{"id":"https://openalex.org/W2891505129","doi":"https://doi.org/10.1109/icra.2018.8460516","title":"A Hierarchical Model for Action Recognition Based on Body Parts","display_name":"A Hierarchical Model for Action Recognition Based on Body Parts","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2891505129","doi":"https://doi.org/10.1109/icra.2018.8460516","mag":"2891505129"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2018.8460516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8460516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003260829","display_name":"Zhanpeng Shao","orcid":"https://orcid.org/0000-0002-8130-5230"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanpeng Shao","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642147","display_name":"Youfu Li","orcid":"https://orcid.org/0000-0002-5227-1326"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Youfu Li","raw_affiliation_strings":["Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018695663","display_name":"Yao Guo","orcid":"https://orcid.org/0000-0001-8041-1245"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yao Guo","raw_affiliation_strings":["Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007776175","display_name":"Jianyu Yang","orcid":"https://orcid.org/0000-0002-0208-221X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyu Yang","raw_affiliation_strings":["School of Urban Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Urban Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100395198","display_name":"Zhenhua Wang","orcid":"https://orcid.org/0000-0001-5473-1499"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Wang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1978","last_page":"1985"},"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/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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.8255571722984314},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6884242296218872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6880909204483032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5848793387413025},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.5711464881896973},{"id":"https://openalex.org/keywords/hierarchical-organization","display_name":"Hierarchical organization","score":0.5230653882026672},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4660550057888031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4516358971595764},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4420495629310608},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.43092525005340576},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.418062686920166},{"id":"https://openalex.org/keywords/hierarchical-control-system","display_name":"Hierarchical control system","score":0.41333192586898804},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2580779492855072},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.12432509660720825}],"concepts":[{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.8255571722984314},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6884242296218872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6880909204483032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5848793387413025},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.5711464881896973},{"id":"https://openalex.org/C2780217385","wikidata":"https://www.wikidata.org/wiki/Q2389284","display_name":"Hierarchical organization","level":2,"score":0.5230653882026672},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4660550057888031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4516358971595764},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4420495629310608},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.43092525005340576},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.418062686920166},{"id":"https://openalex.org/C124527596","wikidata":"https://www.wikidata.org/wiki/Q17029359","display_name":"Hierarchical control system","level":3,"score":0.41333192586898804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2580779492855072},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.12432509660720825},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2018.8460516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8460516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1542199798","https://openalex.org/W1606858007","https://openalex.org/W1893516992","https://openalex.org/W1895914852","https://openalex.org/W2008765809","https://openalex.org/W2008824967","https://openalex.org/W2031334527","https://openalex.org/W2048821851","https://openalex.org/W2054110507","https://openalex.org/W2085735683","https://openalex.org/W2086663212","https://openalex.org/W2091911422","https://openalex.org/W2110819057","https://openalex.org/W2120852116","https://openalex.org/W2143004591","https://openalex.org/W2144380653","https://openalex.org/W2145546283","https://openalex.org/W2147526465","https://openalex.org/W2149645715","https://openalex.org/W2162415752","https://openalex.org/W2172156083","https://openalex.org/W2176429381","https://openalex.org/W2184544926","https://openalex.org/W2217325140","https://openalex.org/W2293818142","https://openalex.org/W2344034899","https://openalex.org/W2442651457","https://openalex.org/W2467730917","https://openalex.org/W2510185399","https://openalex.org/W4300615559","https://openalex.org/W6636412649","https://openalex.org/W6639400878","https://openalex.org/W6639503720","https://openalex.org/W6682280825","https://openalex.org/W6683910342","https://openalex.org/W6697135844","https://openalex.org/W6704310024","https://openalex.org/W6720215385","https://openalex.org/W6725062358"],"related_works":["https://openalex.org/W2615268635","https://openalex.org/W2077012825","https://openalex.org/W2500657027","https://openalex.org/W4206392734","https://openalex.org/W1985367162","https://openalex.org/W2996014667","https://openalex.org/W4223969286","https://openalex.org/W4206127979","https://openalex.org/W3037213697","https://openalex.org/W3112648027"],"abstract_inverted_index":{"As":[0],"increasing":[1],"attention":[2],"is":[3,172],"paid":[4],"on":[5,15,146,165],"human":[6,32,35,45,76],"action":[7],"recognition":[8],"from":[9],"skeleton":[10,77],"data,":[11],"this":[12],"paper":[13],"focuses":[14],"such":[16,88,139],"tasks":[17],"by":[18,107],"proposing":[19],"a":[20,49,59,79,95],"hierarchical":[21,50,96,104,112,120,125],"model":[22,51,121],"to":[23,52,128,162],"discover":[24],"the":[25,44,75,111,119,123,136,151],"structure":[26,137],"information":[27],"of":[28,40,43,65,67,81,83,90,110,132,138,141,153,168],"body-parts":[29,42,56,68,82,133],"involved":[30],"in":[31],"actions.":[33],"Considering":[34],"actions":[36],"as":[37],"simultaneous":[38],"motions":[39],"different":[41,70,166],"skeleton,":[46],"we":[47,73,92],"propose":[48],"simultaneously":[53],"apply":[54,129],"discriminative":[55],"selection":[57,131],"at":[58,69],"same":[60],"scale":[61],"and":[62,99,134],"group":[63],"coupling":[64],"bundles":[66],"scales,":[71],"while":[72],"decompose":[74],"into":[78,118],"hierarchy":[80,89,140],"varying":[84],"scales.":[85],"To":[86],"represent":[87],"body-parts,":[91],"accordingly":[93],"build":[94],"RRV":[97,113],"(Rotation":[98],"Relative":[100],"Velocity)":[101],"descriptors.":[102],"The":[103,143],"representations":[105],"encoded":[106],"Fisher":[108],"vectors":[109],"descriptors":[114],"are":[115],"properly":[116],"formulated":[117],"via":[122],"proposed":[124,155],"mixed":[126],"norm,":[127],"sparse":[130],"regularize":[135],"body-parts.":[142],"extensive":[144],"evaluations":[145],"three":[147],"challenging":[148],"datasets":[149],"demonstrate":[150],"effectiveness":[152],"our":[154],"approach,":[156],"which":[157],"achieves":[158],"superior":[159],"performance":[160],"compared":[161],"state-of-the-art":[163],"results":[164],"sizes":[167],"datasets,":[169],"showing":[170],"it":[171],"more":[173],"widely":[174],"applicable":[175],"than":[176],"existing":[177],"approaches.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}