{"id":"https://openalex.org/W2159072271","doi":"https://doi.org/10.1109/icdar.2015.7333727","title":"Multi-strategy tracking based text detection in scene videos","display_name":"Multi-strategy tracking based text detection in scene videos","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2159072271","doi":"https://doi.org/10.1109/icdar.2015.7333727","mag":"2159072271"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2015.7333727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2015.7333727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 13th International Conference on Document Analysis and Recognition (ICDAR)","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/A5017450226","display_name":"Ze-Yu Zuo","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ze-Yu Zuo","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012986058","display_name":"Shu Tian","orcid":"https://orcid.org/0000-0002-4910-6071"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Tian","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070967152","display_name":"Wei-Yi Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-yi Pei","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074514262","display_name":"Xu-Cheng Yin","orcid":"https://orcid.org/0000-0003-0023-0220"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu-Cheng Yin","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017450226"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":2.7614,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.93735553,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"70"},"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":0.9966999888420105,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9958999752998352,"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":0.8574082851409912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6869773864746094},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6240156292915344},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5402213931083679},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5395777225494385},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5269080996513367},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5171496272087097},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5141689777374268},{"id":"https://openalex.org/keywords/text-detection","display_name":"Text detection","score":0.5045825242996216},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.49103236198425293},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4654926061630249},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4343321919441223},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.41404783725738525},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41141706705093384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35488295555114746},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24916738271713257},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1622169315814972}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8574082851409912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6869773864746094},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6240156292915344},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5402213931083679},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5395777225494385},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5269080996513367},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5171496272087097},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5141689777374268},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.5045825242996216},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.49103236198425293},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4654926061630249},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4343321919441223},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.41404783725738525},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41141706705093384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35488295555114746},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24916738271713257},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1622169315814972},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdar.2015.7333727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2015.7333727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 13th International Conference on Document Analysis and Recognition (ICDAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1576610402","https://openalex.org/W1649469042","https://openalex.org/W1963511193","https://openalex.org/W1964797636","https://openalex.org/W1986965125","https://openalex.org/W1987657084","https://openalex.org/W1995052126","https://openalex.org/W1998384060","https://openalex.org/W2014411734","https://openalex.org/W2029263174","https://openalex.org/W2060560731","https://openalex.org/W2083442372","https://openalex.org/W2107996860","https://openalex.org/W2114449851","https://openalex.org/W2117586922","https://openalex.org/W2118345389","https://openalex.org/W2131605657","https://openalex.org/W2137969867","https://openalex.org/W2139435234","https://openalex.org/W2146620674","https://openalex.org/W2148214126","https://openalex.org/W2149032327","https://openalex.org/W2159374016","https://openalex.org/W2163876554","https://openalex.org/W2165569569","https://openalex.org/W2543194056","https://openalex.org/W6637041998","https://openalex.org/W6682286075"],"related_works":["https://openalex.org/W2172197285","https://openalex.org/W2991048842","https://openalex.org/W2750280393","https://openalex.org/W2355696739","https://openalex.org/W3158001554","https://openalex.org/W2771909920","https://openalex.org/W2957704286","https://openalex.org/W2028936041","https://openalex.org/W2179141964","https://openalex.org/W2965594636"],"abstract_inverted_index":{"Text":[0],"detection":[1,34,46],"and":[2,14,19,75,85,88,117,140,146],"tracking":[3,31,63,69,105,115],"in":[4,36,55],"scene":[5,37,44,131],"videos":[6,132],"are":[7],"important":[8],"prerequisites":[9],"for":[10],"content-based":[11],"video":[12,57],"analysis":[13],"retrieval,":[15],"wearable":[16],"camera":[17],"systems":[18],"mobile":[20],"devices":[21],"augmented":[22],"reality":[23],"translators.":[24],"Here,":[25],"we":[26],"present":[27],"a":[28,42,60,100,128],"novel":[29],"multi-strategy":[30,61,104],"based":[32],"text":[33,45,54,62,82,93],"approach":[35,137],"videos.":[38],"In":[39],"this":[40],"approach,":[41],"state-of-the-art":[43],"module":[47],"[1]":[48],"is":[49,65,138],"first":[50],"used":[51],"to":[52,78,121,142],"detect":[53],"each":[56],"frame.":[58],"Then":[59],"technique":[64,106],"proposed,":[66],"which":[67],"uses":[68],"by":[70],"detection,":[71],"spatio-temporal":[72],"context":[73],"learning,":[74],"linear":[76],"prediction":[77],"predict":[79],"the":[80,90,96,109,112,122,148],"candidate":[81,97],"location":[83],"sequentially,":[84],"adaptively":[86],"integrates":[87],"selects":[89],"best":[91],"matching":[92],"block":[94],"from":[95],"blocks":[98],"with":[99],"rule-based":[101],"method.":[102],"This":[103],"can":[107],"combine":[108],"advantages":[110],"of":[111,124,130,150],"three":[113],"different":[114],"techniques":[116],"afterwards":[118],"make":[119],"remedies":[120],"disadvantages":[123],"them.":[125],"Experiments":[126],"on":[127],"variety":[129],"show":[133],"that":[134],"our":[135],"proposed":[136],"effective":[139],"robust":[141],"reduce":[143],"false":[144],"alarm":[145],"improve":[147],"accuracy":[149],"detection.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}