{"id":"https://openalex.org/W2603270024","doi":"https://doi.org/10.1109/icce.2017.7889310","title":"Semi-automatic player detection for real-time broadcasting systems","display_name":"Semi-automatic player detection for real-time broadcasting systems","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2603270024","doi":"https://doi.org/10.1109/icce.2017.7889310","mag":"2603270024"},"language":"en","primary_location":{"id":"doi:10.1109/icce.2017.7889310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2017.7889310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Consumer Electronics (ICCE)","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/A5103203864","display_name":"Min-Sung Kang","orcid":"https://orcid.org/0000-0002-8459-5843"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"M. S. Kang","raw_affiliation_strings":["DGIST, Daegu, Korea"],"affiliations":[{"raw_affiliation_string":"DGIST, Daegu, Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006242501","display_name":"J. W. Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. W. Lee","raw_affiliation_strings":["JMON, Daegu, Korea"],"affiliations":[{"raw_affiliation_string":"JMON, Daegu, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036843984","display_name":"Sangcheol Kang","orcid":"https://orcid.org/0000-0002-5691-5926"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. J. Kang","raw_affiliation_strings":["JMON, Daegu, Korea"],"affiliations":[{"raw_affiliation_string":"JMON, Daegu, Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103594183","display_name":"Y.-C. Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Y. C. Lim","raw_affiliation_strings":["DGIST, Daegu, Korea"],"affiliations":[{"raw_affiliation_string":"DGIST, Daegu, Korea","institution_ids":["https://openalex.org/I193352282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103203864"],"corresponding_institution_ids":["https://openalex.org/I193352282"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0258921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"262","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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":0.9972000122070312,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8164771795272827},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.724829912185669},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6850622892379761},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6498034596443176},{"id":"https://openalex.org/keywords/broadcasting","display_name":"Broadcasting (networking)","score":0.6407421231269836},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6058805584907532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5497770309448242},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.46155285835266113},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.46090731024742126},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.44952383637428284},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.44521763920783997},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41805803775787354},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4085954427719116},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3816864788532257},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.27967017889022827},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16421860456466675},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11886918544769287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.10735532641410828},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10435229539871216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8164771795272827},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.724829912185669},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6850622892379761},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6498034596443176},{"id":"https://openalex.org/C110157686","wikidata":"https://www.wikidata.org/wiki/Q922122","display_name":"Broadcasting (networking)","level":2,"score":0.6407421231269836},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6058805584907532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5497770309448242},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.46155285835266113},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.46090731024742126},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.44952383637428284},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.44521763920783997},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41805803775787354},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4085954427719116},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3816864788532257},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.27967017889022827},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16421860456466675},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11886918544769287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.10735532641410828},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10435229539871216},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce.2017.7889310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2017.7889310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Consumer Electronics (ICCE)","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":8,"referenced_works":["https://openalex.org/W2038053759","https://openalex.org/W2089515781","https://openalex.org/W2113929305","https://openalex.org/W2125556102","https://openalex.org/W2161969291","https://openalex.org/W2497039038","https://openalex.org/W6672617133","https://openalex.org/W6723816956"],"related_works":["https://openalex.org/W2802018156","https://openalex.org/W2101531944","https://openalex.org/W4313315626","https://openalex.org/W2922437833","https://openalex.org/W4223892596","https://openalex.org/W4312696271","https://openalex.org/W2933098581","https://openalex.org/W2556125083","https://openalex.org/W2965594636","https://openalex.org/W2349354464"],"abstract_inverted_index":{"Computer":[0],"vision":[1],"technology":[2,18],"such":[3],"as":[4],"object":[5],"detection":[6,91],"and":[7,23,88,119],"tracking":[8],"has":[9],"been":[10],"widely":[11],"applied":[12],"to":[13,35,56,100,105],"sports":[14,26,86],"video":[15,37],"analysis.":[16],"This":[17],"analyzes":[19],"the":[20,57,64,85,95,101,109],"physical":[21],"activity":[22],"performance":[24],"of":[25,52,59,75,97,115],"players.":[27],"With":[28],"this":[29,44],"technology,":[30],"it":[31],"is":[32],"also":[33],"necessary":[34],"perform":[36],"analysis":[38],"immediately":[39],"after":[40],"important":[41,61],"events.":[42],"In":[43,66],"paper,":[45],"we":[46],"focus":[47],"on":[48],"cutting":[49],"out":[50],"regions":[51,114],"full-screen":[53],"images":[54],"according":[55],"movement":[58],"an":[60,69],"player":[62,82],"in":[63,84],"image.":[65],"our":[67,89,106],"system,":[68],"operator":[70],"only":[71],"assists":[72],"by":[73],"means":[74],"a":[76,80],"simple":[77],"input":[78],"for":[79],"key":[81,102],"position":[83],"game":[87],"semi-automatic":[90],"scheme":[92],"accurately":[93,118],"estimates":[94],"region":[96],"interest":[98,116],"related":[99],"player.":[103],"According":[104],"experimental":[107],"results,":[108],"proposed":[110],"method":[111],"can":[112],"extract":[113],"more":[117],"rapidly":[120],"than":[121],"conventional":[122],"pedestrian":[123],"detectors.":[124]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}