{"id":"https://openalex.org/W2413855997","doi":"https://doi.org/10.1109/acpr.2015.7486473","title":"Traffic sign detection from video: A fast approach with tracking","display_name":"Traffic sign detection from video: A fast approach with tracking","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2413855997","doi":"https://doi.org/10.1109/acpr.2015.7486473","mag":"2413855997"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2015.7486473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","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/A5100446865","display_name":"Dongdong Wang","orcid":"https://orcid.org/0000-0001-9956-6861"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongdong Wang","raw_affiliation_strings":["National Laboratory of Pattern Recognition (NLPR), Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR), Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010013507","display_name":"Xinwen Hou","orcid":"https://orcid.org/0000-0002-8468-001X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwen Hou","raw_affiliation_strings":["National Laboratory of Pattern Recognition (NLPR), Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR), Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100714202","display_name":"Cheng\u2010Lin Liu","orcid":"https://orcid.org/0000-0002-6743-4175"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng-Lin Liu","raw_affiliation_strings":["National Laboratory of Pattern Recognition (NLPR), Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition (NLPR), Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100446865"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6292419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"096","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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":0.9991999864578247,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9929999709129333,"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/computer-science","display_name":"Computer science","score":0.8608710765838623},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.8285102844238281},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7655715942382812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.676343560218811},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6534664630889893},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5161279439926147},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5057399272918701},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4830261170864105},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.47150081396102905},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.4538714289665222},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4515303373336792},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41214215755462646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.26005810499191284},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07144463062286377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8608710765838623},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.8285102844238281},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7655715942382812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.676343560218811},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6534664630889893},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5161279439926147},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5057399272918701},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4830261170864105},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.47150081396102905},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.4538714289665222},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4515303373336792},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41214215755462646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26005810499191284},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07144463062286377},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2015.7486473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1509340121","https://openalex.org/W1950935069","https://openalex.org/W1977610018","https://openalex.org/W1986013514","https://openalex.org/W1987118352","https://openalex.org/W1998871722","https://openalex.org/W2002427601","https://openalex.org/W2012410891","https://openalex.org/W2031454541","https://openalex.org/W2046796782","https://openalex.org/W2052533453","https://openalex.org/W2062471702","https://openalex.org/W2073800658","https://openalex.org/W2074643422","https://openalex.org/W2121132132","https://openalex.org/W2135268372","https://openalex.org/W2147251114"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W4310880131","https://openalex.org/W4382050342"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"fast":[4],"approach":[5],"for":[6],"traffic":[7],"sign":[8],"detection":[9,30],"from":[10],"video.":[11],"First,":[12],"we":[13,51],"modify":[14],"the":[15,37,42,45,56,60,67,80],"image-based":[16,38],"detector":[17,69,81],"HHVCas":[18,68],"to":[19,28,55,71],"improve":[20],"its":[21],"accuracy":[22],"and":[23,74,85],"speed,":[24],"then":[25],"apply":[26],"it":[27],"video-based":[29],"with":[31],"further":[32],"acceleration":[33],"by":[34,40,89,100],"tracking.":[35],"For":[36],"detector,":[39],"optimizing":[41],"parameters":[43],"in":[44,66,111],"cascade":[46],"using":[47],"an":[48],"unsupervised":[49],"approach,":[50],"achieve":[52],"performance":[53],"comparable":[54],"state-of-the-art":[57],"while":[58],"keeping":[59],"speed":[61],"advantage.":[62],"Parallelizing":[63],"some":[64],"steps":[65],"leads":[70],"1.5\u00d7":[72],"speedup":[73,84],"20":[75],"fps":[76,88],"detection.":[77],"In":[78],"video,":[79],"achieves":[82],"2.8\u00d7":[83],"performs":[86],"35":[87],"tracking":[90],"every":[91],"other":[92],"frame.":[93],"It":[94],"also":[95],"obtains":[96],"significant":[97],"precision":[98],"increase":[99],"5~8%":[101],"at":[102],"high":[103],"recall":[104],"when":[105],"exploiting":[106],"temporal":[107],"coherence":[108],"of":[109],"results":[110],"multiple":[112],"frames.":[113]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}