{"id":"https://openalex.org/W2902733117","doi":"https://doi.org/10.1109/icpr.2018.8545204","title":"Joint Identification-Verification Model for Visual Tracking","display_name":"Joint Identification-Verification Model for Visual Tracking","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902733117","doi":"https://doi.org/10.1109/icpr.2018.8545204","mag":"2902733117"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5102875667","display_name":"Min Wu","orcid":"https://orcid.org/0000-0002-1658-6267"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Wu","raw_affiliation_strings":["Aeronautics and Astronautics Engineering College, Air Force Engineering University"],"affiliations":[{"raw_affiliation_string":"Aeronautics and Astronautics Engineering College, Air Force Engineering University","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014604035","display_name":"Yufei Zha","orcid":"https://orcid.org/0000-0001-5013-2501"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Zha","raw_affiliation_strings":["Aeronautics and Astronautics Engineering College, Air Force Engineering University"],"affiliations":[{"raw_affiliation_string":"Aeronautics and Astronautics Engineering College, Air Force Engineering University","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102792870","display_name":"Yuanqiang Zhang","orcid":"https://orcid.org/0000-0001-9404-4378"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqiang Zhang","raw_affiliation_strings":["Aeronautics and Astronautics Engineering College, Air Force Engineering University"],"affiliations":[{"raw_affiliation_string":"Aeronautics and Astronautics Engineering College, Air Force Engineering University","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034734528","display_name":"Tao Ku","orcid":"https://orcid.org/0000-0002-6250-0639"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Ku","raw_affiliation_strings":["Aeronautics and Astronautics Engineering College, Air Force Engineering University"],"affiliations":[{"raw_affiliation_string":"Aeronautics and Astronautics Engineering College, Air Force Engineering University","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100638148","display_name":"Lichao Zhang","orcid":"https://orcid.org/0000-0001-9602-3079"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lichao Zhang","raw_affiliation_strings":["Aeronautics and Astronautics Engineering College, Air Force Engineering University"],"affiliations":[{"raw_affiliation_string":"Aeronautics and Astronautics Engineering College, Air Force Engineering University","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100427286","display_name":"Bin Chen","orcid":"https://orcid.org/0000-0001-8849-0339"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["Aeronautics and Astronautics Engineering College, Air Force Engineering University"],"affiliations":[{"raw_affiliation_string":"Aeronautics and Astronautics Engineering College, Air Force Engineering University","institution_ids":["https://openalex.org/I4210104252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102875667"],"corresponding_institution_ids":["https://openalex.org/I4210104252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14254666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"pp","issue":null,"first_page":"1676","last_page":"1682"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/discriminative-model","display_name":"Discriminative model","score":0.7722221612930298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7526828050613403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7140262722969055},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6807074546813965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6522468328475952},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5829951763153076},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.566977322101593},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5303750038146973},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.49225202202796936},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4419954717159271},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32747799158096313},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3042628765106201},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19372573494911194}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7722221612930298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7526828050613403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140262722969055},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6807074546813965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6522468328475952},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5829951763153076},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.566977322101593},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5303750038146973},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.49225202202796936},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4419954717159271},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32747799158096313},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3042628765106201},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19372573494911194},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W182940129","https://openalex.org/W1937954682","https://openalex.org/W1997121481","https://openalex.org/W2079405810","https://openalex.org/W2098941887","https://openalex.org/W2124211486","https://openalex.org/W2138830939","https://openalex.org/W2154889144","https://openalex.org/W2211629196","https://openalex.org/W2280226538","https://openalex.org/W2317058546","https://openalex.org/W2343187456","https://openalex.org/W2408241409","https://openalex.org/W2424629859","https://openalex.org/W2470394683","https://openalex.org/W2473868734","https://openalex.org/W2518013266","https://openalex.org/W2962824803"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2012200063"],"abstract_inverted_index":{"Similarity":[0,32],"algorithms":[1,33],"determine":[2],"the":[3,6,9,12,15,17,22,27,35,40,43,57,61,78,81,90,95,104,110,113,115,121,127,134,138,145,149,154,160,164,179,185,188,194,198,202],"location":[4],"of":[5,56,174,197],"target":[7,28,139],"by":[8,144],"similarity":[10,79,146,203],"between":[11,148],"template":[13,23,41,128,150],"and":[14,99,129,151,168,192],"candidate,":[16],"most":[18,36,51],"similar":[19,37,189],"candidate":[20,38],"to":[21,39,76],"is":[24,65,74,107],"considered":[25],"as":[26,42],"in":[29,120,153],"visual":[30,47,85],"tracking.":[31,86],"search":[34],"current":[44],"estimation":[45],"for":[46,84,187],"object.":[48],"In":[49,67],"practice,":[50],"trackers":[52,199],"only":[53],"take":[54],"usage":[55],"intra-class":[58,100],"similarity,":[59,101],"yet":[60],"inter-class":[62,96,180],"semantic":[63,97,181],"separability":[64,98,182],"ignored.":[66],"this":[68],"paper,":[69],"a":[70],"joint":[71],"identification-verification":[72],"model":[73],"proposed":[75,161],"learn":[77],"with":[80],"category":[82],"attribute":[83],"This":[87],"approach":[88,162],"constructs":[89],"cost":[91],"function":[92],"both":[93],"on":[94,163,201],"firstly.":[102],"Then,":[103],"training":[105],"dataset":[106],"fed":[108,132],"into":[109,133],"network.":[111],"To":[112],"end,":[114],"discriminative":[116],"features":[117],"are":[118,131],"learned":[119,155],"embedding":[122,156],"space.":[123,157],"During":[124],"tracking":[125,195],"phase,":[126],"candidates":[130,152],"network":[135],"simultaneously.":[136],"Thereforce,":[137],"will":[140],"be":[141],"located":[142],"correctly":[143],"metric":[147],"We":[158],"evaluate":[159],"open":[165],"benchmark:":[166],"OTB50":[167],"UAV123":[169],"dataset.":[170],"A":[171],"large":[172],"number":[173],"experimental":[175],"results":[176],"show":[177],"that":[178],"can":[183],"increase":[184],"discrimination":[186],"distractors":[190],"effectively,":[191],"bootstrap":[193],"performances":[196],"based":[200],"learning.":[204]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}