{"id":"https://openalex.org/W2327854675","doi":"https://doi.org/10.1109/tcsvt.2014.2382984","title":"Cross-View Action Recognition Based on a Statistical Translation Framework","display_name":"Cross-View Action Recognition Based on a Statistical Translation Framework","publication_year":2014,"publication_date":"2014-12-19","ids":{"openalex":"https://openalex.org/W2327854675","doi":"https://doi.org/10.1109/tcsvt.2014.2382984","mag":"2327854675"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2014.2382984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2014.2382984","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5115602722","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-2670-719X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Wang","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034213282","display_name":"Huicheng Zheng","orcid":"https://orcid.org/0000-0002-6729-4176"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huicheng Zheng","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058539266","display_name":"Jinyu Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyu Gao","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062387116","display_name":"Jiepeng Cen","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiepeng Cen","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115602722"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.4877,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.72301957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"26","issue":"8","first_page":"1461","last_page":"1475"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9962999820709229,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9950000047683716,"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/computer-science","display_name":"Computer science","score":0.7434884309768677},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.723366379737854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6400986313819885},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6310266852378845},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5790817737579346},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5772263407707214},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5503685474395752},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5332801938056946},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.5177125930786133},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4804336726665497},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4708760976791382},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4513782262802124},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4117048382759094},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.41125980019569397},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3592950105667114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34232932329177856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2148643434047699},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20905762910842896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7434884309768677},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.723366379737854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6400986313819885},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6310266852378845},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5790817737579346},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5772263407707214},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5503685474395752},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5332801938056946},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.5177125930786133},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4804336726665497},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4708760976791382},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4513782262802124},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4117048382759094},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.41125980019569397},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3592950105667114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34232932329177856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2148643434047699},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20905762910842896},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2014.2382984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2014.2382984","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5243743072","display_name":null,"funder_award_id":"61172141","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321160","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W176837895","https://openalex.org/W191409295","https://openalex.org/W1487322600","https://openalex.org/W1506382271","https://openalex.org/W1556583247","https://openalex.org/W1593040460","https://openalex.org/W1910567995","https://openalex.org/W1978511849","https://openalex.org/W1978609775","https://openalex.org/W1981739160","https://openalex.org/W1995394357","https://openalex.org/W1998605630","https://openalex.org/W1999160507","https://openalex.org/W2006969979","https://openalex.org/W2010243644","https://openalex.org/W2010399676","https://openalex.org/W2013076218","https://openalex.org/W2025632878","https://openalex.org/W2032326183","https://openalex.org/W2054041160","https://openalex.org/W2055753778","https://openalex.org/W2057443918","https://openalex.org/W2065724367","https://openalex.org/W2068611653","https://openalex.org/W2090834590","https://openalex.org/W2092367756","https://openalex.org/W2104020497","https://openalex.org/W2105101328","https://openalex.org/W2114361838","https://openalex.org/W2116709453","https://openalex.org/W2116780029","https://openalex.org/W2118877769","https://openalex.org/W2119058675","https://openalex.org/W2119799051","https://openalex.org/W2126574503","https://openalex.org/W2130843763","https://openalex.org/W2135658380","https://openalex.org/W2138232383","https://openalex.org/W2139594308","https://openalex.org/W2139893168","https://openalex.org/W2140856208","https://openalex.org/W2143215648","https://openalex.org/W2152556536","https://openalex.org/W2156135524","https://openalex.org/W2159001013","https://openalex.org/W2161108669","https://openalex.org/W2165715280","https://openalex.org/W2166070055","https://openalex.org/W2166294429","https://openalex.org/W2172138510","https://openalex.org/W2172207578","https://openalex.org/W2533739470","https://openalex.org/W2536349189","https://openalex.org/W2547599103","https://openalex.org/W3141200356","https://openalex.org/W4285719527","https://openalex.org/W6607672139","https://openalex.org/W6630388723","https://openalex.org/W6633342350","https://openalex.org/W6635689683","https://openalex.org/W6652311901","https://openalex.org/W6672997307","https://openalex.org/W6677137762","https://openalex.org/W6677145740","https://openalex.org/W6677548441","https://openalex.org/W6677766305","https://openalex.org/W6729213900"],"related_works":["https://openalex.org/W3011059803","https://openalex.org/W3151736118","https://openalex.org/W4362495644","https://openalex.org/W3201126466","https://openalex.org/W2962780935","https://openalex.org/W4387896177","https://openalex.org/W4385557855","https://openalex.org/W4287236333","https://openalex.org/W2623411141","https://openalex.org/W2883671469"],"abstract_inverted_index":{"Actions":[0],"captured":[1],"under":[2],"view":[3,71],"changes":[4],"pose":[5],"serious":[6],"challenges":[7],"to":[8,34,70,89],"modern":[9],"action":[10,23,49,66,121,155,159,177],"recognition":[11,24],"methods.":[12,202],"In":[13,105,127],"this":[14],"paper,":[15],"we":[16,157],"propose":[17,86],"an":[18,65],"effective":[19],"approach":[20],"for":[21],"cross-view":[22,154],"based":[25,57,98,162,175],"on":[26,58,99,163,176,185],"a":[27,119,172],"statistical":[28],"translation":[29],"framework,":[30],"which":[31],"boils":[32],"down":[33],"estimation":[35],"of":[36,55,64,102,118],"visual":[37,78],"word":[38,103,109,131,166],"transfer":[39,75,93,110,132,160,167,179],"probabilities":[40,111,133,161,168],"across":[41,80],"views.":[42],"Specifically,":[43],"local":[44],"features":[45],"are":[46,96,112,134,151,197],"extracted":[47],"from":[48],"video":[50,178],"frames":[51],"and":[52,146,169,191],"form":[53],"bags":[54],"words":[56,79],"k-means":[59],"clustering.":[60],"Though":[61],"the":[62,73,91,106,116,124,128,164,186,192],"appearance":[63],"may":[67],"vary":[68],"due":[69],"changes,":[72],"underlying":[74],"tendency":[76],"between":[77],"views":[81],"can":[82],"be":[83],"exploited.":[84],"We":[85,181],"two":[87,141],"methods":[88,142],"measure":[90],"visual-word-based":[92],"relationship":[94],"that":[95],"eventually":[97],"frequency":[100],"counts":[101],"pairs.":[104],"first":[107],"method,":[108,130],"estimated":[113,135,165],"by":[114,136],"maximizing":[115],"likelihood":[117],"shared":[120],"set":[122],"with":[123,200],"EM":[125],"algorithm.":[126],"second":[129],"using":[137],"likelihood-ratio":[138],"tests.":[139],"The":[140],"achieve":[143],"comparable":[144],"results":[145,196],"perform":[147],"better":[148],"when":[149],"they":[150],"combined.":[152],"For":[153],"classification,":[156],"compute":[158],"then":[170],"implement":[171],"K-NN-like":[173],"classification":[174],"probabilities.":[180],"verified":[182],"our":[183],"method":[184],"public":[187],"multiview":[188],"IXMAS":[189],"dataset":[190],"WVU":[193],"dataset.":[194],"Promising":[195],"obtained":[198],"compared":[199],"state-of-the-art":[201]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
