{"id":"https://openalex.org/W2153719684","doi":"https://doi.org/10.1109/icpr.2008.4761439","title":"Action recognition based on homography constraints","display_name":"Action recognition based on homography constraints","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2153719684","doi":"https://doi.org/10.1109/icpr.2008.4761439","mag":"2153719684"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761439","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"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":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2000/9586","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089344406","display_name":"Yuping Shen","orcid":"https://orcid.org/0000-0002-0732-8450"},"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":"Yuping Shen","raw_affiliation_strings":["Computational Imaging Laboratory, University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computational Imaging Laboratory, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101750458","display_name":"Nazim Ashraf","orcid":"https://orcid.org/0009-0003-2481-5677"},"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":"Nazim Ashraf","raw_affiliation_strings":["Computational Imaging Laboratory, University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computational Imaging Laboratory, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076117344","display_name":"Hassan Foroosh","orcid":"https://orcid.org/0000-0002-7601-8165"},"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":"Hassan Foroosh","raw_affiliation_strings":["Computational Imaging Laboratory, University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computational Imaging Laboratory, 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/A5089344406"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":1.7266,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.8254818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9987000226974487,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9986000061035156,"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/viewpoints","display_name":"Viewpoints","score":0.7275153398513794},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6497383713722229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6283223628997803},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.6089692711830139},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5867758393287659},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5795937776565552},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5765208005905151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.56819748878479},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5580871105194092},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5238292813301086},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.4469777047634125},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4195564389228821},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3696085810661316},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32979780435562134},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11832377314567566},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.10500088334083557},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.09328654408454895}],"concepts":[{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.7275153398513794},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6497383713722229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6283223628997803},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.6089692711830139},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5867758393287659},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5795937776565552},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5765208005905151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.56819748878479},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5580871105194092},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5238292813301086},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.4469777047634125},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4195564389228821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3696085810661316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32979780435562134},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11832377314567566},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.10500088334083557},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.09328654408454895},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr.2008.4761439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761439","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"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":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-10585","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/9586","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.3085","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.3085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/TuAT2.6.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-10585","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/9586","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":21,"referenced_works":["https://openalex.org/W2013076218","https://openalex.org/W2021733262","https://openalex.org/W2034328688","https://openalex.org/W2097201883","https://openalex.org/W2097290566","https://openalex.org/W2100905386","https://openalex.org/W2117973875","https://openalex.org/W2119350939","https://openalex.org/W2121899951","https://openalex.org/W2125854396","https://openalex.org/W2138105460","https://openalex.org/W2138232383","https://openalex.org/W2141781484","https://openalex.org/W2145713909","https://openalex.org/W2154903520","https://openalex.org/W2155351433","https://openalex.org/W2156135524","https://openalex.org/W2165715280","https://openalex.org/W3141200356","https://openalex.org/W4246360827","https://openalex.org/W4249279051"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W93537448","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W2048332520","https://openalex.org/W2295006769"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,44,83],"present":[4],"a":[5,35,49,65,81],"new":[6],"approach":[7],"for":[8],"view-invariant":[9],"action":[10,33,47],"recognition":[11],"using":[12],"constraints":[13,94],"derived":[14],"from":[15,111,138],"the":[16,55,58,62,77,85,96,99],"eigenvalues":[17,91],"of":[18,24,51,64,67,80,87,89,98],"planar":[19],"homographies":[20],"associated":[21],"with":[22,142],"triplets":[23],"body":[25,68],"points.":[26],"Unlike":[27],"existing":[28],"methods":[29],"that":[30,57,117],"study":[31],"an":[32,46],"as":[34,48],"whole,":[36],"or":[37],"break":[38],"it":[39],"down":[40],"into":[41],"individual":[42],"poses,":[43],"represent":[45],"sequence":[50],"pose":[52,73,100,124],"transitions.":[53],"Using":[54],"fact":[56],"homography":[59],"induced":[60],"by":[61,106],"motion":[63],"triplet":[66],"points":[69],"in":[70],"two":[71,88,103],"identical":[72],"transitions":[74,101,125],"reduces":[75],"to":[76,92],"special":[78],"case":[79],"homology,":[82],"exploit":[84],"equality":[86],"its":[90],"impose":[93],"on":[95],"similarity":[97],"between":[102],"subjects,":[104],"observed":[105],"different":[107,112,140,143],"perspective":[108],"cameras":[109],"and":[110,126,135],"viewpoints.":[113],"Experimental":[114],"results":[115],"show":[116],"our":[118],"method":[119],"can":[120],"accurately":[121],"identify":[122],"human":[123],"actions":[127],"even":[128],"when":[129],"they":[130],"include":[131],"dynamic":[132],"timeline":[133],"maps,":[134],"are":[136],"obtained":[137],"totally":[139],"viewpoints":[141],"camera":[144],"parameters.":[145]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":11},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
