{"id":"https://openalex.org/W2922157033","doi":"https://doi.org/10.1109/robio.2018.8665259","title":"A Text Detection and Recognition System Based on an End-to-End Trainable Framework from UAV Imagery","display_name":"A Text Detection and Recognition System Based on an End-to-End Trainable Framework from UAV Imagery","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2922157033","doi":"https://doi.org/10.1109/robio.2018.8665259","mag":"2922157033"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2018.8665259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8665259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5045187270","display_name":"Qingtian Wu","orcid":"https://orcid.org/0000-0002-2475-9156"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingtian Wu","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016437592","display_name":"Yimin Zhou","orcid":"https://orcid.org/0000-0003-2337-776X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Zhou","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084558732","display_name":"Guoyuan Liang","orcid":"https://orcid.org/0000-0002-5207-6969"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyuan Liang","raw_affiliation_strings":["Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2282,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63600103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"736","last_page":"741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9995999932289124,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9995999932289124,"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":0.9965000152587891,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9941999912261963,"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":0.7946962118148804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.674663245677948},{"id":"https://openalex.org/keywords/text-detection","display_name":"Text detection","score":0.6194139122962952},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5938354134559631},{"id":"https://openalex.org/keywords/underlay","display_name":"Underlay","score":0.5690298080444336},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.5556429028511047},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48790690302848816},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4643787145614624},{"id":"https://openalex.org/keywords/overlay","display_name":"Overlay","score":0.439081609249115},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4299164116382599},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41914913058280945},{"id":"https://openalex.org/keywords/text-recognition","display_name":"Text recognition","score":0.41710662841796875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4151303768157959},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34838226437568665},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10255572199821472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7946962118148804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.674663245677948},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.6194139122962952},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5938354134559631},{"id":"https://openalex.org/C2777679929","wikidata":"https://www.wikidata.org/wiki/Q7883709","display_name":"Underlay","level":3,"score":0.5690298080444336},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.5556429028511047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48790690302848816},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4643787145614624},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.439081609249115},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4299164116382599},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41914913058280945},{"id":"https://openalex.org/C2983812711","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text recognition","level":3,"score":0.41710662841796875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4151303768157959},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34838226437568665},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10255572199821472},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2018.8665259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8665259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W70975097","https://openalex.org/W654550266","https://openalex.org/W753012316","https://openalex.org/W1607307044","https://openalex.org/W1686810756","https://openalex.org/W1922126009","https://openalex.org/W1971595332","https://openalex.org/W1994623790","https://openalex.org/W1998042868","https://openalex.org/W1998384060","https://openalex.org/W2006653496","https://openalex.org/W2056435187","https://openalex.org/W2076014259","https://openalex.org/W2078997308","https://openalex.org/W2134132354","https://openalex.org/W2135231474","https://openalex.org/W2137718414","https://openalex.org/W2142159465","https://openalex.org/W2194187530","https://openalex.org/W2322636064","https://openalex.org/W2343052201","https://openalex.org/W2519818067","https://openalex.org/W2533644792","https://openalex.org/W2560354825","https://openalex.org/W2592929672","https://openalex.org/W2621274416","https://openalex.org/W2777652944","https://openalex.org/W2964300754","https://openalex.org/W6602936574","https://openalex.org/W6622239757","https://openalex.org/W6636382570","https://openalex.org/W6638296183","https://openalex.org/W6643302390","https://openalex.org/W6680080072","https://openalex.org/W6680140823","https://openalex.org/W6729028248"],"related_works":["https://openalex.org/W2470213802","https://openalex.org/W2921979903","https://openalex.org/W1597460884","https://openalex.org/W4312663241","https://openalex.org/W4221004363","https://openalex.org/W2963299604","https://openalex.org/W3211262047","https://openalex.org/W950386562","https://openalex.org/W2949229884","https://openalex.org/W2777652944"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,65,84,112],"UAV-based":[6],"system":[7,29,133],"for":[8,43],"text":[9,26,32,48,52,56,72,79,110,138],"(mainly":[10],"English":[11,76],"and":[12,15,24,34,46,54,93,100,126,136,144],"Chinese)":[13],"detection":[14,33,53],"recognition.":[16],"With":[17],"the":[18,28,108,131],"combination":[19],"of":[20],"unmanned":[21,44],"aerial":[22],"vehicle":[23],"scene":[25],"recognition,":[27],"can":[30,58,134],"realize":[31],"recognition":[35,57],"in":[36,83,123,140],"long-range":[37],"air-plane":[38],"images,":[39],"providing":[40],"an":[41,88],"underlay":[42],"navigation":[45],"fast":[47],"information":[49,139],"understanding.":[50],"Robust":[51],"accurate":[55],"be":[59],"achieved":[60],"by":[61,74,95],"two":[62],"contributions.":[63],"First,":[64],"scalable":[66],"engine":[67],"is":[68,91,104],"proposed":[69,132],"to":[70,106,128],"synthesize":[71],"images":[73,82],"overlaying":[75],"or":[77],"Chinese":[78],"into":[80],"existing":[81],"natural":[85],"way.":[86],"Second,":[87],"framework":[89],"which":[90],"trainable":[92],"end-to-end":[94],"combining":[96],"Convolutional":[97],"Neural":[98,102],"Network":[99,103],"Recurrent":[101],"adapted":[105],"recognize":[107],"variable-length":[109],"with":[111,119],"high":[113],"accuracy.":[114],"Field":[115],"experiments":[116],"are":[117],"performed":[118],"different":[120],"videos":[121],"shot":[122],"various":[124],"backgrounds":[125],"outdoors":[127],"show":[129],"that":[130],"detect":[135],"recognise":[137],"UAV":[141],"imagery":[142],"robustly":[143],"effectively.":[145]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
