{"id":"https://openalex.org/W2327228472","doi":"https://doi.org/10.1109/spac.2014.6982665","title":"Integrating joint and surface for human action recognition in indoor environments","display_name":"Integrating joint and surface for human action recognition in indoor environments","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2327228472","doi":"https://doi.org/10.1109/spac.2014.6982665","mag":"2327228472"},"language":"en","primary_location":{"id":"doi:10.1109/spac.2014.6982665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2014.6982665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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/A5100700129","display_name":"Qingyang Li","orcid":"https://orcid.org/0000-0001-6650-2343"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyang Li","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019452689","display_name":"Yu Zhou","orcid":"https://orcid.org/0000-0002-6674-6484"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhou","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082092902","display_name":"Anlong Ming","orcid":"https://orcid.org/0000-0003-2952-7757"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anlong Ming","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"100","last_page":"104"},"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":0.9983000159263611,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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/discriminative-model","display_name":"Discriminative model","score":0.9241509437561035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7527830600738525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7279940843582153},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6329501867294312},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6007461547851562},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5798107981681824},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5759234428405762},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5730793476104736},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5670880675315857},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5531060099601746},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.512741208076477},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4956430196762085},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4284905195236206},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3542984426021576},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10062578320503235}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9241509437561035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7527830600738525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7279940843582153},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6329501867294312},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6007461547851562},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5798107981681824},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5759234428405762},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5730793476104736},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5670880675315857},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5531060099601746},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.512741208076477},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4956430196762085},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4284905195236206},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3542984426021576},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10062578320503235},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spac.2014.6982665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2014.6982665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W174432745","https://openalex.org/W252999969","https://openalex.org/W750914579","https://openalex.org/W1953802779","https://openalex.org/W2001881245","https://openalex.org/W2008824967","https://openalex.org/W2020163092","https://openalex.org/W2063827895","https://openalex.org/W2068915126","https://openalex.org/W2071730188","https://openalex.org/W2085367731","https://openalex.org/W2085735683","https://openalex.org/W2104093257","https://openalex.org/W2111569598","https://openalex.org/W2114712988","https://openalex.org/W2116663904","https://openalex.org/W2117082993","https://openalex.org/W2126574503","https://openalex.org/W2130072711","https://openalex.org/W2134551028","https://openalex.org/W2136997553","https://openalex.org/W2137089267","https://openalex.org/W2140897751","https://openalex.org/W2143267104","https://openalex.org/W2153635508","https://openalex.org/W2161969291","https://openalex.org/W2162409847","https://openalex.org/W2172156083","https://openalex.org/W2173046955","https://openalex.org/W2318831915","https://openalex.org/W2533739470","https://openalex.org/W2546306578","https://openalex.org/W6607032020","https://openalex.org/W6622115861","https://openalex.org/W6641080644","https://openalex.org/W6680444778","https://openalex.org/W6681270988","https://openalex.org/W6684064746","https://openalex.org/W6685520734","https://openalex.org/W6729487920"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2182357018"],"abstract_inverted_index":{"Action":[0],"recognition":[1,51],"has":[2],"a":[3,16,27],"long":[4],"research":[5],"history,":[6],"despite":[7],"several":[8],"contributed":[9],"approaches":[10],"have":[11],"been":[12],"introduced,":[13],"it":[14],"remains":[15],"challenging":[17],"task":[18,52],"in":[19],"computer":[20],"vision.":[21],"In":[22,106],"this":[23],"paper,":[24],"we":[25],"present":[26],"uniform":[28],"fusion":[29,180],"framework":[30],"for":[31,65,74],"action":[32,50,68],"recognition,":[33],"which":[34],"integrates":[35],"not":[36],"only":[37],"the":[38,44,49,56,58,63,66,72,81,85,89,92,99,103,108,111,117,122,126,132,136,143,148,151,156,166,174,184],"local":[39,86,100,145],"depth":[40,46,87,112,157],"cues":[41],"but":[42],"also":[43],"global":[45,118,153],"cues.":[47],"Firstly,":[48],"is":[53,69,95,114,163],"formulated":[54],"as":[55,116],"maximize":[57],"posterior":[59],"probability,":[60],"and":[61,150],"then":[62],"observation":[64],"original":[67,82,133],"decomposed":[70],"into":[71],"sub-observations":[73],"each":[75],"individual":[76],"feature":[77,134],"representation":[78],"strategy":[79],"of":[80,102,110,125],"action.":[83],"For":[84],"cues,":[88],"joints":[90],"inside":[91],"human":[93,104,127],"skeleton":[94],"employed":[96],"to":[97,120],"model":[98,140],"variation":[101],"motion.":[105,128],"addition,":[107],"normal":[109],"surface":[113],"utilized":[115],"cue":[119,146,154],"capture":[121],"holistic":[123],"structure":[124],"Rather":[129],"than":[130],"using":[131],"directly,":[135],"support":[137],"vector":[138],"machine":[139],"learning":[141],"both":[142],"discriminative":[144,152],"(i.e.,":[147,155],"joint)":[149],"surface),":[158],"respectively.":[159],"The":[160],"presented":[161],"approach":[162,181],"validated":[164],"on":[165],"famous":[167],"MSR":[168],"Daily":[169],"Activity":[170],"3D":[171],"Dataset.":[172],"And":[173],"experimental":[175],"results":[176],"demonstrate":[177],"that":[178],"our":[179],"can":[182],"outperform":[183],"baseline":[185],"approaches.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}