{"id":"https://openalex.org/W2150033811","doi":"https://doi.org/10.1109/icalip.2014.7009821","title":"Traffic sign recognition based on kernel sparse representation","display_name":"Traffic sign recognition based on kernel sparse representation","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2150033811","doi":"https://doi.org/10.1109/icalip.2014.7009821","mag":"2150033811"},"language":"en","primary_location":{"id":"doi:10.1109/icalip.2014.7009821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Audio, Language and Image Processing","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/A5100642377","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0002-9984-1752"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010840761","display_name":"Guoqiang Xie","orcid":"https://orcid.org/0000-0002-3422-5908"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Xie","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008596733","display_name":"Junli Chen","orcid":"https://orcid.org/0000-0002-3858-4844"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junli Chen","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100947680","display_name":"Xiuli Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuli Ma","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058113294","display_name":"Zongxin Yu","orcid":"https://orcid.org/0000-0002-7537-2322"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongxin Yu","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21070065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"386","last_page":"389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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":0.9969000220298767,"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":0.9954000115394592,"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":0.9948999881744385,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8079438209533691},{"id":"https://openalex.org/keywords/traffic-sign-recognition","display_name":"Traffic sign recognition","score":0.7687945365905762},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7504581212997437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7258209586143494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7188050746917725},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6659122705459595},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6588645577430725},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5701245069503784},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5209892392158508},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.42231523990631104},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.416395902633667},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.3270813822746277},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.25415903329849243},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20575526356697083}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8079438209533691},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.7687945365905762},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7504581212997437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7258209586143494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7188050746917725},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6659122705459595},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6588645577430725},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5701245069503784},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5209892392158508},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.42231523990631104},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.416395902633667},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.3270813822746277},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.25415903329849243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20575526356697083},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icalip.2014.7009821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Audio, Language and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1997844571","https://openalex.org/W2037757210","https://openalex.org/W2042082479","https://openalex.org/W2115036400","https://openalex.org/W2134149613","https://openalex.org/W2151103935","https://openalex.org/W2159514083","https://openalex.org/W2160326621"],"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/W3215426395","https://openalex.org/W4286647459","https://openalex.org/W2557202782","https://openalex.org/W2772251146","https://openalex.org/W2790032261"],"abstract_inverted_index":{"This":[0,25],"paper":[1],"proposes":[2],"a":[3],"novel":[4],"approach":[5,89],"based":[6,64],"on":[7,65],"scale":[8],"invariant":[9],"feature":[10,39],"transform":[11],"(SIFT)":[12],"and":[13,43,77,102],"kernel":[14,53,66],"sparse":[15,67],"representation":[16],"for":[17,38],"traffic":[18,23,70,96,106],"sign":[19],"recognition":[20,100],"in":[21,80,104],"complex":[22,105],"scenes.":[24],"module":[26],"consists":[27],"of":[28],"several":[29],"steps.":[30],"In":[31,55],"the":[32,52,56,81,87,91],"first":[33],"stage,":[34,58],"SIFT":[35],"is":[36],"introduced":[37],"extraction":[40],"from":[41],"samples":[42],"test":[44],"targets,":[45],"respectively.":[46],"The":[47],"features":[48,97],"are":[49,72],"mapping":[50],"to":[51],"space.":[54],"second":[57],"we":[59],"construct":[60],"an":[61],"over-complete":[62],"dictionary":[63],"representation.":[68],"Finally,":[69],"objects":[71],"recognized":[73],"by":[74],"computing":[75],"sparseness":[76],"reconstruction":[78],"residuals":[79],"dictionary.":[82],"Experiment":[83],"results":[84],"show":[85],"that":[86],"proposed":[88],"enhances":[90],"class":[92],"discriminant":[93],"ability":[94],"using":[95],"with":[98,109],"higher":[99],"preciseness":[101],"robustness":[103],"scenes":[107],"compared":[108],"SVM,":[110],"SRC.":[111]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}