{"id":"https://openalex.org/W2018507448","doi":"https://doi.org/10.1109/tpami.2014.2360373","title":"Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features","display_name":"Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features","publication_year":2014,"publication_date":"2014-09-25","ids":{"openalex":"https://openalex.org/W2018507448","doi":"https://doi.org/10.1109/tpami.2014.2360373","mag":"2018507448","pmid":"https://pubmed.ncbi.nlm.nih.gov/26353331"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2014.2360373","doi":"https://doi.org/10.1109/tpami.2014.2360373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2360373","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-a","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"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/A5003798053","display_name":"Ziyan Wu","orcid":"https://orcid.org/0000-0002-9774-7770","observed_orcids":["https://orcid.org/0000-0002-9774-7770"]},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziyan Wu","raw_affiliation_strings":["Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447990","display_name":"Yang Li","orcid":"https://orcid.org/0000-0003-1682-0284","observed_orcids":["https://orcid.org/0000-0003-1682-0284","https://orcid.org/0000-0002-4993-5558","https://orcid.org/0009-0001-2364-3346"]},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049207791","display_name":"Richard J. Radke","orcid":"https://orcid.org/0000-0001-5064-7775","observed_orcids":["https://orcid.org/0000-0001-5064-7775"]},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard J. Radke","raw_affiliation_strings":["Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Dept. of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":17.2885,"has_fulltext":false,"cited_by_count":121,"citation_normalized_percentile":{"value":0.9940323,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"37","issue":"5","first_page":"1095","last_page":"1108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":9.999999747378752e-05,"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":0.0,"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/person-re-identification","display_name":"person re-identification","score":0.9779999852180481},{"id":"https://openalex.org/keywords/viewpoint-invariance","display_name":"viewpoint invariance","score":0.859000027179718},{"id":"https://openalex.org/keywords/multi-camera-systems","display_name":"multi-camera systems","score":0.902999997138977},{"id":"https://openalex.org/keywords/pose-priors","display_name":"pose priors","score":0.7559999823570251},{"id":"https://openalex.org/keywords/video-surveillance","display_name":"video surveillance","score":0.8040000200271606},{"id":"https://openalex.org/keywords/airport-surveillance","display_name":"airport surveillance","score":0.7879999876022339},{"id":"https://openalex.org/keywords/human-tracking","display_name":"human tracking","score":0.5669999718666077},{"id":"https://openalex.org/keywords/viewpoint-change","display_name":"perspective shift","score":0.41999998688697815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7922265529632568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7678090333938599},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7406560182571411},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5849999785423279},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5689222812652588},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5137208700180054},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5044256448745728},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4744996726512909},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.42407748103141785},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.41933953762054443},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41199591755867004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3626755475997925},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.10322147607803345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08889412879943848},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2014.2360373","doi":"https://doi.org/10.1109/tpami.2014.2360373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2360373","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-a","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:26353331","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26353331","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":"Journal Article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.674.1573","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.674.1573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ecse.rpi.edu/%7Erjradke/papers/wu-pami14.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G7282745900","display_name":null,"funder_award_id":"2013-ST-061-ED0001","funder_id":"https://openalex.org/F4320306110","funder_display_name":"U.S. Department of Homeland Security"}],"funders":[{"id":"https://openalex.org/F4320306110","display_name":"U.S. Department of Homeland Security","ror":"https://ror.org/00jyr0d86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W42769906","https://openalex.org/W1484081748","https://openalex.org/W1518138188","https://openalex.org/W1521189968","https://openalex.org/W1596233070","https://openalex.org/W1887734902","https://openalex.org/W1968381457","https://openalex.org/W1979260620","https://openalex.org/W1989516595","https://openalex.org/W1994715454","https://openalex.org/W2013978178","https://openalex.org/W2034883938","https://openalex.org/W2035720976","https://openalex.org/W2042436258","https://openalex.org/W2046835352","https://openalex.org/W2048110836","https://openalex.org/W2055251102","https://openalex.org/W2062368515","https://openalex.org/W2062677035","https://openalex.org/W2068791026","https://openalex.org/W2070784585","https://openalex.org/W2089074647","https://openalex.org/W2098807270","https://openalex.org/W2100028243","https://openalex.org/W2101211677","https://openalex.org/W2106053110","https://openalex.org/W2108254680","https://openalex.org/W2109824782","https://openalex.org/W2111961000","https://openalex.org/W2112300017","https://openalex.org/W2113609219","https://openalex.org/W2115669554","https://openalex.org/W2118854554","https://openalex.org/W2119605622","https://openalex.org/W2122378993","https://openalex.org/W2126791727","https://openalex.org/W2128560777","https://openalex.org/W2128648922","https://openalex.org/W2129597587","https://openalex.org/W2131255818","https://openalex.org/W2139763424","https://openalex.org/W2147037311","https://openalex.org/W2147336762","https://openalex.org/W2149516292","https://openalex.org/W2150692043","https://openalex.org/W2151103935","https://openalex.org/W2156854584","https://openalex.org/W2162762921","https://openalex.org/W2164178323","https://openalex.org/W2169495281"],"related_works":["https://openalex.org/W1965301261","https://openalex.org/W2073430215","https://openalex.org/W2084289005","https://openalex.org/W1988492566","https://openalex.org/W2615416569","https://openalex.org/W2109712716","https://openalex.org/W2161728298","https://openalex.org/W2465670578","https://openalex.org/W1709635438","https://openalex.org/W2517891254"],"abstract_inverted_index":{"Human":[0],"re-identification":[1,74,108],"across":[2,57],"cameras":[3,39],"with":[4],"non-overlapping":[5],"fields":[6],"of":[7,11,64,90,127,138],"view":[8],"is":[9],"one":[10],"the":[12,45,60,125,131,136,139],"most":[13,53],"important":[14],"and":[15,21,112,142],"difficult":[16],"problems":[17],"in":[18,30,106],"video":[19],"surveillance":[20,38,163],"analysis.":[22],"However,":[23],"current":[24],"algorithms":[25,54],"are":[26,40],"likely":[27],"to":[28,109,116,129,145],"fail":[29],"real-world":[31],"scenarios":[32],"for":[33,84],"several":[34,146],"reasons.":[35],"For":[36],"example,":[37],"typically":[41],"mounted":[42],"high":[43],"above":[44],"ground":[46],"plane,":[47],"causing":[48],"serious":[49],"perspective":[50],"changes.":[51],"Also,":[52],"approach":[55],"matching":[56,111],"images":[58],"using":[59,92],"same":[61],"descriptors,":[62],"regardless":[63],"camera":[65],"viewpoint":[66],"or":[67],"human":[68,85],"pose.":[69],"Here,":[70],"we":[71],"introduce":[72],"a":[73,82,88,97,159],"algorithm":[75,141],"that":[76],"addresses":[77],"both":[78],"problems.":[79],"We":[80,100,118,134],"build":[81],"model":[83],"appearance":[86],"as":[87,156,158],"function":[89],"pose,":[91],"training":[93],"data":[94],"gathered":[95],"from":[96],"calibrated":[98],"camera.":[99],"then":[101],"apply":[102],"this":[103],"\"pose":[104],"prior\"":[105],"online":[107],"make":[110],"identification":[113],"more":[114],"robust":[115],"viewpoint.":[117],"further":[119],"integrate":[120],"person-specific":[121],"features":[122],"learned":[123],"over":[124],"course":[126],"tracking":[128],"improve":[130],"algorithm's":[132],"performance.":[133],"evaluate":[135],"performance":[137,151],"proposed":[140],"compare":[143],"it":[144],"state-of-the-art":[147],"algorithms,":[148],"demonstrating":[149],"superior":[150],"on":[152],"standard":[153],"benchmarking":[154],"datasets":[155],"well":[157],"challenging":[160],"new":[161],"airport":[162],"scenario.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":29},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":9}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
