{"id":"https://openalex.org/W2178348998","doi":"https://doi.org/10.1007/s00138-016-0768-4","title":"Collecting and annotating the large continuous action dataset","display_name":"Collecting and annotating the large continuous action dataset","publication_year":2016,"publication_date":"2016-05-21","ids":{"openalex":"https://openalex.org/W2178348998","doi":"https://doi.org/10.1007/s00138-016-0768-4","mag":"2178348998"},"language":"en","primary_location":{"id":"doi:10.1007/s00138-016-0768-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-016-0768-4","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs00138-016-0768-4.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs00138-016-0768-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004899409","display_name":"Daniel Paul Barrett","orcid":"https://orcid.org/0000-0002-9318-0594"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel Paul Barrett","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","School of Electrical and Computer Engineering, Purdue University, West Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056643573","display_name":"Ran Xu","orcid":"https://orcid.org/0000-0003-2913-9420"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]},{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ran Xu","raw_affiliation_strings":["Computer Science and Engineering, SUNY Buffalo, Buffalo, NY, USA","Computer Science and Engineering, SUNY Buffalo, Buffalo, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, SUNY Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]},{"raw_affiliation_string":"Computer Science and Engineering, SUNY Buffalo, Buffalo, USA","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009585935","display_name":"Haonan Yu","orcid":"https://orcid.org/0000-0001-9882-4929"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haonan Yu","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","School of Electrical and Computer Engineering, Purdue University, West Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079140683","display_name":"Jeffrey Mark Siskind","orcid":"https://orcid.org/0000-0002-0105-6503"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Mark Siskind","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","School of Electrical and Computer Engineering, Purdue University, West Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004899409"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":0.167,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52983922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":"7","first_page":"983","last_page":"995"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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":0.9962000250816345,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9937999844551086,"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/computer-science","display_name":"Computer science","score":0.7853429913520813},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.7602920532226562},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.7177489399909973},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6850542426109314},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6847829818725586},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6038619875907898},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5074507594108582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4993407726287842},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.43033039569854736},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4298355281352997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3652198612689972},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07146766781806946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05662849545478821},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.04971003532409668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853429913520813},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.7602920532226562},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7177489399909973},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6850542426109314},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6847829818725586},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6038619875907898},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5074507594108582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4993407726287842},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.43033039569854736},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4298355281352997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3652198612689972},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07146766781806946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05662849545478821},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.04971003532409668},{"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},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00138-016-0768-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-016-0768-4","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs00138-016-0768-4.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00138-016-0768-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-016-0768-4","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs00138-016-0768-4.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2289785972","display_name":null,"funder_award_id":"1522954-IIS","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2178348998.pdf","grobid_xml":"https://content.openalex.org/works/W2178348998.grobid-xml"},"referenced_works_count":91,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W146597194","https://openalex.org/W411141150","https://openalex.org/W581538746","https://openalex.org/W1489737693","https://openalex.org/W1498368596","https://openalex.org/W1505486987","https://openalex.org/W1522734439","https://openalex.org/W1534763723","https://openalex.org/W1601567445","https://openalex.org/W1606858007","https://openalex.org/W1755205674","https://openalex.org/W1910567995","https://openalex.org/W1923404803","https://openalex.org/W1950136256","https://openalex.org/W1960987673","https://openalex.org/W1970732218","https://openalex.org/W1976965931","https://openalex.org/W1981781955","https://openalex.org/W1993850091","https://openalex.org/W1995820507","https://openalex.org/W1998605630","https://openalex.org/W1999192586","https://openalex.org/W2000590230","https://openalex.org/W2002906034","https://openalex.org/W2010399676","https://openalex.org/W2012592962","https://openalex.org/W2016053056","https://openalex.org/W2019725986","https://openalex.org/W2020163092","https://openalex.org/W2031489346","https://openalex.org/W2034328688","https://openalex.org/W2035434106","https://openalex.org/W2050083673","https://openalex.org/W2062903088","https://openalex.org/W2063153269","https://openalex.org/W2064675550","https://openalex.org/W2064851185","https://openalex.org/W2068611653","https://openalex.org/W2079100816","https://openalex.org/W2095661305","https://openalex.org/W2095705004","https://openalex.org/W2096691069","https://openalex.org/W2098517267","https://openalex.org/W2100916003","https://openalex.org/W2101194540","https://openalex.org/W2105101328","https://openalex.org/W2106833577","https://openalex.org/W2110933980","https://openalex.org/W2117539524","https://openalex.org/W2118527252","https://openalex.org/W2119171928","https://openalex.org/W2119232785","https://openalex.org/W2125707784","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2130843763","https://openalex.org/W2131042978","https://openalex.org/W2136800393","https://openalex.org/W2136985729","https://openalex.org/W2137981002","https://openalex.org/W2139857301","https://openalex.org/W2139893168","https://openalex.org/W2142194269","https://openalex.org/W2142258645","https://openalex.org/W2142900973","https://openalex.org/W2142996775","https://openalex.org/W2147615062","https://openalex.org/W2147625498","https://openalex.org/W2149084152","https://openalex.org/W2152239535","https://openalex.org/W2152556536","https://openalex.org/W2152984213","https://openalex.org/W2158699018","https://openalex.org/W2162451865","https://openalex.org/W2162761241","https://openalex.org/W2163292664","https://openalex.org/W2166294429","https://openalex.org/W2169852119","https://openalex.org/W2173549207","https://openalex.org/W2188036686","https://openalex.org/W2308045930","https://openalex.org/W2345308841","https://openalex.org/W2501347304","https://openalex.org/W2547599103","https://openalex.org/W2953111739","https://openalex.org/W2962835968","https://openalex.org/W2963811219","https://openalex.org/W2963882196","https://openalex.org/W3141200356","https://openalex.org/W4249279051"],"related_works":["https://openalex.org/W4254851101","https://openalex.org/W3171007296","https://openalex.org/W22115721","https://openalex.org/W2211931904","https://openalex.org/W2321234655","https://openalex.org/W2065444835","https://openalex.org/W2470062578","https://openalex.org/W2952773340","https://openalex.org/W2981861370","https://openalex.org/W193124247"],"abstract_inverted_index":{"We":[0,67],"make":[1],"available":[2],"to":[3,9,64,71,115,125,150],"the":[4,52,73,127,133,137,143,146,152,156],"community":[5],"a":[6,87,112],"new":[7],"dataset":[8,15,114],"support":[10],"action":[11,38,65,79,119],"recognition":[12,120],"research.":[13,121],"This":[14,106,122],"is":[16,26],"different":[17],"from":[18],"prior":[19],"datasets":[20],"in":[21,43,51,118],"several":[22],"key":[23],"ways.":[24],"It":[25,29],"significantly":[27],"larger.":[28],"contains":[30],"streaming":[31],"video":[32],"with":[33,82],"long":[34],"segments":[35],"containing":[36],"multiple":[37],"occurrences":[39,80],"that":[40,58,97,108],"often":[41],"overlap":[42],"space":[44],"and/or":[45],"time.":[46],"All":[47],"actions":[48],"were":[49],"filmed":[50],"same":[53],"collection":[54],"of":[55,75,78,91,132,158],"backgrounds":[56],"so":[57],"background":[59],"gives":[60],"little":[61],"clue":[62],"as":[63],"class.":[66],"had":[68],"five":[69],"humans":[70],"replicate":[72],"annotation":[74],"temporal":[76],"extent":[77],"labeled":[81],"their":[83],"classes":[84],"and":[85,130,154],"measured":[86],"surprisingly":[88],"low":[89],"level":[90],"intercoder":[92],"agreement.":[93],"Baseline":[94],"experiments":[95],"show":[96],"recent":[98],"state-of-the-art":[99],"methods":[100,148],"perform":[101],"poorly":[102],"on":[103],"this":[104,109],"dataset.":[105],"suggests":[107],"will":[110],"be":[111],"challenging":[113],"foster":[116],"advances":[117],"manuscript":[123],"serves":[124],"describe":[126],"novel":[128,147],"content":[129],"characteristics":[131],"LCA":[134],"dataset,":[135,144,153],"present":[136,155],"design":[138],"decisions":[139],"made":[140],"when":[141],"filming":[142],"document":[145],"employed":[149],"annotate":[151],"results":[157],"our":[159],"baseline":[160],"experiments.":[161]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}