{"id":"https://openalex.org/W1919830987","doi":"https://doi.org/10.1109/cvprw.2015.7301323","title":"Person identification from action styles","display_name":"Person identification from action styles","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1919830987","doi":"https://doi.org/10.1109/cvprw.2015.7301323","mag":"1919830987"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2015.7301323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","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/A5040459833","display_name":"Igor Kviatkovsky","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Igor Kviatkovsky","raw_affiliation_strings":["Technion Haifa, Israel","Technion , Haifa , Israel"],"affiliations":[{"raw_affiliation_string":"Technion Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Technion , Haifa , Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085141470","display_name":"Ilan Shimshoni","orcid":"https://orcid.org/0000-0002-5276-0242"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ilan Shimshoni","raw_affiliation_strings":["University of Haifa, Haifa, Haifa, IL","The University of Haifa Haifa Israel"],"affiliations":[{"raw_affiliation_string":"University of Haifa, Haifa, Haifa, IL","institution_ids":["https://openalex.org/I91203450"]},{"raw_affiliation_string":"The University of Haifa Haifa Israel","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024009299","display_name":"Ehud Rivlin","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ehud Rivlin","raw_affiliation_strings":["Technion Haifa, Israel","Technion , Haifa , Israel"],"affiliations":[{"raw_affiliation_string":"Technion Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Technion , Haifa , Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040459833"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":1.1046,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8414291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"84","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7209451794624329},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6934924125671387},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.6794136762619019},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6268864870071411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6197236776351929},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6116253137588501},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.573087751865387},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5433209538459778},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.523637056350708},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4984476566314697},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4793696701526642},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4403397738933563},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.43813642859458923},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4223650395870209},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3270731568336487},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14723646640777588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7209451794624329},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6934924125671387},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.6794136762619019},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6268864870071411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6197236776351929},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6116253137588501},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.573087751865387},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5433209538459778},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.523637056350708},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4984476566314697},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4793696701526642},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4403397738933563},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.43813642859458923},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4223650395870209},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3270731568336487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14723646640777588},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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":1,"locations":[{"id":"doi:10.1109/cvprw.2015.7301323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W200708128","https://openalex.org/W203345490","https://openalex.org/W1506806321","https://openalex.org/W1966473676","https://openalex.org/W1995113806","https://openalex.org/W2028605775","https://openalex.org/W2048821851","https://openalex.org/W2076377039","https://openalex.org/W2086660806","https://openalex.org/W2099634219","https://openalex.org/W2119799051","https://openalex.org/W2124688298","https://openalex.org/W2125073690","https://openalex.org/W2126952237","https://openalex.org/W2127117841","https://openalex.org/W2137392095","https://openalex.org/W2138105460","https://openalex.org/W2143004591","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2144481990","https://openalex.org/W2145546283","https://openalex.org/W2149516292","https://openalex.org/W2150111138","https://openalex.org/W2157200118","https://openalex.org/W2160303236","https://openalex.org/W2167757589","https://openalex.org/W2170653751","https://openalex.org/W2171820318","https://openalex.org/W2172156083","https://openalex.org/W2533739470","https://openalex.org/W3141200356","https://openalex.org/W6608210325","https://openalex.org/W6608276133","https://openalex.org/W6678975791","https://openalex.org/W6680342200"],"related_works":["https://openalex.org/W4382795578","https://openalex.org/W2355463328","https://openalex.org/W2402648945","https://openalex.org/W1431147547","https://openalex.org/W2055761197","https://openalex.org/W2053213469","https://openalex.org/W2057608111","https://openalex.org/W2793032185","https://openalex.org/W939486154","https://openalex.org/W2163814182"],"abstract_inverted_index":{"We":[0,22,59,83],"consider":[1],"a":[2,24,35],"problem":[3],"of":[4,19,48,56,86],"identifying":[5],"people":[6],"based":[7],"on":[8,64,77],"their":[9],"styles":[10],"in":[11],"performing":[12],"actions":[13],"from":[14,101],"an":[15,96],"arbitrary":[16],"predefined":[17],"set":[18],"action":[20,29,43,68,88],"types.":[21],"present":[23],"generative":[25],"model":[26],"describing":[27],"the":[28,54,57,104],"instance":[30],"creation":[31],"process":[32],"and":[33,71,90],"derive":[34],"probabilistic":[36],"identity":[37],"inference":[38,45],"scheme,":[39],"which":[40,78],"implicitly":[41],"includes":[42],"type":[44],"as":[46],"one":[47,72],"its":[49],"components.":[50],"Our":[51],"experiments":[52],"validate":[53],"power":[55],"approach.":[58],"report":[60],"high":[61],"recognition":[62,69],"rates":[63],"four":[65],"publicly":[66],"available":[67],"datasets":[70],"dataset":[73],"for":[74],"person":[75],"authentication,":[76],"we":[79],"obtain":[80],"state-of-the-art":[81],"results.":[82,105],"make":[84],"use":[85],"existing":[87],"representations":[89],"show":[91],"that":[92],"combining":[93],"them":[94],"with":[95],"action-specific":[97],"Mahalanobis":[98],"metric,":[99],"learned":[100],"examples,":[102],"improves":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
