{"id":"https://openalex.org/W2062471702","doi":"https://doi.org/10.1109/ijcnn.2013.6706810","title":"Traffic sign detection by ROI extraction and histogram features-based recognition","display_name":"Traffic sign detection by ROI extraction and histogram features-based recognition","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2062471702","doi":"https://doi.org/10.1109/ijcnn.2013.6706810","mag":"2062471702"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2013.6706810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","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/A5021434848","display_name":"Ming Liang","orcid":"https://orcid.org/0000-0002-2723-9041"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Liang","raw_affiliation_strings":["School of Medicine, Tsinghua University, Beijing 100084, China","School of medicine, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Medicine, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of medicine, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060567847","display_name":"Mingyi Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyi Yuan","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), and Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China","Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), and Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004579631","display_name":"Xiaolin Hu","orcid":"https://orcid.org/0000-0002-4907-7354"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Hu","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), and Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China","Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), and Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372739","display_name":"Jianmin Li","orcid":"https://orcid.org/0000-0002-4937-2433"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Li","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), and Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China","Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), and Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041101317","display_name":"Huaping Liu","orcid":"https://orcid.org/0000-0002-4042-6044"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaping Liu","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), and Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China","Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), and Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021434848"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":10.5998,"has_fulltext":false,"cited_by_count":96,"citation_normalized_percentile":{"value":0.9833248,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8003209829330444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7197527289390564},{"id":"https://openalex.org/keywords/traffic-sign-recognition","display_name":"Traffic sign recognition","score":0.7059949040412903},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6302447319030762},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5999279022216797},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5558143258094788},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5195525288581848},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5091587901115417},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4924255311489105},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4839673340320587},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.4779384434223175},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4188881814479828},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.4119827449321747},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.3440510034561157},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22446706891059875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2134196162223816}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8003209829330444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7197527289390564},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.7059949040412903},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6302447319030762},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5999279022216797},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5558143258094788},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5195525288581848},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5091587901115417},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4924255311489105},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4839673340320587},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.4779384434223175},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4188881814479828},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.4119827449321747},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.3440510034561157},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22446706891059875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2134196162223816},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2013.6706810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1490423849","https://openalex.org/W2002427601","https://openalex.org/W2111502429","https://openalex.org/W2118585731","https://openalex.org/W2135268372","https://openalex.org/W2136094925","https://openalex.org/W2141645523","https://openalex.org/W2153635508","https://openalex.org/W2161969291","https://openalex.org/W2164230999","https://openalex.org/W2169503859","https://openalex.org/W2539756509","https://openalex.org/W2540613817","https://openalex.org/W2547297028","https://openalex.org/W2914885528","https://openalex.org/W3147338142","https://openalex.org/W6677656871"],"related_works":["https://openalex.org/W4382897155","https://openalex.org/W4379231512","https://openalex.org/W4283820116","https://openalex.org/W4378699879","https://openalex.org/W3128164723","https://openalex.org/W4286647459","https://openalex.org/W2030871893","https://openalex.org/W2744049237","https://openalex.org/W2790962970","https://openalex.org/W2771114433"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,54,68,87,150],"traffic":[3,39,91],"sign":[4],"detection":[5],"model":[6,110,115,161],"consisting":[7],"of":[8,18,56,62,70,90,158],"two":[9],"modules.":[10],"The":[11,74,103,113,141],"first":[12],"module":[13,76],"is":[14,77,116,144],"for":[15,37,58,78,134],"ROI":[16,84],"(region":[17],"interest)":[19],"extraction.":[20],"By":[21],"supervised":[22,94,104],"learning,":[23],"it":[24],"transforms":[25],"the":[26,34,38,45,109,119,131,155,159],"color":[27,99],"images":[28,31],"to":[29,86],"gray":[30,46],"such":[32],"that":[33],"characteristic":[35],"colors":[36],"signs":[40,63,92],"are":[41,64,72,101,111],"more":[42],"distinguishable":[43],"in":[44,108,162],"images.":[47],"It":[48,80],"follows":[49],"shape":[50,97],"template":[51],"matching,":[52],"where":[53],"set":[55,69],"templates":[57],"each":[59],"target":[60,88],"category":[61,89],"designed.":[65],"After":[66],"that,":[67],"ROIs":[71],"generated.":[73],"second":[75,146],"recognition.":[79],"validates":[81],"if":[82],"an":[83],"belongs":[85],"by":[93],"learning.":[95],"Local":[96],"and":[98,122,126,137],"features":[100],"extracted.":[102],"learning":[105],"methods":[106],"used":[107],"SVMs.":[112],"overall":[114],"applied":[117],"on":[118,149],"GTSDB":[120],"benchmark":[121],"achieves":[123],"100%,":[124],"98.85%":[125],"92.00%":[127],"AUC":[128],"(area":[129],"under":[130],"precision-recall":[132],"curve)":[133],"Prohibitory,":[135],"Danger":[136],"Mandatory":[138],"signs,":[139],"respectively.":[140],"testing":[142],"speed":[143],"0.4-1.0":[145],"per":[147],"image":[148],"mainstream":[151],"PC,":[152],"which":[153],"demonstrates":[154],"great":[156],"potential":[157],"proposed":[160],"real-time":[163],"applications.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":1}],"updated_date":"2026-01-08T20:05:33.558190","created_date":"2025-10-10T00:00:00"}
