{"id":"https://openalex.org/W2654538814","doi":"https://doi.org/10.3233/ais-170442","title":"Two-person interaction recognition from bilateral silhouette of key poses","display_name":"Two-person interaction recognition from bilateral silhouette of key poses","publication_year":2017,"publication_date":"2017-06-19","ids":{"openalex":"https://openalex.org/W2654538814","doi":"https://doi.org/10.3233/ais-170442","mag":"2654538814"},"language":"en","primary_location":{"id":"doi:10.3233/ais-170442","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ais-170442","pdf_url":null,"source":{"id":"https://openalex.org/S2492266406","display_name":"Journal of Ambient Intelligence and Smart Environments","issn_l":"1876-1364","issn":["1876-1364","1876-1372"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Ambient Intelligence and Smart Environments","raw_type":"journal-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/A5044383525","display_name":"Saman Nikzad","orcid":"https://orcid.org/0000-0002-2182-6827"},"institutions":[{"id":"https://openalex.org/I107853901","display_name":"Sahand University of Technology","ror":"https://ror.org/03wdrmh81","country_code":"IR","type":"education","lineage":["https://openalex.org/I107853901"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Saman Nikzad","raw_affiliation_strings":["Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz,\u00a0Iran. E-mails:\u00a0s_nikzad@sut.ac.ir,\u00a0ebrahimnezhad@sut.ac.ir"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz,\u00a0Iran. E-mails:\u00a0s_nikzad@sut.ac.ir,\u00a0ebrahimnezhad@sut.ac.ir","institution_ids":["https://openalex.org/I107853901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003840980","display_name":"Hossein Ebrahimnezhad","orcid":"https://orcid.org/0000-0003-4071-2750"},"institutions":[{"id":"https://openalex.org/I107853901","display_name":"Sahand University of Technology","ror":"https://ror.org/03wdrmh81","country_code":"IR","type":"education","lineage":["https://openalex.org/I107853901"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hossein Ebrahimnezhad","raw_affiliation_strings":["Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz,\u00a0Iran. E-mails:\u00a0s_nikzad@sut.ac.ir,\u00a0ebrahimnezhad@sut.ac.ir"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz,\u00a0Iran. E-mails:\u00a0s_nikzad@sut.ac.ir,\u00a0ebrahimnezhad@sut.ac.ir","institution_ids":["https://openalex.org/I107853901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003840980"],"corresponding_institution_ids":["https://openalex.org/I107853901"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.07634048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":"4","first_page":"483","last_page":"499"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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":0.8380887508392334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7963073253631592},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7217491269111633},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.7197623252868652},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.711485743522644},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5994812250137329},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5032176375389099},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33560535311698914},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09490582346916199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8380887508392334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7963073253631592},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7217491269111633},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.7197623252868652},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.711485743522644},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5994812250137329},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5032176375389099},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33560535311698914},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09490582346916199}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ais-170442","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ais-170442","pdf_url":null,"source":{"id":"https://openalex.org/S2492266406","display_name":"Journal of Ambient Intelligence and Smart Environments","issn_l":"1876-1364","issn":["1876-1364","1876-1372"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Ambient Intelligence and Smart Environments","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W52592340","https://openalex.org/W937401042","https://openalex.org/W1483695236","https://openalex.org/W1964168965","https://openalex.org/W1969320366","https://openalex.org/W1979545636","https://openalex.org/W1983740756","https://openalex.org/W1984669326","https://openalex.org/W1985004765","https://openalex.org/W1986912999","https://openalex.org/W1996194485","https://openalex.org/W2007307031","https://openalex.org/W2022329870","https://openalex.org/W2025508903","https://openalex.org/W2027516986","https://openalex.org/W2028613966","https://openalex.org/W2037903093","https://openalex.org/W2057175746","https://openalex.org/W2058256495","https://openalex.org/W2060561057","https://openalex.org/W2061833242","https://openalex.org/W2072086841","https://openalex.org/W2072937229","https://openalex.org/W2075451658","https://openalex.org/W2083066957","https://openalex.org/W2087347434","https://openalex.org/W2094998392","https://openalex.org/W2103611426","https://openalex.org/W2106996050","https://openalex.org/W2118020555","https://openalex.org/W2118384078","https://openalex.org/W2120738856","https://openalex.org/W2123389652","https://openalex.org/W2125375224","https://openalex.org/W2126412899","https://openalex.org/W2145023731","https://openalex.org/W2147615062","https://openalex.org/W2153635508","https://openalex.org/W2163694847","https://openalex.org/W2171244563","https://openalex.org/W2171868464","https://openalex.org/W2543994057","https://openalex.org/W2911964244","https://openalex.org/W4240099608","https://openalex.org/W6600778657"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2185145003","https://openalex.org/W2149757685","https://openalex.org/W2049864679"],"abstract_inverted_index":{"This":[0,212],"work":[1],"proposes":[2],"a":[3,75,127,138,191,217],"key":[4],"pose":[5],"based":[6,33],"intelligent":[7],"system":[8],"for":[9,26,80,93],"recognition":[10,69],"of":[11,28,44,62,110,140,143,155,174,177,194,209,249],"human":[12],"interactions":[13],"from":[14,77],"video":[15,34],"streams.":[16],"In":[17],"addition":[18],"to":[19,40,98,133,216,234],"interaction":[20,136,170,236],"recognition,":[21],"the":[22,42,45,50,63,81,87,100,108,135,151,189,195,201,246,250],"task":[23],"is":[24,39,60,84,91,131,172,198,205,214],"useful":[25],"some":[27,161,210],"other":[29],"applications":[30],"like":[31,220],"content":[32],"retrieval.":[35],"The":[36],"main":[37],"idea":[38],"use":[41],"shape":[43,56,65],"bilateral":[46,88],"silhouett":[47],"e":[48],"between":[49],"persons":[51],"and":[52,70,86,96,118,242],"analyze":[53],"it":[54],"using":[55,123],"context":[57],"descriptor,":[58,203],"which":[59,179,204],"one":[61,121],"popular":[64],"descriptors":[66],"in":[67,158,165],"object":[68],"matching":[71],"tasks.":[72],"At":[73],"first,":[74],"dictionary":[76],"random":[78,221],"samples":[79,95,117],"whole":[82],"classes":[83,97],"collected":[85],"silhouette":[89],"image":[90],"extracted":[92],"all":[94],"train":[99],"low":[101],"level":[102,129],"classifier":[103,130,149,219],"named":[104],"frame":[105,124,144,166,196],"classifier.":[106,125,153],"Then,":[107],"frames":[109],"test":[111],"sequence":[112,152,171,218],"are":[113],"compared":[114],"with":[115],"these":[116],"labeled":[119],"as":[120,137,150,200],"class":[122],"Finally,":[126],"high":[128],"used":[132,199],"categorize":[134],"function":[139],"predefined":[141],"labels":[142,197],"sequence.":[145],"We":[146],"call":[147],"this":[148],"Because":[154],"probable":[156],"errors":[157],"foreground":[159],"extraction,":[160],"faults":[162],"may":[163],"occur":[164],"classification.":[167],"Moreover,":[168],"each":[169],"composed":[173],"two":[175],"types":[176],"frames,":[178],"contain":[180],"related":[181],"or":[182,229],"unrelated":[183],"information":[184],"about":[185],"interaction.":[186],"To":[187],"tackle":[188],"problem,":[190],"normalized":[192],"histogram":[193,213],"action":[202],"robust":[206],"against":[207],"misclassification":[208],"frames.":[211],"applied":[215],"decision":[222],"forests":[223],"(RDF),":[224],"Probabilistic":[225],"Neural":[226],"Network":[227],"(PNN)":[228],"Support":[230],"Vector":[231],"Machine":[232],"(SVM)":[233],"perform":[235],"recognition.":[237],"Experimental":[238],"results":[239],"on":[240],"SBU":[241],"UT-interaction":[243],"dataset":[244],"emphasize":[245],"privileged":[247],"performance":[248],"proposed":[251],"method.":[252]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
