{"id":"https://openalex.org/W4389628763","doi":"https://doi.org/10.1109/ivcnz61134.2023.10344283","title":"Identifying Athletics Tracks using Keypoint Detection","display_name":"Identifying Athletics Tracks using Keypoint Detection","publication_year":2023,"publication_date":"2023-11-29","ids":{"openalex":"https://openalex.org/W4389628763","doi":"https://doi.org/10.1109/ivcnz61134.2023.10344283"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz61134.2023.10344283","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ivcnz61134.2023.10344283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5080946690","display_name":"Gareth Harcombe","orcid":null},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Gareth Harcombe","raw_affiliation_strings":["University of Canterbury,Department of Computer Science and Software Engineering,Christchurch,New Zealand","Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Canterbury,Department of Computer Science and Software Engineering,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730173","display_name":"Richard Green","orcid":"https://orcid.org/0000-0001-8851-7204"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Richard Green","raw_affiliation_strings":["University of Canterbury,Department of Computer Science and Software Engineering,Christchurch,New Zealand","Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Canterbury,Department of Computer Science and Software Engineering,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057081874","display_name":"Kourosh Neshatian","orcid":"https://orcid.org/0000-0003-3956-6039"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Kourosh Neshatian","raw_affiliation_strings":["University of Canterbury,Department of Computer Science and Software Engineering,Christchurch,New Zealand","Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Canterbury,Department of Computer Science and Software Engineering,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080946690"],"corresponding_institution_ids":["https://openalex.org/I185492890"],"apc_list":null,"apc_paid":null,"fwci":0.1228,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44696277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T11439","display_name":"Video Analysis and Summarization","score":0.9922000169754028,"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":0.9902999997138977,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.804653525352478},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7463275194168091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6934494376182556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6918778419494629},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6673991680145264},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5772809982299805},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5120733380317688},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5088794231414795},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4860256314277649},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43424293398857117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1625523567199707},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12402638792991638},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0764252245426178}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.804653525352478},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7463275194168091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6934494376182556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6918778419494629},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6673991680145264},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5772809982299805},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5120733380317688},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5088794231414795},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4860256314277649},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43424293398857117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1625523567199707},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12402638792991638},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0764252245426178},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz61134.2023.10344283","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ivcnz61134.2023.10344283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4399999976158142,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2109268594","https://openalex.org/W2151103935","https://openalex.org/W2194775991","https://openalex.org/W2613783066","https://openalex.org/W2766077222","https://openalex.org/W2805375573","https://openalex.org/W2806070179","https://openalex.org/W2920910758","https://openalex.org/W3081727571","https://openalex.org/W3161810785","https://openalex.org/W3178774897","https://openalex.org/W4220656645","https://openalex.org/W4298289240","https://openalex.org/W6637568146","https://openalex.org/W6752112591"],"related_works":["https://openalex.org/W3162200841","https://openalex.org/W2586280620","https://openalex.org/W2805505483","https://openalex.org/W2334071950","https://openalex.org/W2384744344","https://openalex.org/W4233932308","https://openalex.org/W1799694159","https://openalex.org/W2393169196","https://openalex.org/W2366610330","https://openalex.org/W4242143973"],"abstract_inverted_index":{"This":[0,19],"paper":[1,110],"proposes":[2],"the":[3,24,59,81],"first":[4],"known":[5],"approaches":[6],"to":[7],"locating":[8],"an":[9,28,100],"athletics":[10],"track":[11],"from":[12],"GPS":[13,25,124],"data":[14,125],"of":[15,72,83,88,102,108,123],"a":[16,40,49,66],"running":[17,127],"workout.":[18],"is":[20,78],"done":[21],"by":[22],"mapping":[23],"points":[26],"onto":[27],"image":[29],"and":[30,54,106,120],"applying":[31,55],"Computer":[32],"Vision":[33],"methods,":[34],"including:":[35],"performing":[36],"keypoint":[37,85],"detection":[38,86],"using":[39],"Keypoint":[41,62],"Region-Based":[42],"Convolutional":[43,56,97],"Neural":[44,51],"Network":[45,52],"(R-CNN)":[46],"model":[47,64],"with":[48],"Residual":[50],"backbone;":[53],"Kernels":[57],"over":[58],"image.":[60],"The":[61,96,104],"R-CNN":[63],"achieved":[65,99],"Root":[67],"Mean":[68],"Square":[69],"Error":[70],"(RMSE)":[71],"1.29":[73],"on":[74,93],"synthetic":[75],"data,":[76],"which":[77],"lower":[79],"than":[80],"error":[82,118],"other":[84],"models":[87],"2.23,":[89],"but":[90],"performed":[91],"poorly":[92],"real":[94],"data.":[95],"Method":[98],"RMSE":[101],"4.20.":[103],"methods":[105],"results":[107],"this":[109],"can":[111],"be":[112],"used":[113],"in":[114],"future":[115],"applications":[116],"for":[117,126],"correction":[119],"feature":[121],"extraction":[122],"workout":[128],"analysis.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
