{"id":"https://openalex.org/W2136399672","doi":"https://doi.org/10.1109/cvpr.2008.4587737","title":"Learning 4D action feature models for arbitrary view action recognition","display_name":"Learning 4D action feature models for arbitrary view action recognition","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2136399672","doi":"https://doi.org/10.1109/cvpr.2008.4587737","mag":"2136399672"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and 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/scopus2000/10208","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054075262","display_name":"Pingkun Yan","orcid":"https://orcid.org/0000-0002-9779-2141"},"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":"Pingkun Yan","raw_affiliation_strings":["Computer Vision Laboratory, University of Central Florida, Orlando, FL, USA","Computer Vision Lab, University of Central Florida, Orlando, FL"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Computer Vision Lab, University of Central Florida, Orlando, FL","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049445059","display_name":"Saad Khan","orcid":"https://orcid.org/0000-0003-4686-4923"},"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":"Saad M. Khan","raw_affiliation_strings":["Computer Vision Laboratory, University of Central Florida, Orlando, FL, USA","Computer Vision Lab, University of Central Florida, Orlando, FL"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Computer Vision Lab, University of Central Florida, Orlando, FL","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":"Mubarak Shah","raw_affiliation_strings":["Computer Vision Laboratory, University of Central Florida, Orlando, FL, USA","Computer Vision Lab, University of Central Florida, Orlando, FL"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Computer Vision Lab, University of Central Florida, Orlando, FL","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054075262"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":12.4148,"has_fulltext":false,"cited_by_count":147,"citation_normalized_percentile":{"value":0.9890817,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9988999962806702,"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":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.7305645942687988},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6839569211006165},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6608220338821411},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5908238887786865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48053795099258423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34680309891700745},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.060342222452163696}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7305645942687988},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6839569211006165},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6608220338821411},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5908238887786865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48053795099258423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34680309891700745},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.060342222452163696},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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":4,"locations":[{"id":"doi:10.1109/cvpr.2008.4587737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-11207","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/10208","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:10.1.1.152.8233","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.8233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://longwood.cs.ucf.edu/~vision/papers/cvpr2008/1.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.324.2702","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.2702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/397.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-11207","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/10208","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":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313934","display_name":"Institut national de recherche en informatique et en automatique (INRIA)","ror":"https://ror.org/02kvxyf05"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2010399676","https://openalex.org/W2021733262","https://openalex.org/W2035143052","https://openalex.org/W2057175746","https://openalex.org/W2097290566","https://openalex.org/W2104020497","https://openalex.org/W2125854396","https://openalex.org/W2133716807","https://openalex.org/W2138232383","https://openalex.org/W2140670136","https://openalex.org/W2145993016","https://openalex.org/W2152716832","https://openalex.org/W2156135524","https://openalex.org/W2157084238","https://openalex.org/W2161612652","https://openalex.org/W2165095705","https://openalex.org/W2166070055","https://openalex.org/W2168894448","https://openalex.org/W2169039276","https://openalex.org/W3141200356","https://openalex.org/W6680747436","https://openalex.org/W6683086608","https://openalex.org/W6683492740"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2256933480","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W1576128429","https://openalex.org/W2269464716"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"a":[5,9],"novel":[6],"approach":[7],"using":[8,142],"4D":[10],"(x,y,z,t)":[11],"action":[12,51,81,113],"feature":[13],"model":[14,121],"(4D-AFM)":[15],"for":[16],"recognizing":[17],"actions":[18],"from":[19,32,115],"arbitrary":[20],"views.":[21,34],"The":[22,35],"4D-AFM":[23],"elegantly":[24],"encodes":[25],"shape":[26],"and":[27,145],"motion":[28],"of":[29,44,65,79,92,111,123,129],"actors":[30,45],"observed":[31],"multiple":[33],"modeling":[36],"process":[37],"starts":[38],"with":[39],"reconstructing":[40],"3D":[41,93],"visual":[42,94],"hulls":[43,95],"at":[46],"each":[47,57],"time":[48,97],"instant.":[49],"Spatiotemporal":[50],"features":[52,86,114],"are":[53,87,105],"then":[54],"computed":[55],"in":[56],"view":[58],"by":[59,71,125],"analyzing":[60],"the":[61,73,77,80,90,101,109,116,120,138],"differential":[62],"geometric":[63],"properties":[64],"spatio-temporal":[66],"volumes":[67],"(3D":[68],"STVs)":[69],"generated":[70],"concatenating":[72],"actor\u2019s":[74],"silhouette":[75],"over":[76,96],"course":[78],"(x,":[82],"y,":[83],"t).":[84],"These":[85],"mapped":[88],"to":[89,99,119],"sequence":[91],"(4D)":[98],"build":[100],"initial":[102],"4D-AFM.":[103],"Actions":[104],"recognized":[106],"based":[107],"on":[108,137],"scores":[110],"matching":[112],"input":[117,147],"videos":[118],"points":[122],"4D-AFMs":[124],"exploiting":[126],"pairwise":[127],"interactions":[128],"features.":[130],"Promising":[131],"recognition":[132],"results":[133],"have":[134],"been":[135],"demonstrated":[136],"multi-view":[139,146],"IXMAS":[140],"dataset":[141],"both":[143],"single":[144],"videos.":[148]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":15},{"year":2014,"cited_by_count":18},{"year":2013,"cited_by_count":26},{"year":2012,"cited_by_count":20}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}