{"id":"https://openalex.org/W3134354439","doi":"https://doi.org/10.1145/3448823.3448882","title":"A Fast Deep Learning Based Approach for Basketball Video Analysis","display_name":"A Fast Deep Learning Based Approach for Basketball Video Analysis","publication_year":2020,"publication_date":"2020-12-09","ids":{"openalex":"https://openalex.org/W3134354439","doi":"https://doi.org/10.1145/3448823.3448882","mag":"3134354439"},"language":"en","primary_location":{"id":"doi:10.1145/3448823.3448882","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448823.3448882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Vision, Image and Signal 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/A5016081008","display_name":"Osman Murat Teket","orcid":null},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Osman Murat Teket","raw_affiliation_strings":["TOBB University of Economics and Technology, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TOBB University of Economics and Technology, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051537993","display_name":"\u0130mam \u015eamil Yetik","orcid":"https://orcid.org/0000-0002-7330-4692"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Imam Samil Yetik","raw_affiliation_strings":["TOBB University of Economics and Technology, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TOBB University of Economics and Technology, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I13236232"],"apc_list":null,"apc_paid":null,"fwci":0.597,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76396491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9994999766349792,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9994999766349792,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.995199978351593,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8094204664230347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7731956243515015},{"id":"https://openalex.org/keywords/basketball","display_name":"Basketball","score":0.7709755897521973},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7558257579803467},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.6450605392456055},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.598214328289032},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5320013165473938},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5133056044578552},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48657214641571045},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40386369824409485},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3850921392440796},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.13520729541778564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8094204664230347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7731956243515015},{"id":"https://openalex.org/C103189561","wikidata":"https://www.wikidata.org/wiki/Q5372","display_name":"Basketball","level":2,"score":0.7709755897521973},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7558257579803467},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.6450605392456055},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.598214328289032},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5320013165473938},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5133056044578552},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48657214641571045},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40386369824409485},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3850921392440796},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.13520729541778564},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448823.3448882","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448823.3448882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Vision, Image and Signal Processing","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":13,"referenced_works":["https://openalex.org/W1996811594","https://openalex.org/W2022150717","https://openalex.org/W2056446365","https://openalex.org/W2060110790","https://openalex.org/W2089515781","https://openalex.org/W2742115705","https://openalex.org/W2796438033","https://openalex.org/W2963163009","https://openalex.org/W3005466304","https://openalex.org/W3099206234","https://openalex.org/W3177525997","https://openalex.org/W4214503263","https://openalex.org/W4242655467"],"related_works":["https://openalex.org/W2369330680","https://openalex.org/W2387007275","https://openalex.org/W2389047293","https://openalex.org/W2348951541","https://openalex.org/W2363923555","https://openalex.org/W2379277877","https://openalex.org/W2359223739","https://openalex.org/W2377467184","https://openalex.org/W2375049945","https://openalex.org/W2356570223"],"abstract_inverted_index":{"The":[0,106,138,146],"aim":[1],"of":[2,65,88,152,171],"this":[3,36],"study":[4],"is":[5,77,108],"to":[6,10,25,43,61,71,98,165],"obtain":[7],"an":[8],"algorithm":[9],"analyze":[11],"a":[12,41,57,115],"basketball":[13],"training":[14,136,144],"in":[15,94,174],"real":[16],"time.":[17],"That":[18],"is,":[19],"the":[20,27,45,63,66,73,86,89,100,104,122,150,153],"approach":[21],"should":[22],"be":[23],"able":[24],"detect":[26,44,62,72],"correct":[28],"players":[29,173],"and":[30,47,68,112,135,163],"scores":[31],"for":[32],"each":[33],"player.":[34],"For":[35],"purpose,":[37],"we":[38,55,91],"first":[39],"propose":[40],"method":[42,155],"shots":[46],"if":[48],"they":[49],"are":[50],"makes":[51],"or":[52],"misses.":[53],"Specifically,":[54],"use":[56],"deep":[58,116],"learning":[59],"model":[60],"position":[64],"hoop":[67],"background":[69],"subtraction":[70],"shot.":[74,105],"Then,":[75],"scoring":[76,161],"determined":[78],"by":[79,110,114],"another":[80],"neural":[81],"network":[82],"using":[83],"classification.":[84],"After":[85],"determination":[87],"shot,":[90],"go":[92],"back":[93],"our":[95],"buffered":[96],"images":[97],"find":[99],"player":[101,107],"who":[102],"sent":[103],"detected":[109],"YOLOv3-tiny":[111],"identified":[113],"unsupervised":[117],"reidentification":[118,170],"model.":[119],"To":[120],"keep":[121],"real-time":[123],"aim,":[124],"all":[125],"models":[126],"employ":[127],"mobile":[128],"networks":[129],"as":[130],"base":[131],"with":[132,156],"different":[133],"parameters":[134],"methods.":[137],"experiments":[139],"were":[140],"conducted":[141],"on":[142,160,169],"two":[143],"videos.":[145],"experiment":[147],"results":[148],"show":[149],"effectiveness":[151],"current":[154],"over":[157],"95%":[158],"accuracy":[159,168],"identification":[162],"up":[164],"91.4%":[166],"overall":[167],"4":[172],"real-time.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
