{"id":"https://openalex.org/W41482161","doi":null,"title":"Evaluating Appearance Models for Recognition, Reacquisition, and Tracking","display_name":"Evaluating Appearance Models for Recognition, Reacquisition, and Tracking","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W41482161","mag":"41482161"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.331.7285","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.7285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.soe.ucsc.edu/~dgray/dgray-pets2007.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Douglas A. Gray","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas A. Gray","raw_affiliation_strings":["University of California/Santa Cruz"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California/Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shane Brennan","orcid":"https://orcid.org/0000-0002-3944-5096","observed_orcids":["https://orcid.org/0000-0002-3944-5096"]},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shane Brennan","raw_affiliation_strings":["University of California/Santa Cruz"],"raw_orcid":"https://orcid.org/0000-0002-3944-5096","affiliations":[{"raw_affiliation_string":"University of California/Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107388446","display_name":"Tao Hai","orcid":"https://orcid.org/0000-0002-6156-1974","observed_orcids":["https://orcid.org/0000-0002-6156-1974"]},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Hai","raw_affiliation_strings":["University of California/Santa Cruz"],"raw_orcid":"https://orcid.org/0000-0002-6156-1974","affiliations":[{"raw_affiliation_string":"University of California/Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185103710"],"apc_list":null,"apc_paid":null,"fwci":6.4348,"has_fulltext":false,"cited_by_count":986,"citation_normalized_percentile":{"value":0.96150771,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9833999872207642,"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":0.9833999872207642,"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":0.012299999594688416,"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/T11448","display_name":"Face recognition and analysis","score":0.0010000000474974513,"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/appearance-model","display_name":"appearance model","score":0.996999979019165},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"pedestrian detection","score":0.6039999723434448},{"id":"https://openalex.org/keywords/reacquisition","display_name":"reacquisition","score":0.7860000133514404},{"id":"https://openalex.org/keywords/multi-camera-tracking","display_name":"multi-camera tracking","score":0.6790000200271606},{"id":"https://openalex.org/keywords/single-camera-tracking","display_name":"single-camera tracking","score":0.859000027179718},{"id":"https://openalex.org/keywords/viewpoint-invariance","display_name":"viewpoint invariance","score":0.8960000276565552},{"id":"https://openalex.org/keywords/benchmarking","display_name":"benchmarking","score":0.6290000081062317}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6241530179977417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5414057374000549},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4804132282733917},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.44853973388671875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43592894077301025},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18407025933265686},{"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":"pmh:oai:CiteSeerX.psu:10.1.1.331.7285","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.7285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.soe.ucsc.edu/~dgray/dgray-pets2007.pdf","raw_type":"text"},{"id":"mag:41482161","doi":null,"is_oa":false,"landing_page_url":"http://users.soe.ucsc.edu/%7Edgray/dgray-pets2007.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1571847560","https://openalex.org/W2082498363","https://openalex.org/W2101385198","https://openalex.org/W2113144536","https://openalex.org/W2115569382","https://openalex.org/W2117052143","https://openalex.org/W2119966118","https://openalex.org/W2123977795","https://openalex.org/W2140345984","https://openalex.org/W2143668817","https://openalex.org/W2148942974","https://openalex.org/W2151103935","https://openalex.org/W2157364932","https://openalex.org/W2159128898","https://openalex.org/W2161969291","https://openalex.org/W2166845963","https://openalex.org/W2167277498","https://openalex.org/W2603733831","https://openalex.org/W2740373864","https://openalex.org/W2753461371","https://openalex.org/W3110683067"],"related_works":["https://openalex.org/W7095559487","https://openalex.org/W4252910102","https://openalex.org/W7098823519","https://openalex.org/W620530711","https://openalex.org/W2164178323","https://openalex.org/W2103943795","https://openalex.org/W2125889200","https://openalex.org/W2118540220","https://openalex.org/W200824702","https://openalex.org/W2003213680"],"abstract_inverted_index":{"Traditionally,":[0],"appearance":[1,24,111],"models":[2,25,112],"for":[3,26,55,64,72,109],"recognition,":[4],"reacquisition":[5,62],"and":[6,42,101,113],"tracking":[7,58],"problems":[8,29],"have":[9],"been":[10],"evaluated":[11,32],"independently":[12],"using":[13,33],"metrics":[14],"applied":[15],"to":[16,50],"a":[17,34,39,51,60,107],"complete":[18],"system.":[19],"It":[20],"is":[21,78],"shown":[22],"that":[23,43],"these":[27],"three":[28],"can":[30,47],"be":[31,48],"cumulative":[35],"matching":[36,114],"curve":[37,46],"on":[38,98],"standardized":[40],"dataset,":[41],"this":[44,99],"one":[45],"converted":[49],"synthetic":[52,61],"disambiguation":[53],"rate":[54,63],"single":[56],"camera":[57,66],"or":[59],"cross":[65],"tracking.":[67],"A":[68],"challenging":[69],"new":[70],"dataset":[71,84,100],"viewpoint":[73],"invariant":[74],"pedestrian":[75,87],"recognition":[76],"(VIPeR)":[77],"provided":[79],"as":[80,106],"an":[81],"example.":[82],"This":[83],"contains":[85],"632":[86],"image":[88],"pairs":[89],"from":[90],"arbitrary":[91],"viewpoints.":[92],"Several":[93],"baseline":[94],"methods":[95],"are":[96,104],"tested":[97],"the":[102],"results":[103],"presented":[105],"benchmark":[108],"future":[110],"methods.":[115],"1.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":54},{"year":2020,"cited_by_count":62},{"year":2019,"cited_by_count":94},{"year":2018,"cited_by_count":122},{"year":2017,"cited_by_count":158},{"year":2016,"cited_by_count":110},{"year":2015,"cited_by_count":103},{"year":2014,"cited_by_count":71},{"year":2013,"cited_by_count":45},{"year":2012,"cited_by_count":42}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
