{"id":"https://openalex.org/W2769260766","doi":"https://doi.org/10.1145/3131885.3131925","title":"Traffic Sign Detection from Lower-quality and Noisy Mobile Videos","display_name":"Traffic Sign Detection from Lower-quality and Noisy Mobile Videos","publication_year":2017,"publication_date":"2017-09-05","ids":{"openalex":"https://openalex.org/W2769260766","doi":"https://doi.org/10.1145/3131885.3131925","mag":"2769260766"},"language":"en","primary_location":{"id":"doi:10.1145/3131885.3131925","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3131885.3131925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Distributed Smart Cameras","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/A5089336356","display_name":"Koray \u00d6zcan","orcid":"https://orcid.org/0000-0002-1221-9224"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Koray Ozcan","raw_affiliation_strings":["Institute for Transportation, Iowa State University, Ames, Iowa"],"affiliations":[{"raw_affiliation_string":"Institute for Transportation, Iowa State University, Ames, Iowa","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004337702","display_name":"Senem Velipasalar","orcid":"https://orcid.org/0000-0002-1430-1555"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Senem Velipasalar","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018879445","display_name":"Anuj Sharma","orcid":"https://orcid.org/0000-0001-5929-5120"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anuj Sharma","raw_affiliation_strings":["Department of Civil, Construction and Environmental Engineering, Iowa State University, Ames, Iowa"],"affiliations":[{"raw_affiliation_string":"Department of Civil, Construction and Environmental Engineering, Iowa State University, Ames, Iowa","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089336356"],"corresponding_institution_ids":["https://openalex.org/I173911158"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58259961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9979000091552734,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8777892589569092},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6130259037017822},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5755120515823364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5468213558197021},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5400323271751404},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5302861332893372},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5300623774528503},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4862862825393677},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4407038390636444},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.43252235651016235},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.41925060749053955},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.41537562012672424},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.19231748580932617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8777892589569092},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6130259037017822},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5755120515823364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5468213558197021},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5400323271751404},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5302861332893372},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5300623774528503},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4862862825393677},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4407038390636444},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43252235651016235},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.41925060749053955},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.41537562012672424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.19231748580932617},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3131885.3131925","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3131885.3131925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Distributed Smart Cameras","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7788141414","display_name":null,"funder_award_id":"CNS-1206291 and CNS-1302559","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W206388996","https://openalex.org/W753012316","https://openalex.org/W1533162639","https://openalex.org/W1536680647","https://openalex.org/W1977610018","https://openalex.org/W1978736542","https://openalex.org/W2014121404","https://openalex.org/W2037227137","https://openalex.org/W2067713319","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2125556102","https://openalex.org/W2126628495","https://openalex.org/W2133059825","https://openalex.org/W2147800946","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2953106684"],"related_works":["https://openalex.org/W2969228573","https://openalex.org/W2071599417","https://openalex.org/W2963690996","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W2979608518","https://openalex.org/W1964725559","https://openalex.org/W3109748140","https://openalex.org/W2045053268","https://openalex.org/W2767833206"],"abstract_inverted_index":{"Accurate":[0],"traffic":[1],"sign":[2],"detection,":[3],"from":[4,27,44],"vehicle-mounted":[5,45],"cameras,":[6],"is":[7,18],"an":[8],"important":[9],"task":[10,21],"for":[11,74],"autonomous":[12],"driving":[13],"and":[14,69,77,91,102,104,122,135],"driver":[15],"assistance.":[16],"It":[17,47],"a":[19,72,84,117,136],"challenging":[20],"especially":[22],"when":[23],"the":[24,96,129,132,141],"videos":[25,42,115],"acquired":[26],"mobile":[28],"cameras":[29],"on":[30,40],"portable":[31],"devices":[32],"are":[33,66],"low-quality.":[34],"In":[35,79],"this":[36,80],"paper,":[37,81],"we":[38,82],"focus":[39],"naturalistic":[41],"captured":[43],"cameras.":[46],"has":[48],"been":[49],"shown":[50],"that":[51],"Region-based":[52],"Convolutional":[53],"Neural":[54],"Networks":[55],"provide":[56],"high":[57],"accuracy":[58],"rates":[59],"in":[60],"object":[61],"detection":[62],"tasks.":[63],"Yet,":[64],"they":[65],"computationally":[67],"expensive,":[68],"often":[70],"require":[71],"GPU":[73],"faster":[75,100,137],"training":[76,101],"processing.":[78],"present":[83],"new":[85],"method,":[86],"incorporating":[87],"Aggregate":[88],"Channel":[89],"Features":[90],"Chain":[92],"Code":[93],"Histograms,":[94],"with":[95],"goal":[97],"of":[98,119,131],"much":[99],"testing,":[103],"comparable":[105],"or":[106],"better":[107],"performance":[108,138],"without":[109],"requiring":[110],"specialized":[111],"processors.":[112],"Our":[113],"test":[114],"cover":[116],"range":[118],"different":[120],"weather":[121],"daytime":[123],"scenarios.":[124],"The":[125],"experimental":[126],"results":[127],"show":[128],"promise":[130],"proposed":[133],"method":[134],"compared":[139],"to":[140],"other":[142],"detectors.":[143]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}