{"id":"https://openalex.org/W4246360827","doi":"https://doi.org/10.1109/icpr.2004.1334410","title":"On the use of anthropometry in the invariant analysis of human actions","display_name":"On the use of anthropometry in the invariant analysis of human actions","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4246360827","doi":"https://doi.org/10.1109/icpr.2004.1334410"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334410","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2000/4755","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017342638","display_name":"Alexei Gritai","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. Gritai","raw_affiliation_strings":["School of Computer Science, University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060280374","display_name":"Yaser Sheikh","orcid":"https://orcid.org/0000-0001-6512-9348"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Sheikh","raw_affiliation_strings":["School of Computer Science, University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080823547","display_name":"Mubarak Shah","orcid":"https://orcid.org/0000-0001-6172-5572"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Shah","raw_affiliation_strings":["School of Computer Science, University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017342638"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":3.4461,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.94013304,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9990000128746033,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9990000128746033,"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/invariant","display_name":"Invariant (physics)","score":0.7210590839385986},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.6941649913787842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6339929103851318},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6252166628837585},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.6182988882064819},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.6119247078895569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6095795631408691},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5828720331192017},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.5020537376403809},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3981705904006958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3169301450252533},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22803443670272827},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08301588892936707}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.7210590839385986},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.6941649913787842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6339929103851318},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6252166628837585},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.6182988882064819},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.6119247078895569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6095795631408691},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5828720331192017},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.5020537376403809},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3981705904006958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3169301450252533},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22803443670272827},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08301588892936707},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2004.1334410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334410","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-5754","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/4755","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2000s","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-5754","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/4755","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2000s","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1530454533","https://openalex.org/W1536003180","https://openalex.org/W1566961672","https://openalex.org/W1575912008","https://openalex.org/W2098940422","https://openalex.org/W2099634219","https://openalex.org/W2113122905","https://openalex.org/W2121899951","https://openalex.org/W2128160875","https://openalex.org/W2149613906","https://openalex.org/W2475607634","https://openalex.org/W2586842096","https://openalex.org/W3141200356","https://openalex.org/W3142970622","https://openalex.org/W4207002640","https://openalex.org/W4247230674","https://openalex.org/W6733192953"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W132764016","https://openalex.org/W2148054235","https://openalex.org/W2132043085","https://openalex.org/W2347413598","https://openalex.org/W71572444","https://openalex.org/W1997383766","https://openalex.org/W2154472250","https://openalex.org/W2350336482","https://openalex.org/W2229352698"],"abstract_inverted_index":{"We":[0,124],"propose":[1],"a":[2,132],"novel":[3],"approach":[4],"to":[5,27,40,70,73,82,95],"matching":[6,88],"human":[7,13,55],"actions":[8,42,76,99],"using":[9,91],"semantic":[10],"correspondence":[11],"between":[12,31],"bodies":[14],"with":[15],"an":[16],"eye":[17],"towards":[18],"invariant":[19,87],"analysis":[20],"of":[21,64,67,128,134],"activity.":[22],"The":[23,51],"correspondences":[24],"are":[25,104],"used":[26],"provide":[28,71],"geometric":[29],"constraints":[30,72],"multiple":[32],"anatomical":[33],"landmarks":[34],"(e.g.":[35],"hands,":[36],"shoulders":[37],"and":[38,47,117,137],"feet)":[39],"match":[41],"performed":[43,77,100],"from":[44],"different":[45,49,79,102],"viewpoints":[46],"in":[48,122,131],"environments.":[50],"fact":[52],"that":[53,97,114],"the":[54,65,110,126],"body":[56],"has":[57],"certain":[58],"anthropometric":[59],"proportion":[60],"allows":[61],"innovative":[62],"use":[63],"machinery":[66],"epipolar":[68],"geometry":[69],"accurately":[74,105],"analyze":[75],"by":[78],"people":[80],"leading":[81],"some":[83],"interesting":[84],"results.":[85],"Temporally":[86],"is":[89,120],"performed,":[90],"non-linear":[92],"time":[93],"warping,":[94],"ensure":[96],"similar":[98],"at":[101],"rates":[103],"matched":[106],"as":[107],"well.":[108],"Thus,":[109],"proposed":[111],"algorithm":[112,130],"guarantees":[113],"both":[115],"temporal":[116],"view":[118],"invariance":[119],"maintained":[121],"matching.":[123],"demonstrate":[125],"versatility":[127],"our":[129],"number":[133],"challenging":[135],"sequences":[136],"applications.":[138]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2025-10-10T00:00:00"}