{"id":"https://openalex.org/W2197740393","doi":"https://doi.org/10.1109/ictc.2015.7354499","title":"Articulated human motion tracking using a SOG-PF algorithm","display_name":"Articulated human motion tracking using a SOG-PF algorithm","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2197740393","doi":"https://doi.org/10.1109/ictc.2015.7354499","mag":"2197740393"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2015.7354499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2015.7354499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5101403681","display_name":"Jongsung Kim","orcid":"https://orcid.org/0000-0002-2608-8878"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jongsung Kim","raw_affiliation_strings":["Visual Contents Research Department ETRI, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Visual Contents Research Department ETRI, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051820936","display_name":"Myung-Gyu Kim","orcid":"https://orcid.org/0000-0001-8807-2452"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myunggyu Kim","raw_affiliation_strings":["Visual Contents Research Department ETRI, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Visual Contents Research Department ETRI, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101403681"],"corresponding_institution_ids":["https://openalex.org/I142401562"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59011423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"24","issue":null,"first_page":"80","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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-vision","display_name":"Computer vision","score":0.7722746729850769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7132230997085571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7021237015724182},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6962466239929199},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6246109008789062},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5667272806167603},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.5243518352508545},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4877365529537201},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.46742671728134155},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4557182490825653},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.44853076338768005},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4484022259712219},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.44414612650871277},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41989070177078247},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4100794494152069}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7722746729850769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7132230997085571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021237015724182},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6962466239929199},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6246109008789062},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5667272806167603},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.5243518352508545},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4877365529537201},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.46742671728134155},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4557182490825653},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.44853076338768005},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4484022259712219},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.44414612650871277},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41989070177078247},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4100794494152069},{"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc.2015.7354499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2015.7354499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1555614281","https://openalex.org/W2008639486","https://openalex.org/W2062192902","https://openalex.org/W2066651826","https://openalex.org/W2092146246","https://openalex.org/W2110434318","https://openalex.org/W2119350939","https://openalex.org/W2127689830","https://openalex.org/W2165258384","https://openalex.org/W2187024888"],"related_works":["https://openalex.org/W3196329781","https://openalex.org/W3044789842","https://openalex.org/W4207023496","https://openalex.org/W76740741","https://openalex.org/W585325435","https://openalex.org/W2386384541","https://openalex.org/W2648057","https://openalex.org/W4317826877","https://openalex.org/W2053176442","https://openalex.org/W2523743514"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,14,52],"marker-free":[4],"motion":[5,12,23,33,62],"capture":[6,24],"system":[7,25,76],"to":[8,58],"track":[9,59],"articulated":[10,60],"human":[11,32,61],"using":[13],"new":[15,40],"sum-of-Gaussian":[16],"particle":[17,53],"filter":[18,54],"(SOG-PF)":[19],"algorithm.":[20],"The":[21,71],"proposed":[22,75],"records":[26],"multi-view":[27,64],"color":[28,65],"image":[29,66],"sequences":[30,67],"of":[31,73],"with":[34,51,79],"synchronized":[35],"multiple":[36],"cameras.":[37],"Then,":[38],"the":[39,74],"SOG-PF":[41],"algorithm":[42,55],"that":[43],"effectively":[44],"combines":[45],"3D":[46],"and":[47],"2D":[48],"SOG":[49],"models":[50],"is":[56,77],"adopted":[57],"from":[63],"without":[68],"visual":[69],"markers.":[70],"performance":[72],"verified":[78],"real":[80],"experiments.":[81]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}