{"id":"https://openalex.org/W2980620290","doi":"https://doi.org/10.1145/3347318.3355525","title":"Frame-Level Event Detection in Athletics Videos with Pose-Based Convolutional Sequence Networks","display_name":"Frame-Level Event Detection in Athletics Videos with Pose-Based Convolutional Sequence Networks","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2980620290","doi":"https://doi.org/10.1145/3347318.3355525","mag":"2980620290"},"language":"en","primary_location":{"id":"doi:10.1145/3347318.3355525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347318.3355525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports","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/A5033753652","display_name":"Moritz Einfalt","orcid":null},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Moritz Einfalt","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038213464","display_name":"Charles Dampeyrou","orcid":"https://orcid.org/0009-0000-0332-456X"},"institutions":[{"id":"https://openalex.org/I201181511","display_name":"\u00c9cole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es","ror":"https://ror.org/0309cs235","country_code":"FR","type":"education","lineage":["https://openalex.org/I201181511","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Charles Dampeyrou","raw_affiliation_strings":["ENSTA Paris, Paris, France"],"affiliations":[{"raw_affiliation_string":"ENSTA Paris, Paris, France","institution_ids":["https://openalex.org/I201181511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035633645","display_name":"Dan Zecha","orcid":null},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dan Zecha","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009744749","display_name":"Rainer Lienhart","orcid":"https://orcid.org/0000-0003-4007-6889"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Lienhart","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033753652"],"corresponding_institution_ids":["https://openalex.org/I179225836"],"apc_list":null,"apc_paid":null,"fwci":1.822,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.88769268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9945999979972839,"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":0.9897000193595886,"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/computer-science","display_name":"Computer science","score":0.7758342623710632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7145826816558838},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6347772479057312},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5540301203727722},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5539344549179077},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5200086236000061},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46725839376449585},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4528326988220215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3943387567996979}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7758342623710632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7145826816558838},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6347772479057312},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5540301203727722},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5539344549179077},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5200086236000061},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46725839376449585},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4528326988220215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3943387567996979},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3347318.3355525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347318.3355525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports","raw_type":"proceedings-article"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:61049","is_oa":false,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/61049","pdf_url":null,"source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bookpart"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2003502007","https://openalex.org/W2011983549","https://openalex.org/W2065742895","https://openalex.org/W2107878631","https://openalex.org/W2128271252","https://openalex.org/W2154880310","https://openalex.org/W2161276358","https://openalex.org/W2194775991","https://openalex.org/W2255781698","https://openalex.org/W2307770531","https://openalex.org/W2375583958","https://openalex.org/W2407428148","https://openalex.org/W2559085405","https://openalex.org/W2565639579","https://openalex.org/W2580084284","https://openalex.org/W2585166381","https://openalex.org/W2599765304","https://openalex.org/W2613904329","https://openalex.org/W2788865504","https://openalex.org/W2792764867","https://openalex.org/W2798332963","https://openalex.org/W2798882820","https://openalex.org/W2804974364","https://openalex.org/W2884214748","https://openalex.org/W2895689136","https://openalex.org/W2896447736","https://openalex.org/W2898073144","https://openalex.org/W2913668833","https://openalex.org/W2950762923","https://openalex.org/W2952122856","https://openalex.org/W2953106684","https://openalex.org/W2962849564","https://openalex.org/W2962896489","https://openalex.org/W2963025804","https://openalex.org/W2963548793","https://openalex.org/W2963970792","https://openalex.org/W2964221239","https://openalex.org/W2964304707","https://openalex.org/W3023742835","https://openalex.org/W3098473649","https://openalex.org/W3100487604","https://openalex.org/W4212774754","https://openalex.org/W4248927948"],"related_works":["https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W2318112981","https://openalex.org/W4210874298"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"address":[4],"the":[5,23,58,62,78,81,91,111,134],"problem":[6],"of":[7,25,57,64,93,113,123,130,138,145],"automatic":[8],"event":[9,43,86,114,165],"detection":[10,24,44,87,92,166],"in":[11,18,35,45,125,167],"athlete":[12,59,140],"motion":[13,161],"for":[14,83,163],"automated":[15],"performance":[16],"analysis":[17],"athletics.":[19],"We":[20,66,89],"specifically":[21],"consider":[22],"stride-,":[26],"jump-":[27],"and":[28,37,54,101,128,136],"landing":[29],"related":[30],"events":[31,95],"from":[32,77],"monocular":[33],"recordings":[34],"long":[36],"triple":[38],"jump.":[39],"Existing":[40],"work":[41],"on":[42,52],"sports":[46],"often":[47],"uses":[48],"manually":[49],"designed":[50],"features":[51],"body":[53],"pose":[55,74,156],"configurations":[56],"to":[60],"infer":[61],"occurrence":[63],"events.":[65],"present":[67],"a":[68,97,103,121,142,159,168],"two-step":[69],"approach,":[70],"where":[71],"temporal":[72,143],"2D":[73,155],"sequences":[75,157],"extracted":[76],"videos":[79],"form":[80],"basis":[82],"learning":[84,164],"an":[85,139],"model.":[88],"formulate":[90],"discrete":[94],"as":[96],"sequence":[98,105],"translation":[99],"task":[100],"propose":[102],"convolutional":[104],"network":[106],"that":[107,154],"can":[108],"accurately":[109],"predict":[110],"timing":[112],"occurrences.":[115],"Our":[116],"best":[117],"performing":[118],"architecture":[119],"achieves":[120],"precision/recall":[122],"92.3%/89.0%":[124],"detecting":[126],"start":[127],"end":[129],"ground":[131],"contact":[132],"during":[133],"run-up":[135],"jump":[137],"at":[141,149],"precision":[144],"+/-":[146],"1":[147],"frame":[148],"200Hz.":[150],"The":[151],"results":[152],"show":[153],"are":[158],"suitable":[160],"representation":[162],"sequence-to-sequence":[169],"framework.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}