{"id":"https://openalex.org/W2940049954","doi":"https://doi.org/10.1109/fskd.2018.8686917","title":"Position Detection for Badminton Tactical Analysis based on Multi-person Pose Estimation","display_name":"Position Detection for Badminton Tactical Analysis based on Multi-person Pose Estimation","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2940049954","doi":"https://doi.org/10.1109/fskd.2018.8686917","mag":"2940049954"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2018.8686917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2018.8686917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5102884708","display_name":"Ya Su","orcid":"https://orcid.org/0000-0001-9136-6726"},"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":"Ya Su","raw_affiliation_strings":["University of Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100462338","display_name":"Zhe Liu","orcid":"https://orcid.org/0000-0001-6753-0303"},"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":"Zhe Liu","raw_affiliation_strings":["University of Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102884708"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.49640209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"379","last_page":"383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T11439","display_name":"Video Analysis and Summarization","score":0.993399977684021,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6812063455581665},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6685048341751099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6189405918121338},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6068088412284851},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5028225779533386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49321335554122925},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4672653079032898},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4653628170490265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3311488926410675},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17054659128189087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6812063455581665},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6685048341751099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6189405918121338},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6068088412284851},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5028225779533386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49321335554122925},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4672653079032898},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4653628170490265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3311488926410675},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17054659128189087},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2018.8686917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2018.8686917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W191727142","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1991626241","https://openalex.org/W2007352603","https://openalex.org/W2013640163","https://openalex.org/W2027282799","https://openalex.org/W2048946501","https://openalex.org/W2080873731","https://openalex.org/W2084106378","https://openalex.org/W2097151019","https://openalex.org/W2109600199","https://openalex.org/W2113325037","https://openalex.org/W2135533529","https://openalex.org/W2136391815","https://openalex.org/W2168287108","https://openalex.org/W2175012183","https://openalex.org/W2382036597","https://openalex.org/W2554082199","https://openalex.org/W2736407210","https://openalex.org/W2964185410","https://openalex.org/W2964304707","https://openalex.org/W6639102338","https://openalex.org/W6662670073","https://openalex.org/W6676174016","https://openalex.org/W6680285999","https://openalex.org/W6709775842","https://openalex.org/W6729953642","https://openalex.org/W6747102978"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W4387967917","https://openalex.org/W4386925306","https://openalex.org/W4387968151","https://openalex.org/W3132124459","https://openalex.org/W2946083937","https://openalex.org/W2894986065","https://openalex.org/W4299867837","https://openalex.org/W3110557940"],"abstract_inverted_index":{"In":[0],"the":[1,4,7,36,44,63,71,77,84],"badminton":[2,29,79],"game,":[3],"identification":[5],"of":[6,48,65,73],"players":[8],"position":[9],"plays":[10],"an":[11],"important":[12],"role":[13],"in":[14,28,94],"tactical":[15,26],"analysis.":[16],"This":[17,50],"paper":[18],"proposes":[19],"to":[20,42],"automaticly":[21],"extract":[22],"player":[23,67],"positions":[24,64,72],"for":[25],"analysis":[27],"videos":[30],"using":[31,56],"computer":[32],"vision":[33],"techniques.":[34,61],"Particularly,":[35],"pose":[37],"estimation":[38],"problem":[39,51],"was":[40],"formulated":[41],"obtain":[43],"accurate":[45],"body":[46],"parts":[47],"players.":[49],"can":[52],"be":[53],"solved":[54],"by":[55],"deep":[57],"learning":[58],"and":[59,76,100,105,107,109],"graph-based":[60],"Then,":[62],"a":[66],"are":[68],"calculated":[69],"through":[70],"both":[74],"feet":[75],"nine-cell":[78],"court.":[80],"Experimental":[81],"evaluation":[82],"on":[83],"self-constructed":[85],"database":[86],"illustrates":[87],"that,":[88],"proposed":[89],"method":[90],"obtains":[91],"satisfied":[92],"performance":[93],"most":[95],"situations,":[96],"such":[97],"as":[98],"near":[99],"far":[101],"court,":[102],"International":[103],"competition":[104],"training,":[106],"male":[108],"female.":[110]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}