{"id":"https://openalex.org/W2146028851","doi":"https://doi.org/10.1109/icip.2011.6116398","title":"Robust body parts tracking using particle filter and dynamic template","display_name":"Robust body parts tracking using particle filter and dynamic template","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2146028851","doi":"https://doi.org/10.1109/icip.2011.6116398","mag":"2146028851"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","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/A5103566266","display_name":"Matilde Gonzalez","orcid":null},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]},{"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/I4210119061","display_name":"Institut de Recherche en Informatique de Toulouse","ror":"https://ror.org/01rx4qw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I205747304","https://openalex.org/I205747304","https://openalex.org/I4210119061","https://openalex.org/I4387153255","https://openalex.org/I4405258862","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Matilde Gonzalez","raw_affiliation_strings":["IRIT (UPS-CNRS UMR 5505), Universit\u00e9 Paul Sabatier, Toulouse, France","IRIT (UPS - CNRS UMR 5505) Universit\u00e9 Paul Sabatier, 118 Route de Narbonne, F-31062 TOULOUSE CEDEX 9"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRIT (UPS-CNRS UMR 5505), Universit\u00e9 Paul Sabatier, Toulouse, France","institution_ids":["https://openalex.org/I134560555","https://openalex.org/I4210119061","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"IRIT (UPS - CNRS UMR 5505) Universit\u00e9 Paul Sabatier, 118 Route de Narbonne, F-31062 TOULOUSE CEDEX 9","institution_ids":["https://openalex.org/I134560555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110302886","display_name":"Christophe Collet","orcid":null},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I4210119061","display_name":"Institut de Recherche en Informatique de Toulouse","ror":"https://ror.org/01rx4qw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I205747304","https://openalex.org/I205747304","https://openalex.org/I4210119061","https://openalex.org/I4387153255","https://openalex.org/I4405258862","https://openalex.org/I4405258862"]},{"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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christophe Collet","raw_affiliation_strings":["IRIT (UPS-CNRS UMR 5505), Universit\u00e9 Paul Sabatier, Toulouse, France","IRIT (UPS - CNRS UMR 5505) Universit\u00e9 Paul Sabatier, 118 Route de Narbonne, F-31062 TOULOUSE CEDEX 9"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRIT (UPS-CNRS UMR 5505), Universit\u00e9 Paul Sabatier, Toulouse, France","institution_ids":["https://openalex.org/I134560555","https://openalex.org/I4210119061","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"IRIT (UPS - CNRS UMR 5505) Universit\u00e9 Paul Sabatier, 118 Route de Narbonne, F-31062 TOULOUSE CEDEX 9","institution_ids":["https://openalex.org/I134560555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103566266"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I4210119061"],"apc_list":null,"apc_paid":null,"fwci":2.0931,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89818099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"529","last_page":"532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9969000220298767,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9954000115394592,"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/particle-filter","display_name":"Particle filter","score":0.8056172132492065},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6917091012001038},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6908198595046997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5993921756744385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5978089570999146},{"id":"https://openalex.org/keywords/auxiliary-particle-filter","display_name":"Auxiliary particle filter","score":0.5577735304832458},{"id":"https://openalex.org/keywords/rectangle","display_name":"Rectangle","score":0.5183113813400269},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.4830797016620636},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48034465312957764},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4746739864349365},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4672042727470398},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45156314969062805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3461792469024658},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2704535126686096},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.1678594946861267},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12760481238365173},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0889720618724823},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.08851924538612366}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.8056172132492065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6917091012001038},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6908198595046997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5993921756744385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5978089570999146},{"id":"https://openalex.org/C52483021","wikidata":"https://www.wikidata.org/wiki/Q4827310","display_name":"Auxiliary particle filter","level":5,"score":0.5577735304832458},{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.5183113813400269},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.4830797016620636},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48034465312957764},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4746739864349365},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4672042727470398},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45156314969062805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3461792469024658},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2704535126686096},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.1678594946861267},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12760481238365173},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0889720618724823},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.08851924538612366},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2011.6116398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W195011325","https://openalex.org/W1552529795","https://openalex.org/W1577470537","https://openalex.org/W2091969002","https://openalex.org/W2161406034","https://openalex.org/W2168392347","https://openalex.org/W2168682262"],"related_works":["https://openalex.org/W2368144031","https://openalex.org/W3144709167","https://openalex.org/W2355962871","https://openalex.org/W2127981223","https://openalex.org/W2162253570","https://openalex.org/W2593675237","https://openalex.org/W1824810860","https://openalex.org/W2109576686","https://openalex.org/W2382411933","https://openalex.org/W2070455225"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,13,25,46,49,56,61,109],"novel":[4],"body":[5],"parts":[6],"tracking":[7,23],"algorithm":[8],"using":[9],"particle":[10,42,79,105],"filters":[11,80],"and":[12,21,38,48,58,121],"dynamic":[14,110],"head":[15,22,104],"template":[16,111],"to":[17,77,81,85,94,112],"handle":[18,86],"occlusions.":[19,39,87],"Hands":[20],"is":[24,53,75,92],"challenging":[26],"problem":[27],"because":[28,65],"of":[29,32,36,63,66,98],"the":[30,34,67,96,103,114],"similarity":[31],"colour,":[33],"presence":[35],"noise":[37],"Two":[40],"different":[41],"models":[43],"are":[44],"considered;":[45],"pixel":[47],"rectangular":[50],"region.":[51],"Head":[52],"modelled":[54],"as":[55,60],"rectangle":[57],"hands":[59],"cloud":[62],"points":[64],"high":[68,124],"hand":[69],"shape":[70],"variability.":[71],"The":[72],"exclusion":[73],"principle":[74],"used":[76,93],"allow":[78],"interact":[82],"between":[83],"them":[84],"Each":[88],"filter":[89],"sample":[90],"set":[91],"penalize":[95],"observations":[97],"any":[99],"other":[100,129],"filter.":[101],"For":[102],"filter,":[106],"we":[107],"use":[108],"determine":[113],"penalizing":[115],"coefficients.":[116],"Experiments":[117],"have":[118,122],"been":[119],"performed":[120],"shown":[123],"performances":[125],"when":[126],"compared":[127],"with":[128],"trackers.":[130]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}