null,"source":{"id":"https://openalex.org/S11968101","display_name":"International Journal of Computational Vision and Robotics","issn_l":"1752-9131","issn":["1752-9131","1752-914X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Vision and Robotics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1990592446","https://openalex.org/W2032558130","https://openalex.org/W2353864504","https://openalex.org/W2750730210","https://openalex.org/W2461888822","https://openalex.org/W2113070050","https://openalex.org/W2387104004","https://openalex.org/W4248730019","https://openalex.org/W2147223569","https://openalex.org/W2028276520"],"abstract_inverted_index":{"In":[0,126],"the":[1,6,29,46,83,99,128,132],"current":[2],"commercial":[3],"automotive":[4],"market,":[5],"need":[7],"for":[8,58,95],"intelligent":[9],"headlight":[10],"control":[11,33],"systems":[12],"has":[13,22,137],"increased":[14],"more":[15],"and":[16,75,82,143],"more.":[17],"Camera-based":[18],"night-time":[19,60],"vehicle":[20,61],"detection":[21,56],"become":[23],"a":[24,59],"crucial":[25],"issue":[26],"in":[27,53],"determining":[28],"performance":[30,57,119,139],"of":[31,37,55],"such":[32,66],"systems.":[34],"The":[35],"purpose":[36],"this":[38],"paper":[39],"is":[40,51,78,85],"to":[41,45],"offer":[42],"an":[43],"answer":[44],"question,":[47],"'Which":[48],"thresholding":[49,71,115,124,135],"method":[50,136],"suitable":[52],"terms":[54],"candidate":[62],"selection":[63],"process?'":[64],"For":[65],"purposes,":[67],"two":[68],"local":[69,79,86,113],"adaptive":[70,114],"methods":[72,116],"are":[73,92],"introduced":[74,94],"tested.":[76],"One":[77],"maximum-based":[80],"thresholding,":[81],"other":[84,121],"mean-based":[87,134],"thresholding.":[88],"Efficient":[89],"implementation":[90],"methodologies":[91],"also":[93],"real-time":[96],"processing.":[97],"Through":[98],"simulations":[100,129],"tested":[101],"on":[102,140],"road":[103],"image":[104],"sequences":[105],"with":[106],"different":[107],"exposure":[108],"times,":[109],"we":[110],"prove":[111],"that":[112,131],"have":[117],"better":[118,138],"than":[120],"well-known":[122],"global":[123],"methods.":[125],"particular,":[127],"show":[130],"proposed":[133],"both":[141],"long-":[142],"short-exposure":[144],"sequences.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}