{"id":"https://openalex.org/W2129380527","doi":"https://doi.org/10.1109/icassp.2014.6853802","title":"Gesture recognition using a NMF-based representation of motion-traces extracted from depth silhouettes","display_name":"Gesture recognition using a NMF-based representation of motion-traces extracted from depth silhouettes","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2129380527","doi":"https://doi.org/10.1109/icassp.2014.6853802","mag":"2129380527"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6853802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","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/A5025728492","display_name":"Aymeric Masurelle","orcid":null},"institutions":[{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Aymeric Masurelle","raw_affiliation_strings":["CNRS-LTCI, Institut Mines-T\u00e9l\u00e9com/T\u00e9l\u00e9com ParisTech, Paris, France","LTCI, Inst. Mines Telecom-Telecom Paristech, Paris, France"],"affiliations":[{"raw_affiliation_string":"CNRS-LTCI, Institut Mines-T\u00e9l\u00e9com/T\u00e9l\u00e9com ParisTech, Paris, France","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I205703379","https://openalex.org/I1294671590","https://openalex.org/I12356871"]},{"raw_affiliation_string":"LTCI, Inst. Mines Telecom-Telecom Paristech, Paris, France","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I12356871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060031161","display_name":"Slim Essid","orcid":"https://orcid.org/0000-0002-0028-327X"},"institutions":[{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Slim Essid","raw_affiliation_strings":["CNRS-LTCI, Institut Mines-T\u00e9l\u00e9com/T\u00e9l\u00e9com ParisTech, Paris, France","LTCI, Inst. Mines Telecom-Telecom Paristech, Paris, France"],"affiliations":[{"raw_affiliation_string":"CNRS-LTCI, Institut Mines-T\u00e9l\u00e9com/T\u00e9l\u00e9com ParisTech, Paris, France","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I205703379","https://openalex.org/I1294671590","https://openalex.org/I12356871"]},{"raw_affiliation_string":"LTCI, Inst. Mines Telecom-Telecom Paristech, Paris, France","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I12356871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055423112","display_name":"Ga\u00ebl Richard","orcid":"https://orcid.org/0000-0002-4960-0010"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gael Richard","raw_affiliation_strings":["CNRS-LTCI, Institut Mines-T\u00e9l\u00e9com/T\u00e9l\u00e9com ParisTech, Paris, France","LTCI, Inst. Mines Telecom-Telecom Paristech, Paris, France"],"affiliations":[{"raw_affiliation_string":"CNRS-LTCI, Institut Mines-T\u00e9l\u00e9com/T\u00e9l\u00e9com ParisTech, Paris, France","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I205703379","https://openalex.org/I1294671590","https://openalex.org/I12356871"]},{"raw_affiliation_string":"LTCI, Inst. Mines Telecom-Telecom Paristech, Paris, France","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I12356871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025728492"],"corresponding_institution_ids":["https://openalex.org/I12356871","https://openalex.org/I1294671590","https://openalex.org/I205703379","https://openalex.org/I4210165912"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16299816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"401","issue":null,"first_page":"1275","last_page":"1279"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9995999932289124,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7795107364654541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.710551381111145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6938729882240295},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.689172625541687},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6879152655601501},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.6653724908828735},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6570127010345459},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6020423769950867},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5767149329185486},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5735501050949097},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5383172631263733},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5245171785354614},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5026600360870361},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4867968261241913},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48594415187835693},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.4151148796081543},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.3638479709625244},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07575717568397522}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7795107364654541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.710551381111145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6938729882240295},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.689172625541687},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6879152655601501},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.6653724908828735},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6570127010345459},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6020423769950867},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5767149329185486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5735501050949097},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5383172631263733},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5245171785354614},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5026600360870361},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4867968261241913},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48594415187835693},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.4151148796081543},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.3638479709625244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07575717568397522},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp.2014.6853802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.942.8412","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.942.8412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Aymeric_Masurelle/publication/268074631_Gesture_recognition_using_a_NMF-based_representation_of_motion-traces_extracted_from_depth_silhouettes/links/55151adc0cf260a7cb2e9158.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.950.551","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.950.551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p1284-masurelle.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00990252v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00990252","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 14), May 2014, Florence, Italy","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W3725847","https://openalex.org/W1902027874","https://openalex.org/W1910567995","https://openalex.org/W1983705368","https://openalex.org/W2020163092","https://openalex.org/W2053652187","https://openalex.org/W2070311351","https://openalex.org/W2083563433","https://openalex.org/W2101234009","https://openalex.org/W2126574503","https://openalex.org/W2135029798","https://openalex.org/W2137806997","https://openalex.org/W2158969428","https://openalex.org/W2165715280","https://openalex.org/W2168392347","https://openalex.org/W3143596294","https://openalex.org/W4212863985","https://openalex.org/W6675354045","https://openalex.org/W6680012447"],"related_works":["https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2028966255","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2466763065"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,49,74,95],"novel":[3],"approach":[4,101],"that":[5,99,106],"classifies":[6],"full-body":[7],"human":[8],"gestures":[9],"using":[10,57,85],"original":[11],"spatio-temporal":[12,76],"features":[13,54,81,109],"obtained":[14],"by":[15,40],"applying":[16],"non-negative":[17],"matrix":[18],"factorisation":[19],"(NMF)":[20],"to":[21],"an":[22],"extended":[23,28],"depth":[24,44],"silhouette":[25],"representation.":[26,78],"This":[27],"representation,":[29,32,48],"the":[30,60,69],"motion-trace":[31],"incorporates":[33],"temporal":[34],"dimensions":[35],"as":[36,114],"it":[37],"is":[38,55],"built":[39],"superimposition":[41],"of":[42,51,62],"consecutive":[43],"silhouettes.":[45],"From":[46],"this":[47],"dictionary":[50],"local":[52,64],"motion":[53,65],"learned":[56],"NMF.":[58],"Thus":[59],"projection":[61],"these":[63],"feature":[66,77],"components":[67],"on":[68,94],"incoming":[70],"motion-traces":[71],"results":[72],"in":[73],"compact":[75],"Those":[79],"new":[80],"are":[82],"then":[83],"exploited":[84],"hidden":[86],"Markov":[87],"models":[88],"for":[89],"gesture":[90,96],"recognition.":[91],"Our":[92],"experiments":[93],"dataset":[97],"show":[98],"our":[100],"outperforms":[102],"more":[103],"traditional":[104],"methods":[105],"use":[107],"pose":[108],"or":[110],"decomposition":[111],"techniques":[112],"such":[113],"principal":[115],"component":[116],"analysis.":[117]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
