{"id":"https://openalex.org/W2083975035","doi":"https://doi.org/10.1109/iccv.2009.5459307","title":"Human pose estimation using consistent max-covering","display_name":"Human pose estimation using consistent max-covering","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2083975035","doi":"https://doi.org/10.1109/iccv.2009.5459307","mag":"2083975035"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","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/A5053349677","display_name":"Hao Jiang","orcid":"https://orcid.org/0000-0002-3355-0063"},"institutions":[{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hao Jiang","raw_affiliation_strings":["Computer Science Department, Boston College Graduate School, Chestnut Hill, MA, USA","Computer Science Department, Boston College, Chestnut Hill, MA, 02467, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Boston College Graduate School, Chestnut Hill, MA, USA","institution_ids":["https://openalex.org/I103531236"]},{"raw_affiliation_string":"Computer Science Department, Boston College, Chestnut Hill, MA, 02467, USA","institution_ids":["https://openalex.org/I103531236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5053349677"],"corresponding_institution_ids":["https://openalex.org/I103531236"],"apc_list":null,"apc_paid":null,"fwci":8.2014,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.97888004,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1357","last_page":"1364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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":0.9995999932289124,"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":0.9987000226974487,"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":0.7798529267311096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6995591521263123},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.6672323942184448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.641620397567749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6183157563209534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47268182039260864},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4620925784111023},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41905927658081055},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41303086280822754},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4100358486175537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30737751722335815},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13283401727676392}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7798529267311096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6995591521263123},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.6672323942184448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.641620397567749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6183157563209534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47268182039260864},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4620925784111023},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41905927658081055},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41303086280822754},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4100358486175537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30737751722335815},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13283401727676392},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv.2009.5459307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.364.1630","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.1630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bc.edu/~hjiang/papers/journal/pami2011a.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.364.3097","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.3097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bc.edu/~hjiang/papers/conference/iccv09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1551519658","https://openalex.org/W1997691213","https://openalex.org/W2030536784","https://openalex.org/W2064017452","https://openalex.org/W2091098068","https://openalex.org/W2097041931","https://openalex.org/W2104093257","https://openalex.org/W2113122905","https://openalex.org/W2116735535","https://openalex.org/W2123533187","https://openalex.org/W2124609748","https://openalex.org/W2124864523","https://openalex.org/W2128981808","https://openalex.org/W2131263044","https://openalex.org/W2140670136","https://openalex.org/W2143158307","https://openalex.org/W2152386463","https://openalex.org/W2152926413","https://openalex.org/W2158268505","https://openalex.org/W2161361693","https://openalex.org/W2167970616","https://openalex.org/W2168108030","https://openalex.org/W2172043283","https://openalex.org/W3141021069","https://openalex.org/W6633013131","https://openalex.org/W6680747436","https://openalex.org/W6683590607","https://openalex.org/W6684531988"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1906975550","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2001760863","https://openalex.org/W2185145003"],"abstract_inverted_index":{"We":[0,88],"propose":[1,89],"a":[2,103],"novel":[3],"consistent":[4,98],"max-covering":[5,12,99],"scheme":[6],"for":[7,69,121],"human":[8,122],"pose":[9,14,79,123],"estimation.":[10,124],"Consistent":[11],"formulates":[13],"estimation":[15],"as":[16],"the":[17,29,35,60,63,97,111],"covering":[18],"of":[19,74,105],"body":[20,30,43,57],"part":[21,31,64],"polygons":[22],"on":[23,102],"an":[24,90],"object":[25],"silhouette":[26],"so":[27],"that":[28,110],"tiles":[32],"maximally":[33],"cover":[34],"foreground,":[36],"match":[37],"local":[38],"image":[39],"features,":[40],"and":[41,46,107],"satisfy":[42],"linkage":[44],"plan":[45],"color":[47],"constraints.":[48],"It":[49],"uses":[50],"high":[51],"order":[52],"constraints":[53],"to":[54,85,95],"anchor":[55],"multiple":[56,76],"parts":[58],"simultaneously;":[59],"hyper-edges":[61],"in":[62,78],"relation":[65],"graph":[66],"are":[67],"essential":[68],"detecting":[70],"complex":[71],"poses.":[72],"Because":[73],"using":[75],"clues":[77],"estimation,":[80],"this":[81],"method":[82,94,113],"is":[83,114],"resistant":[84],"cluttered":[86],"foregrounds.":[87],"efficient":[91],"linear":[92],"relaxation":[93],"solve":[96],"problem.":[100],"Experiments":[101],"variety":[104],"images":[106],"videos":[108],"show":[109],"proposed":[112],"more":[115],"robust":[116],"than":[117],"locally":[118],"constrained":[119],"methods":[120]},"counts_by_year":[{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}