{"id":"https://openalex.org/W2135496533","doi":"https://doi.org/10.1109/ivs.2014.6856492","title":"Coupled detection, association and tracking for Traffic Sign Recognition","display_name":"Coupled detection, association and tracking for Traffic Sign Recognition","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2135496533","doi":"https://doi.org/10.1109/ivs.2014.6856492","mag":"2135496533"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2014.6856492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079880544","display_name":"Mohammed Boumediene","orcid":"https://orcid.org/0000-0001-8773-7723"},"institutions":[{"id":"https://openalex.org/I3124969661","display_name":"Universit\u00e9 des Sciences et de la Technologie d'Oran Mohamed Boudiaf","ror":"https://ror.org/02nbj1r55","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3124969661"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mohammed Boumediene","raw_affiliation_strings":["Laboratoire LSI, Universit\u00e9 des Sciences et de la Technologie Mohamed Boudiaf (USTOMB), Alg\u00e9rie","Lab. LSI, Univ. des Sci. et de la Technol. Mohamed Boudiaf, Oran, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire LSI, Universit\u00e9 des Sciences et de la Technologie Mohamed Boudiaf (USTOMB), Alg\u00e9rie","institution_ids":["https://openalex.org/I3124969661"]},{"raw_affiliation_string":"Lab. LSI, Univ. des Sci. et de la Technol. Mohamed Boudiaf, Oran, Algeria","institution_ids":["https://openalex.org/I3124969661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009129425","display_name":"Jean-Philippe Lauffenburger","orcid":"https://orcid.org/0000-0002-5891-8418"},"institutions":[{"id":"https://openalex.org/I2800745255","display_name":"Universit\u00e9 de Haute-Alsace","ror":"https://ror.org/04k8k6n84","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800745255"]},{"id":"https://openalex.org/I4387152507","display_name":"Laboratoire Math\u00e9matiques, Image et Applications","ror":"https://ror.org/01r0cs760","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152507","https://openalex.org/I78744979"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Philippe Lauffenburger","raw_affiliation_strings":["Universite de Haute-Alsace, Mulhouse, Alsace-Champagne-Ardenne-, FR","Lab. MIPS-EA2332, Univ. de Haute Alsace, Mulhouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universite de Haute-Alsace, Mulhouse, Alsace-Champagne-Ardenne-, FR","institution_ids":["https://openalex.org/I2800745255"]},{"raw_affiliation_string":"Lab. MIPS-EA2332, Univ. de Haute Alsace, Mulhouse, France","institution_ids":["https://openalex.org/I2800745255","https://openalex.org/I4387152507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111650471","display_name":"Jeremie Daniel","orcid":null},"institutions":[{"id":"https://openalex.org/I2800745255","display_name":"Universit\u00e9 de Haute-Alsace","ror":"https://ror.org/04k8k6n84","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800745255"]},{"id":"https://openalex.org/I4387152507","display_name":"Laboratoire Math\u00e9matiques, Image et Applications","ror":"https://ror.org/01r0cs760","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152507","https://openalex.org/I78744979"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jeremie Daniel","raw_affiliation_strings":["Universite de Haute-Alsace, Mulhouse, Alsace-Champagne-Ardenne-, FR","Lab. MIPS-EA2332, Univ. de Haute Alsace, Mulhouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universite de Haute-Alsace, Mulhouse, Alsace-Champagne-Ardenne-, FR","institution_ids":["https://openalex.org/I2800745255"]},{"raw_affiliation_string":"Lab. MIPS-EA2332, Univ. de Haute Alsace, Mulhouse, France","institution_ids":["https://openalex.org/I2800745255","https://openalex.org/I4387152507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075052930","display_name":"Christophe Cudel","orcid":"https://orcid.org/0000-0003-0356-2300"},"institutions":[{"id":"https://openalex.org/I2800745255","display_name":"Universit\u00e9 de Haute-Alsace","ror":"https://ror.org/04k8k6n84","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800745255"]},{"id":"https://openalex.org/I4387152507","display_name":"Laboratoire Math\u00e9matiques, Image et Applications","ror":"https://ror.org/01r0cs760","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152507","https://openalex.org/I78744979"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christophe Cudel","raw_affiliation_strings":["Universite de Haute-Alsace, Mulhouse, Alsace-Champagne-Ardenne-, FR","Lab. MIPS-EA2332, Univ. de Haute Alsace, Mulhouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universite de Haute-Alsace, Mulhouse, Alsace-Champagne-Ardenne-, FR","institution_ids":["https://openalex.org/I2800745255"]},{"raw_affiliation_string":"Lab. MIPS-EA2332, Univ. de Haute Alsace, Mulhouse, France","institution_ids":["https://openalex.org/I2800745255","https://openalex.org/I4387152507"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.899,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81276165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1402","last_page":"1407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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":0.9987999796867371,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T12549","display_name":"Image and Object Detection Techniques","score":0.9965999722480774,"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":0.7453809976577759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7127367854118347},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6980471014976501},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6496437191963196},{"id":"https://openalex.org/keywords/traffic-sign-recognition","display_name":"Traffic sign recognition","score":0.6211208701133728},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6009048819541931},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5669853091239929},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5264428853988647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5109854936599731},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.47140219807624817},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.46480169892311096},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.4475501477718353},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43835875391960144},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.4277242124080658},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.41260990500450134},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.36305853724479675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17842555046081543},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.12962019443511963}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7453809976577759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7127367854118347},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6980471014976501},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6496437191963196},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.6211208701133728},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6009048819541931},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5669853091239929},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5264428853988647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5109854936599731},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.47140219807624817},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.46480169892311096},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.4475501477718353},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43835875391960144},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.4277242124080658},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41260990500450134},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.36305853724479675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17842555046081543},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.12962019443511963},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivs.2014.6856492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01123469v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01123469","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Intelligent Vehicles Symposium, IEEE, Jun 2014, Dearborn, United States. &#x27E8;10.1109/IVS.2014.6856492&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1565319155","https://openalex.org/W1568122762","https://openalex.org/W1663421356","https://openalex.org/W1964948463","https://openalex.org/W1969099385","https://openalex.org/W1975650154","https://openalex.org/W1989454313","https://openalex.org/W2004783587","https://openalex.org/W2012410891","https://openalex.org/W2017541195","https://openalex.org/W2020526086","https://openalex.org/W2025951822","https://openalex.org/W2058130919","https://openalex.org/W2066314687","https://openalex.org/W2066843515","https://openalex.org/W2067191022","https://openalex.org/W2071984725","https://openalex.org/W2077753765","https://openalex.org/W2105934661","https://openalex.org/W2111308925","https://openalex.org/W2117079761","https://openalex.org/W2126628495","https://openalex.org/W2127923214","https://openalex.org/W2129078811","https://openalex.org/W2140477254","https://openalex.org/W2159160074","https://openalex.org/W2222512263","https://openalex.org/W2403746960","https://openalex.org/W2406470551","https://openalex.org/W2797148637","https://openalex.org/W4301347335","https://openalex.org/W6634064389","https://openalex.org/W6641167423","https://openalex.org/W6680946037"],"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/W2899819381","https://openalex.org/W2557202782","https://openalex.org/W3215426395","https://openalex.org/W4382176313"],"abstract_inverted_index":{"This":[0,28],"paper":[1],"tackles":[2],"the":[3,51,64,72,80,84,114,118],"problem":[4],"of":[5,125],"tracking-based":[6],"Traffic":[7],"Sign":[8],"Recognition":[9],"(TSR)":[10],"systems.":[11],"It":[12],"presents":[13],"an":[14],"integrated":[15],"object":[16],"detection,":[17],"association":[18],"and":[19,87,108,117],"tracking":[20,115],"approach":[21],"based":[22],"on":[23],"a":[24,110,121],"spatio-temporal":[25],"data":[26],"fusion.":[27],"algorithm":[29,116],"tracks":[30],"detected":[31,85],"sign":[32],"candidates":[33],"in":[34],"order":[35],"to":[36,60,100,105,109],"reduce":[37],"false":[38,102,122],"positives.":[39,103],"Regions":[40],"Of":[41],"Interest":[42],"(ROIs)":[43],"potentially":[44],"containing":[45],"traffic":[46],"signs":[47],"are":[48,69,94],"determined":[49],"from":[50],"vehicle-mounted":[52],"camera":[53],"images.":[54],"An":[55],"original":[56],"corner":[57],"detector":[58],"associated":[59],"pixel":[61],"coding":[62],"ensures":[63],"detection":[65],"efficiency.":[66],"The":[67,77,96],"ROIs":[68,86,88],"combined":[70],"using":[71],"Transferable":[73],"Belief":[74],"Model":[75],"semantics.":[76],"associations":[78],"maximizing":[79],"pairwise":[81],"belief":[82],"between":[83,113],"tracked":[89],"by":[90],"multiple":[91],"Kalman":[92],"filters":[93],"processed.":[95],"track":[97],"evolution":[98],"helps":[99],"detect":[101],"Thanks":[104],"this":[106],"solution":[107],"feedback":[111],"loop":[112],"ROI":[119],"detector,":[120],"positive":[123],"reduction":[124],"45%":[126],"is":[127],"assessed.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
