{"id":"https://openalex.org/W2004648276","doi":"https://doi.org/10.1109/icip.2012.6467120","title":"Joint view-identity manifold for target tracking and recognition","display_name":"Joint view-identity manifold for target tracking and recognition","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2004648276","doi":"https://doi.org/10.1109/icip.2012.6467120","mag":"2004648276"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2012.6467120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6467120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","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/A5100665609","display_name":"Jiulu Gong","orcid":"https://orcid.org/0000-0002-5679-6787"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Jiulu Gong","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University, USA","School of Mechatronical Engineering, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, USA","institution_ids":["https://openalex.org/I115475287"]},{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016996180","display_name":"Guoliang Fan","orcid":"https://orcid.org/0000-0002-8584-9040"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoliang Fan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, USA","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020125965","display_name":"Liangjiang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liangjiang Yu","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, USA","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108518519","display_name":"Joseph Havlicek","orcid":null},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph P. Havlicek","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Oklahoma, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028104934","display_name":"Derong Chen","orcid":"https://orcid.org/0009-0009-3877-9359"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Derong Chen","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100665609"],"corresponding_institution_ids":["https://openalex.org/I115475287","https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":1.1108,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79246707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"290","issue":null,"first_page":"1357","last_page":"1360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9979000091552734,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.6997910141944885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799567937850952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6308668255805969},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.6304998397827148},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.574957013130188},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5639040470123291},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5380735993385315},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.532610297203064},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5303303003311157},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.47980573773384094},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.45364096760749817},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42827868461608887},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.37825116515159607},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2596255838871002}],"concepts":[{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.6997910141944885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799567937850952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6308668255805969},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.6304998397827148},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.574957013130188},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5639040470123291},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5380735993385315},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.532610297203064},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5303303003311157},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.47980573773384094},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.45364096760749817},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42827868461608887},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.37825116515159607},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2596255838871002},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2012.6467120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6467120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.706.1833","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.706.1833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hotnsour.ou.edu/joebob/PdfPubs/ICIP2012_Gong.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1537172376","https://openalex.org/W1571870753","https://openalex.org/W1876055130","https://openalex.org/W1966061914","https://openalex.org/W2011714961","https://openalex.org/W2038284254","https://openalex.org/W2053186076","https://openalex.org/W2053197265","https://openalex.org/W2084262241","https://openalex.org/W2086479969","https://openalex.org/W2105259476","https://openalex.org/W2110404686","https://openalex.org/W2133451415","https://openalex.org/W2136111243","https://openalex.org/W2138435310","https://openalex.org/W2140469547","https://openalex.org/W2171461439","https://openalex.org/W6676272486"],"related_works":["https://openalex.org/W2015530857","https://openalex.org/W2556064263","https://openalex.org/W1991846142","https://openalex.org/W1583020711","https://openalex.org/W2943623134","https://openalex.org/W2494523064","https://openalex.org/W1521151968","https://openalex.org/W2128655648","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"A":[0,43,81],"new":[1],"joint":[2],"view-identity":[3],"manifold":[4],"(JVIM)":[5],"is":[6,13,52,86],"proposed":[7],"for":[8,39],"multiview":[9],"shape":[10],"modeling":[11],"that":[12,99],"applied":[14],"to":[15,36,54,88],"automated":[16],"target":[17,69,100],"tracking":[18,101],"and":[19,31,64,93,102,127,139],"recognition":[20,103],"(ATR).":[21],"This":[22],"work":[23,27],"improves":[24],"our":[25,123],"recent":[26],"where":[28],"the":[29,91,120],"view":[30,73,92,138],"identity":[32,94,140],"manifolds":[33],"are":[34],"assumed":[35],"be":[37,105],"independent":[38],"multi-view":[40],"multi-target":[41],"modeling.":[42],"local":[44],"linear":[45],"Gaussian":[46],"process":[47],"latent":[48,79],"variable":[49],"model":[50],"(LL-GPLVM)":[51],"used":[53],"learn":[55],"a":[56,109],"probabilistic":[57],"JVIM":[58,97],"which":[59],"can":[60,104],"capture":[61],"both":[62,125],"inter-class":[63],"intra-class":[65],"variability":[66],"of":[67,122],"2D":[68],"shapes":[70],"under":[71],"arbitrary":[72],"point":[74],"jointly":[75,107],"in":[76,108],"one":[77],"coexisted":[78],"space.":[80],"particle":[82],"filter-based":[83],"ATR":[84,117],"algorithm":[85],"developed":[87],"simultaneously":[89],"infer":[90],"parameters":[95],"along":[96],"so":[98],"achieved":[106],"seamlessly":[110],"fashion.":[111],"The":[112],"experimental":[113],"results":[114],"using":[115,133],"SENSIAC":[116],"database":[118],"demonstrate":[119],"advantages":[121],"method":[124],"qualitatively":[126],"quantitatively":[128],"compared":[129],"with":[130],"existing":[131],"methods":[132],"template":[134],"matching":[135],"or":[136],"separate":[137],"manifolds.":[141]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}