{"id":"https://openalex.org/W2082740021","doi":"https://doi.org/10.1109/cvprw.2012.6239174","title":"Gamesourcing to acquire labeled human pose estimation data","display_name":"Gamesourcing to acquire labeled human pose estimation data","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2082740021","doi":"https://doi.org/10.1109/cvprw.2012.6239174","mag":"2082740021"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2012.6239174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2012.6239174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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/A5057374067","display_name":"Richard Souvenir","orcid":"https://orcid.org/0000-0002-6066-0946"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Souvenir","raw_affiliation_strings":["University of North Carolina, Charlotte, Charlotte, NC, USA","University of North Carolina at Charlotte, Charlotte, NC 28223, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina, Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"University of North Carolina at Charlotte, Charlotte, NC 28223, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060945556","display_name":"Ayman Hajja","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ayman Hajja","raw_affiliation_strings":["University of North Carolina, Charlotte, Charlotte, NC, USA","University of North Carolina at Charlotte, Charlotte, NC 28223, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina, Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"University of North Carolina at Charlotte, Charlotte, NC 28223, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102862972","display_name":"Scott Spurlock","orcid":"https://orcid.org/0000-0002-5090-7837"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Spurlock","raw_affiliation_strings":["University of North Carolina, Charlotte, Charlotte, NC, USA","University of North Carolina at Charlotte, Charlotte, NC 28223, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina, Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"University of North Carolina at Charlotte, Charlotte, NC 28223, USA","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8329,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76118692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976000189781189,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9864000082015991,"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/pose","display_name":"Pose","score":0.8207365274429321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.815757691860199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7376155853271484},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6450021862983704},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6431936025619507},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6282405853271484},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5334734320640564},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.46610745787620544},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.46281492710113525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39544352889060974},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07654434442520142}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8207365274429321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.815757691860199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7376155853271484},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6450021862983704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6431936025619507},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6282405853271484},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5334734320640564},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.46610745787620544},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.46281492710113525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39544352889060974},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07654434442520142},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw.2012.6239174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2012.6239174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.717.5257","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.717.5257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://facstaff.elon.edu/sspurlock/papers/souvenir12_cvcg.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1883349610","https://openalex.org/W1994529670","https://openalex.org/W2009647132","https://openalex.org/W2022699039","https://openalex.org/W2080942732","https://openalex.org/W2103015390","https://openalex.org/W2105990640","https://openalex.org/W2117309979","https://openalex.org/W2135533529","https://openalex.org/W2141282920","https://openalex.org/W2150059981","https://openalex.org/W2158638750","https://openalex.org/W2162006472","https://openalex.org/W2168356304","https://openalex.org/W2169433763","https://openalex.org/W2172156083","https://openalex.org/W2535410496","https://openalex.org/W6639446458","https://openalex.org/W6675961540","https://openalex.org/W6684741808"],"related_works":["https://openalex.org/W4253893311","https://openalex.org/W3089306886","https://openalex.org/W2113785214","https://openalex.org/W2798721181","https://openalex.org/W3201205132","https://openalex.org/W4312694060","https://openalex.org/W4386075737","https://openalex.org/W4393563475","https://openalex.org/W4387967917","https://openalex.org/W4294967731"],"abstract_inverted_index":{"In":[0],"this":[1,96],"paper,":[2],"we":[3,55,90],"present":[4],"a":[5,39,51,67,77,83],"gamesourcing":[6],"method":[7],"for":[8,25,101],"automatically":[9,71],"and":[10,62,70],"rapidly":[11],"acquiring":[12],"labeled":[13],"images":[14],"of":[15,42,64,79],"human":[16,26,86],"poses":[17],"to":[18,75],"obtain":[19],"ground":[20],"truth":[21],"data":[22,74,93,105,109],"as":[23,99,103,106],"input":[24],"pose":[27,87],"estimation":[28,88],"from":[29],"2D":[30],"images.":[31,48],"Typically,":[32],"these":[33],"datasets":[34],"are":[35],"constructed":[36],"manually":[37],"through":[38],"tedious":[40],"process":[41],"clicking":[43],"on":[44],"joint":[45],"locations":[46],"in":[47,95],"By":[49],"using":[50],"low-cost":[52],"RGBD":[53],"sensor,":[54],"capture":[56],"synchronized,":[57],"registered":[58],"images,":[59],"depth":[60],"maps,":[61],"skeletons":[63],"users":[65],"playing":[66],"movement-based":[68],"game":[69],"filter":[72],"the":[73],"keep":[76],"subset":[78],"unique":[80],"poses.":[81],"Using":[82],"recently-developed,":[84],"learning-based":[85],"method,":[89],"demonstrate":[91],"how":[92],"collected":[94],"manner":[97],"is":[98],"suitable":[100],"use":[102],"training":[104],"existing,":[107],"manually-constructed":[108],"sets.":[110]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
