{"id":"https://openalex.org/W2976516052","doi":"https://doi.org/10.1145/3351917.3351970","title":"Automatic Basketball Detection in Sport Video Based on R-FCN and Soft-NMS","display_name":"Automatic Basketball Detection in Sport Video Based on R-FCN and Soft-NMS","publication_year":2019,"publication_date":"2019-07-19","ids":{"openalex":"https://openalex.org/W2976516052","doi":"https://doi.org/10.1145/3351917.3351970","mag":"2976516052"},"language":"en","primary_location":{"id":"doi:10.1145/3351917.3351970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3351917.3351970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering","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/A5064773330","display_name":"Qiaokang Liang","orcid":"https://orcid.org/0000-0002-5504-9966"},"institutions":[{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiaokang Liang","raw_affiliation_strings":["Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing; National Engineering Laboratory for Robot Vision Perception and Control; Hunan University, Changsha, China","Hunan University, Changsha, China","National Engineering Laboratory for Robot Vision Perception and Control"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing; National Engineering Laboratory for Robot Vision Perception and Control; Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210144102","https://openalex.org/I16609230"]},{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"National Engineering Laboratory for Robot Vision Perception and Control","institution_ids":["https://openalex.org/I4210144102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331912","display_name":"Mei Li","orcid":"https://orcid.org/0000-0002-5814-6091"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Mei","raw_affiliation_strings":["Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing; National Engineering Laboratory for Robot Vision Perception and Control; Hunan University, Changsha, China","National Engineering Laboratory for Robot Vision Perception and Control","Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing; National Engineering Laboratory for Robot Vision Perception and Control; Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210144102","https://openalex.org/I16609230"]},{"raw_affiliation_string":"National Engineering Laboratory for Robot Vision Perception and Control","institution_ids":["https://openalex.org/I4210144102"]},{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102005902","display_name":"Wanneng Wu","orcid":"https://orcid.org/0000-0002-1326-0974"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanneng Wu","raw_affiliation_strings":["Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing; National Engineering Laboratory for Robot Vision Perception and Control; Hunan University, Changsha, China","National Engineering Laboratory for Robot Vision Perception and Control","Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing; National Engineering Laboratory for Robot Vision Perception and Control; Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210144102","https://openalex.org/I16609230"]},{"raw_affiliation_string":"National Engineering Laboratory for Robot Vision Perception and Control","institution_ids":["https://openalex.org/I4210144102"]},{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043446785","display_name":"Wei Sun","orcid":"https://orcid.org/0000-0002-2589-2100"},"institutions":[{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Sun","raw_affiliation_strings":["Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing; National Engineering Laboratory for Robot Vision Perception and Control; Hunan University, Changsha, China","Hunan University, Changsha, China","National Engineering Laboratory for Robot Vision Perception and Control"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing; National Engineering Laboratory for Robot Vision Perception and Control; Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210144102","https://openalex.org/I16609230"]},{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"National Engineering Laboratory for Robot Vision Perception and Control","institution_ids":["https://openalex.org/I4210144102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025640070","display_name":"Yaonan Wang","orcid":"https://orcid.org/0000-0002-0519-6458"},"institutions":[{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaonan Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing; National Engineering Laboratory for Robot Vision Perception and Control; Hunan University, Changsha, China","National Engineering Laboratory for Robot Vision Perception and Control","Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing; National Engineering Laboratory for Robot Vision Perception and Control; Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210144102","https://openalex.org/I16609230"]},{"raw_affiliation_string":"National Engineering Laboratory for Robot Vision Perception and Control","institution_ids":["https://openalex.org/I4210144102"]},{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100456041","display_name":"Dan Zhang","orcid":"https://orcid.org/0000-0002-7295-4837"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dan Zhang","raw_affiliation_strings":["Department of Mechanical Engineering, York University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064773330"],"corresponding_institution_ids":["https://openalex.org/I16609230","https://openalex.org/I4210144102"],"apc_list":null,"apc_paid":null,"fwci":0.8098,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77415542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"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":0.9879000186920166,"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":0.9879000186920166,"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":0.9796000123023987,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9702000021934509,"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/basketball","display_name":"Basketball","score":0.9106176495552063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7880048155784607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7357282042503357},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6051110029220581},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5819607377052307},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.534035861492157},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5210534930229187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47280067205429077},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46086251735687256},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45956307649612427},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.45069581270217896},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4418715238571167},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.43927961587905884},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4309827983379364},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08932492136955261}],"concepts":[{"id":"https://openalex.org/C103189561","wikidata":"https://www.wikidata.org/wiki/Q5372","display_name":"Basketball","level":2,"score":0.9106176495552063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7880048155784607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7357282042503357},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6051110029220581},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5819607377052307},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.534035861492157},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5210534930229187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47280067205429077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46086251735687256},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45956307649612427},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.45069581270217896},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4418715238571167},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.43927961587905884},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4309827983379364},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08932492136955261},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3351917.3351970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3351917.3351970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering","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":30,"referenced_works":["https://openalex.org/W917674938","https://openalex.org/W1686810756","https://openalex.org/W1710075675","https://openalex.org/W1973759501","https://openalex.org/W1996811594","https://openalex.org/W1997436935","https://openalex.org/W2031489346","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2109139211","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2177258564","https://openalex.org/W2194775991","https://openalex.org/W2289862001","https://openalex.org/W2341497066","https://openalex.org/W2407521645","https://openalex.org/W2613718673","https://openalex.org/W2789946910","https://openalex.org/W2919115771","https://openalex.org/W2950094539","https://openalex.org/W2963516811","https://openalex.org/W2964121718","https://openalex.org/W4244531973","https://openalex.org/W4247924304","https://openalex.org/W6631782140","https://openalex.org/W6676297131","https://openalex.org/W6687483927","https://openalex.org/W6696417474","https://openalex.org/W6742650655"],"related_works":["https://openalex.org/W3196952692","https://openalex.org/W2984708981","https://openalex.org/W2755231872","https://openalex.org/W4300939921","https://openalex.org/W4383097772","https://openalex.org/W2964350391","https://openalex.org/W2274287116","https://openalex.org/W2897517148","https://openalex.org/W2983358626","https://openalex.org/W2967403871"],"abstract_inverted_index":{"In":[0,21,83],"basketball":[1,37,154,164],"videos,":[2],"the":[3,10,31,42,50,57,85,90,98,101,106,112,117,121,126,131,135,160],"ball":[4],"is":[5,16,166],"always":[6],"so":[7],"small":[8],"in":[9],"camera":[11],"that":[12,158],"its":[13],"appearance":[14],"feature":[15,133],"hard":[17],"to":[18,29,78,163],"be":[19],"extracted.":[20],"this":[22],"paper,":[23],"we":[24,34,62,141],"introduce":[25],"a":[26,143,152],"deep-learning":[27,161],"technology":[28],"detect":[30],"basketball.":[32],"Specifically,":[33],"train":[35],"our":[36],"detection":[38,81,114,127,165],"model":[39],"based":[40],"on":[41,151],"Region-based":[43],"Fully":[44],"Convolutional":[45],"Networks":[46],"(R-FCN)":[47],"which":[48],"uses":[49],"fully":[51],"convolutional":[52],"Residual":[53],"Network":[54],"(ResNet)":[55],"as":[56],"backbone":[58],"network.":[59],"What's":[60],"more,":[61],"apply":[63],"some":[64],"new":[65],"techniques":[66],"including":[67],"Online":[68],"Hard":[69],"Example":[70],"Mining":[71],"(OHEM),":[72],"Soft-NMS":[73,103],"and":[74],"multi-scale":[75,122],"training":[76,95,123],"strategy":[77],"achieve":[79,142],"higher":[80],"accuracy.":[82],"detail,":[84],"OHEM":[86],"method":[87],"can":[88,104,124],"reduce":[89,105],"cost":[91],"of":[92,100,149],"fine-tuning":[93],"during":[94],"by":[96,110,129],"calculating":[97],"loss":[99],"RoIs.":[102],"false":[107],"positive":[108],"rate":[109],"decreasing":[111],"object":[113,136],"score":[115],"between":[116],"overlap":[118],"object.":[119],"And":[120],"improve":[125],"performance":[128],"receiving":[130],"good":[132],"from":[134],"with":[137],"different":[138],"scale.":[139],"Finally,":[140],"mean":[144],"average":[145],"precision":[146],"(mAP)":[147],"value":[148],"89.7%":[150],"public":[153],"dataset.":[155],"It":[156],"proves":[157],"applying":[159],"approach":[162],"effective.":[167]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}