{"id":"https://openalex.org/W2098940422","doi":"https://doi.org/10.1109/cvpr.2003.1211523","title":"View invariants for human action recognition","display_name":"View invariants for human action recognition","publication_year":2003,"publication_date":"2003-12-22","ids":{"openalex":"https://openalex.org/W2098940422","doi":"https://doi.org/10.1109/cvpr.2003.1211523","mag":"2098940422"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2003.1211523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","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/A5025626284","display_name":"Vasu Parameswaran","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"V. Parameswaran","raw_affiliation_strings":["Center for Automation Research, University of Maryland, College Park, MD, USA","Center for Autom. Res., Univ. of Maryland, College Park, MD, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Center for Automation Research, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Center for Autom. Res., Univ. of Maryland, College Park, MD, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Chellappa","raw_affiliation_strings":["Center for Automation Research, University of Maryland, College Park, MD, USA","Center for Autom. Res., Univ. of Maryland, College Park, MD, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Center for Automation Research, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Center for Autom. Res., Univ. of Maryland, College Park, MD, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025626284"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":5.9219,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":{"value":0.96580798,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"613"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9991000294685364,"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/action","display_name":"Action (physics)","score":0.6318086385726929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.592376708984375},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5756692886352539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3289625644683838},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06020694971084595}],"concepts":[{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6318086385726929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.592376708984375},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5756692886352539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3289625644683838},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06020694971084595},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2003.1211523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W4545112","https://openalex.org/W1575912008","https://openalex.org/W2064173729","https://openalex.org/W2090110089","https://openalex.org/W2097290566","https://openalex.org/W2112364359","https://openalex.org/W2113122905","https://openalex.org/W2119189625","https://openalex.org/W2119909011","https://openalex.org/W2121899951","https://openalex.org/W2130489146","https://openalex.org/W2132216449","https://openalex.org/W2137806997","https://openalex.org/W2144761589","https://openalex.org/W2247672741","https://openalex.org/W2293560592","https://openalex.org/W4249924293","https://openalex.org/W6677671666","https://openalex.org/W6690607969"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W1576128429","https://openalex.org/W2269464716"],"abstract_inverted_index":{"This":[0],"paper":[1,20],"presents":[2,22],"two":[3],"approaches":[4],"for":[5,16],"the":[6,34,82],"representation":[7],"and":[8,39,86],"recognition":[9],"of":[10,33,106,114],"human":[11],"action":[12,56,90],"in":[13,63,92],"video,":[14],"aiming":[15],"view-point":[17],"invariance.":[18],"The":[19,96],"first":[21],"new":[23,41],"results":[24,102],"using":[25],"a":[26,40,60,64,76,93,111],"2D":[27,35,79],"approach":[28,36,43],"presented":[29,99],"earlier.":[30],"Inherent":[31],"limitations":[32],"are":[37,84],"discussed":[38],"3D":[42,50,65],"that":[44],"builds":[45],"on":[46,49,103],"recent":[47],"work":[48],"model-based":[51],"invariants,":[52],"is":[53,57,98],"presented.":[54],"Each":[55],"represented":[58],"as":[59],"unique":[61],"curve":[62],"invariance":[66],"space,":[67],"surrounded":[68],"by":[69,101],"an":[70],"acceptance":[71],"volume":[72],"('action":[73],"volume').":[74],"Given":[75],"video":[77],"sequence,":[78],"quantities":[80],"from":[81],"image":[83],"calculated":[85],"matched":[87],"against":[88],"candidate":[89],"volumes":[91],"probabilistic":[94],"framework.":[95],"theory":[97],"followed":[100],"arbitrary":[104],"projections":[105],"motion-capture":[107],"data":[108],"which":[109],"demonstrate":[110],"high":[112],"degree":[113],"tolerance":[115],"to":[116],"viewpoint":[117],"change.":[118]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
