{"id":"https://openalex.org/W2130111888","doi":"https://doi.org/10.1117/12.2003004","title":"Real-time skeleton tracking for embedded systems","display_name":"Real-time skeleton tracking for embedded systems","publication_year":2013,"publication_date":"2013-03-07","ids":{"openalex":"https://openalex.org/W2130111888","doi":"https://doi.org/10.1117/12.2003004","mag":"2130111888"},"language":"en","primary_location":{"id":"doi:10.1117/12.2003004","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2003004","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5052408464","display_name":"Foti Coleca","orcid":null},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Foti Coleca","raw_affiliation_strings":["Gestigon GmbH (Germany)","Univ. of L\u00fcbeck (Germany)"],"affiliations":[{"raw_affiliation_string":"Gestigon GmbH (Germany)","institution_ids":[]},{"raw_affiliation_string":"Univ. of L\u00fcbeck (Germany)","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083722098","display_name":"Sascha Klement","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sascha Klement","raw_affiliation_strings":["Gestigon GmbH (Germany)"],"affiliations":[{"raw_affiliation_string":"Gestigon GmbH (Germany)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014856404","display_name":"Thomas Martinetz","orcid":"https://orcid.org/0000-0002-4539-4475"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Martinetz","raw_affiliation_strings":["Univ. of L\u00fcbeck (Germany)"],"affiliations":[{"raw_affiliation_string":"Univ. of L\u00fcbeck (Germany)","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021756032","display_name":"Erhardt Barth","orcid":"https://orcid.org/0000-0001-8556-2472"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Erhardt Barth","raw_affiliation_strings":["Univ. of L\u00fcbeck (Germany)"],"affiliations":[{"raw_affiliation_string":"Univ. of L\u00fcbeck (Germany)","institution_ids":["https://openalex.org/I9341345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052408464"],"corresponding_institution_ids":["https://openalex.org/I9341345"],"apc_list":null,"apc_paid":null,"fwci":1.5373,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84180974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"8667","issue":null,"first_page":"86671X","last_page":"86671X"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9984999895095825,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9901000261306763,"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":0.8256873488426208},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6390038132667542},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5673254728317261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5491809248924255},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.535373866558075},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5302649736404419},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.4535759687423706},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.44593361020088196},{"id":"https://openalex.org/keywords/simd","display_name":"SIMD","score":0.43967100977897644},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43419185280799866},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.12687933444976807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8256873488426208},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6390038132667542},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5673254728317261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5491809248924255},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.535373866558075},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5302649736404419},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.4535759687423706},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.44593361020088196},{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.43967100977897644},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43419185280799866},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.12687933444976807},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2003004","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2003004","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W51022589","https://openalex.org/W150946523","https://openalex.org/W200908989","https://openalex.org/W1540242137","https://openalex.org/W1675710831","https://openalex.org/W1964370383","https://openalex.org/W2060280062","https://openalex.org/W2114319712","https://openalex.org/W2123605381","https://openalex.org/W2137940226","https://openalex.org/W2157441726","https://openalex.org/W2172156083"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"Touch-free":[0],"gesture":[1,30,47,68],"technology":[2],"is":[3,34,98,128],"beginning":[4],"to":[5,86,186],"become":[6],"more":[7],"popular":[8],"with":[9,132,170],"consumers":[10],"and":[11,31,54,67,136,158],"may":[12],"have":[13],"a":[14,88,93,99],"significant":[15],"future":[16],"impact":[17],"on":[18,72],"interfaces":[19],"for":[20,29,46,52,63,151],"digital":[21],"photography.":[22],"However,":[23],"almost":[24],"every":[25],"commercial":[26],"software":[27],"framework":[28],"pose":[32,107],"detection":[33],"aimed":[35],"at":[36,191],"either":[37],"desktop":[38],"PCs":[39],"or":[40,117,142],"high-powered":[41],"GPUs,":[42],"making":[43],"mobile":[44],"implementations":[45],"recognition":[48,69,108],"an":[49,61,73,121],"attractive":[50],"area":[51],"research":[53],"development.":[55],"In":[56],"this":[57],"paper":[58],"we":[59,183],"present":[60],"algorithm":[62,82,127,150,169],"hand":[64],"skeleton":[65,190],"tracking":[66],"that":[70],"runs":[71],"ARM-based":[74],"platform":[75,154],"(Pandaboard":[76],"ES,":[77],"OMAP":[78],"4460":[79],"architecture).":[80],"The":[81],"uses":[83],"self-organizing":[84],"maps":[85],"fit":[87],"given":[89],"topology":[90],"(skeleton)":[91],"into":[92],"3D":[94],"point":[95],"cloud.":[96],"This":[97],"novel":[100],"way":[101],"of":[102,106,195],"approaching":[103],"the":[104,126,149,152,159,163,168,189,192,196],"problem":[105],"as":[109],"it":[110],"does":[111],"not":[112],"employ":[113],"complex":[114],"optimization":[115],"techniques":[116],"data-based":[118],"learning.":[119],"After":[120],"initial":[122],"background":[123],"segmentation":[124],"step,":[125],"ran":[129],"in":[130],"parallel":[131],"heuristics,":[133],"which":[134],"detect":[135],"correct":[137],"artifacts":[138],"arising":[139],"from":[140],"insufficient":[141],"erroneous":[143],"input":[144,181],"data.":[145],"We":[146,166],"then":[147],"optimize":[148],"ARM":[153],"using":[155],"fixed-point":[156],"computation":[157],"NEON":[160],"SIMD":[161],"architecture":[162],"OMAP4460":[164],"provides.":[165],"tested":[167],"two":[171],"different":[172],"depth-sensing":[173],"devices":[174,182],"(Microsoft":[175],"Kinect,":[176],"PMD":[177],"Camboard).":[178],"For":[179],"both":[180],"were":[184],"able":[185],"accurately":[187],"track":[188],"native":[193],"framerate":[194],"cameras.":[197]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}