{"id":"https://openalex.org/W3160021500","doi":"https://doi.org/10.1109/icpr48806.2021.9412363","title":"Learning dictionaries of kinematic primitives for action classification","display_name":"Learning dictionaries of kinematic primitives for action classification","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3160021500","doi":"https://doi.org/10.1109/icpr48806.2021.9412363","mag":"3160021500"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5010358571","display_name":"Alessia Vignolo","orcid":"https://orcid.org/0000-0002-9594-5159"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessia Vignolo","raw_affiliation_strings":["CONTACT Unit, Istituto Italiano di Tecnologia, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CONTACT Unit, Istituto Italiano di Tecnologia, Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070475631","display_name":"Nicoletta Noceti","orcid":"https://orcid.org/0000-0002-6482-4768"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicoletta Noceti","raw_affiliation_strings":["MaLGa Center - DIBRIS - Universit\u00e0 di Genova, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MaLGa Center - DIBRIS - Universit\u00e0 di Genova, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019426146","display_name":"Alessandra Sciutti","orcid":"https://orcid.org/0000-0002-1056-3398"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandra Sciutti","raw_affiliation_strings":["CONTACT Unit, Istituto Italiano di Tecnologia, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CONTACT Unit, Istituto Italiano di Tecnologia, Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032083229","display_name":"Francesca Odone","orcid":"https://orcid.org/0000-0002-3463-2263"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Odone","raw_affiliation_strings":["MaLGa Center - DIBRIS - Universit\u00e0 di Genova, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MaLGa Center - DIBRIS - Universit\u00e0 di Genova, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002153617","display_name":"Giulio Sandini","orcid":"https://orcid.org/0000-0003-3324-985X"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulio Sandini","raw_affiliation_strings":["RBCS Unit, Istituto Italiano di Tecnologia, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RBCS Unit, Istituto Italiano di Tecnologia, Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1941,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.47112143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5965","last_page":"5972"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T12290","display_name":"Human Motion and Animation","score":0.9962000250816345,"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":0.7327922582626343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7050989866256714},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.6653109788894653},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.611037015914917},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5540633201599121},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5150913596153259},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5024642944335938},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4809267222881317},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.44551846385002136},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4447762668132782},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4416581988334656},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.43761298060417175},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.43137529492378235},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4311724901199341},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.42993485927581787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41608768701553345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3838711380958557},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.33679869771003723},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22453466057777405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16552403569221497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7327922582626343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7050989866256714},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6653109788894653},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.611037015914917},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5540633201599121},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5150913596153259},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5024642944335938},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4809267222881317},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.44551846385002136},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4447762668132782},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4416581988334656},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.43761298060417175},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.43137529492378235},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4311724901199341},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.42993485927581787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41608768701553345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3838711380958557},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.33679869771003723},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22453466057777405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16552403569221497},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/1070920","is_oa":false,"landing_page_url":"http://hdl.handle.net/11567/1070920","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6200000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W801532934","https://openalex.org/W1517802146","https://openalex.org/W1560399830","https://openalex.org/W1625255723","https://openalex.org/W1755205674","https://openalex.org/W1977995219","https://openalex.org/W1982056937","https://openalex.org/W2032277247","https://openalex.org/W2060914855","https://openalex.org/W2063182199","https://openalex.org/W2065308200","https://openalex.org/W2097018403","https://openalex.org/W2105777811","https://openalex.org/W2106996050","https://openalex.org/W2139019684","https://openalex.org/W2155339399","https://openalex.org/W2156696778","https://openalex.org/W2166474444","https://openalex.org/W2404964740","https://openalex.org/W2519080876","https://openalex.org/W2568289644","https://openalex.org/W2622819500","https://openalex.org/W2736191430","https://openalex.org/W2737327755","https://openalex.org/W2900065947","https://openalex.org/W2917819557","https://openalex.org/W2959050216","https://openalex.org/W2997936244","https://openalex.org/W3022532439","https://openalex.org/W6636494156","https://openalex.org/W6674642818","https://openalex.org/W6727074247","https://openalex.org/W6756368837"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W2909957174","https://openalex.org/W136674370","https://openalex.org/W4246278799","https://openalex.org/W2105527480","https://openalex.org/W2052387497","https://openalex.org/W2050203848","https://openalex.org/W2050191802"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,24,30,65,88,111,152,155],"method":[4,128,147],"based":[5],"on":[6,43,84],"visual":[7],"motion":[8,79,95,120],"primitives":[9,28,121],"to":[10,60,131,134,158],"address":[11],"the":[12,37,44,52,77,85,105,119,127,146],"problem":[13],"of":[14,26,32,40,46,68,76,90,98,154],"action":[15,42,115,143,159],"understanding.":[16],"The":[17,55,73,101],"approach":[18,157],"builds":[19],"in":[20,114,164],"an":[21,41],"unsupervised":[22],"way":[23],"dictionary":[25,56],"kinematic":[27],"from":[29,51],"set":[31],"sub-movements":[33],"obtained":[34],"by":[35],"segmenting":[36],"velocity":[38],"profile":[39],"basis":[45],"local":[47],"minima":[48],"derived":[49],"directly":[50],"optical":[53],"flow.":[54],"is":[57,81,129],"then":[58],"used":[59],"describe":[61],"each":[62],"sub-movement":[63],"as":[64,151],"linear":[66],"combination":[67],"atoms":[69],"using":[70],"sparse":[71],"coding.":[72],"descriptive":[74],"capability":[75],"proposed":[78],"representation":[80],"experimentally":[82],"validated":[83],"MoCA":[86],"dataset,":[87],"collection":[89],"synchronized":[91],"multi-view":[92],"videos":[93],"and":[94,138],"capture":[96],"data":[97],"cooking":[99],"activities.":[100],"results":[102],"show":[103],"that":[104],"approach,":[106],"despite":[107],"its":[108],"simplicity,":[109],"has":[110],"good":[112],"performance":[113],"classification,":[116],"especially":[117],"when":[118],"are":[122],"combined":[123],"over":[124],"time.":[125],"Also,":[126],"proved":[130],"be":[132,149],"tolerant":[133],"view":[135],"point":[136],"changes,":[137],"can":[139],"thus":[140],"support":[141],"cross-view":[142],"recognition.":[144],"Overall,":[145],"may":[148],"seen":[150],"backbone":[153],"general":[156],"understanding,":[160],"with":[161],"potential":[162],"applications":[163],"robotics.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}