{"id":"https://openalex.org/W2889408102","doi":"https://doi.org/10.1109/iwcmc.2018.8450529","title":"Effect of Annotation on Multiple-Player-Tracking Algorithms","display_name":"Effect of Annotation on Multiple-Player-Tracking Algorithms","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2889408102","doi":"https://doi.org/10.1109/iwcmc.2018.8450529","mag":"2889408102"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2018.8450529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2018.8450529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC)","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/A5113306189","display_name":"Afnan Al-Ali","orcid":null},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Afnan Al-Ali","raw_affiliation_strings":["Department of Computer Science and Engineering, Qatar University PO Box 2713, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Qatar University PO Box 2713, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017608892","display_name":"Somaya Al-M\u00e1adeed","orcid":"https://orcid.org/0000-0002-0241-2899"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Somaya Al-maadeed","raw_affiliation_strings":["Department of Computer Science and Engineering, Qatar University PO Box 2713, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Qatar University PO Box 2713, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113306189"],"corresponding_institution_ids":["https://openalex.org/I60342839"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08967381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37 3","issue":null,"first_page":"571","last_page":"576"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9968000054359436,"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":0.9889000058174133,"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/annotation","display_name":"Annotation","score":0.7822850942611694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7541826963424683},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5627799034118652},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5384490489959717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5292543768882751},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5252047181129456},{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.4633610248565674},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45504796504974365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43952861428260803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3527054488658905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10077071189880371}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7822850942611694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541826963424683},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5627799034118652},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5384490489959717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5292543768882751},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5252047181129456},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.4633610248565674},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45504796504974365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43952861428260803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3527054488658905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10077071189880371},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iwcmc.2018.8450529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2018.8450529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/13224","is_oa":false,"landing_page_url":"http://hdl.handle.net/10576/13224","pdf_url":null,"source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W96721350","https://openalex.org/W818325216","https://openalex.org/W1915785815","https://openalex.org/W1948657956","https://openalex.org/W1950106479","https://openalex.org/W1964846093","https://openalex.org/W2031489346","https://openalex.org/W2047313939","https://openalex.org/W2067026624","https://openalex.org/W2089873510","https://openalex.org/W2089961441","https://openalex.org/W2110764733","https://openalex.org/W2154889144","https://openalex.org/W2168699539","https://openalex.org/W2546643512","https://openalex.org/W2604701225","https://openalex.org/W2621638931","https://openalex.org/W2681067697","https://openalex.org/W2964111344","https://openalex.org/W4211196262","https://openalex.org/W4234855799","https://openalex.org/W6623108133","https://openalex.org/W6640596253","https://openalex.org/W6640787864","https://openalex.org/W6736609394"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W3177346028"],"abstract_inverted_index":{"For":[0],"most":[1],"people":[2],"from":[3],"all":[4],"ages":[5],"and":[6,29,49,70,92,98,126,168],"genders,":[7],"participation":[8,17],"in":[9,18,64],"sports":[10],"becomes":[11],"part":[12],"of":[13,26,32,62,104,122,138],"their":[14,128],"life,":[15],"especially":[16],"soccer":[19,35,114,139],"matches,":[20,36],"which":[21,116,176],"are":[22,78,144],"considered":[23],"a":[24,43,113],"symbol":[25],"healthy":[27],"living":[28],"active":[30],"attitudes":[31],"families.":[33],"Analyzing":[34],"similar":[37],"to":[38,58,80,96,118],"analyzing":[39],"other":[40],"sports,":[41],"is":[42,73,132],"challenging":[44],"job":[45],"for":[46,54],"the":[47,55,59,68,100,105,110,120,123,166,183],"coaches":[48],"trainers,":[50],"as":[51,53],"well":[52],"audience,":[56],"due":[57],"fast":[60],"motion":[61],"players":[63],"some":[65],"situations":[66],"during":[67],"match":[69],"occlusions.":[71],"That":[72],"why":[74],"computer":[75],"vision":[76],"techniques":[77,125],"used":[79],"tackle":[81],"these":[82],"problems.":[83],"In":[84],"this":[85,171,179],"paper,":[86],"we":[87],"test":[88],"an":[89],"efficient,":[90],"simple":[91],"available":[93],"annotating":[94,185],"tool":[95],"label":[97],"generate":[99],"ground":[101],"truth":[102],"data":[103],"interested":[106],"targets":[107],"(players":[108],"or":[109],"ball)":[111],"on":[112,134,152,159],"field,":[115],"helps":[117],"assess":[119],"performance":[121],"tracking":[124,149,157],"achieve":[127],"goals.":[129],"This":[130],"method":[131,172,181],"tested":[133,145],"two":[135],"different":[136],"sequences":[137,161],"datasets.":[140],"The":[141,156],"annotation":[142],"results":[143,158],"by":[146,165,170],"using":[147],"four":[148],"algorithms":[150],"based":[151],"context-aware":[153],"correlation":[154],"filters.":[155],"both":[160],"that":[162,178],"were":[163,173],"annotated":[164,169],"experts":[167],"very":[174],"similar,":[175],"shows":[177],"robust":[180],"outperforms":[182],"state-of-the-art":[184],"techniques.":[186]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-09-07T00:00:00"}