{"id":"https://openalex.org/W2783258213","doi":"https://doi.org/10.1109/tmm.2019.2932615","title":"PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark","display_name":"PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark","publication_year":2019,"publication_date":"2019-08-14","ids":{"openalex":"https://openalex.org/W2783258213","doi":"https://doi.org/10.1109/tmm.2019.2932615","mag":"2783258213"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2932615","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1801.05944","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100393714","display_name":"Qiao Liu","orcid":"https://orcid.org/0000-0003-0885-7976"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Liu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740560","display_name":"Zhenyu He","orcid":"https://orcid.org/0000-0001-5212-5882"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu He","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353702","display_name":"Xin Li","orcid":"https://orcid.org/0009-0004-0012-6874"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044357289","display_name":"Yuan Zheng","orcid":"https://orcid.org/0000-0002-8630-1917"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zheng","raw_affiliation_strings":["School of Computer Science, Inner Mongolia University, Huhehot, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Inner Mongolia University, Huhehot, China","institution_ids":["https://openalex.org/I2722730"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.215,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":45,"citation_normalized_percentile":{"value":0.999941,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"22","issue":"3","first_page":"666","last_page":"675"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9999,"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":0.9999,"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":0.9944,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9847,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8704843},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8324549},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.5827459},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5493202},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.4571507},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.43188554},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42725903}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8704843},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8324549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81400657},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6473396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6198536},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.5827459},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5493202},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46559393},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.4571507},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.43188554},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42725903},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.3423701},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33993977},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33923227},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2932615","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1801.05944","pdf_url":"https://arxiv.org/pdf/1801.05944","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.1801.05944","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1801.05944","pdf_url":"https://arxiv.org/pdf/1801.05944","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.58}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61672183"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61502119"},{"funder":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province","award_id":"2015A030313544"}],"datasets":[],"versions":["https://openalex.org/W2783258213","https://openalex.org/W3105117126"],"referenced_works_count":57,"referenced_works":["https://openalex.org/W134197611","https://openalex.org/W1513008779","https://openalex.org/W1686810756","https://openalex.org/W1955741794","https://openalex.org/W1997121481","https://openalex.org/W1999621311","https://openalex.org/W2000326692","https://openalex.org/W2003683977","https://openalex.org/W2005181468","https://openalex.org/W2012402259","https://openalex.org/W2015148749","https://openalex.org/W2021794943","https://openalex.org/W2060745441","https://openalex.org/W2060814785","https://openalex.org/W2066941820","https://openalex.org/W2071288975","https://openalex.org/W2077520767","https://openalex.org/W2088187373","https://openalex.org/W2089961441","https://openalex.org/W2097117768","https://openalex.org/W2097290407","https://openalex.org/W2098495810","https://openalex.org/W2115574509","https://openalex.org/W2118345389","https://openalex.org/W2124386111","https://openalex.org/W2133984628","https://openalex.org/W2148264622","https://openalex.org/W2154889144","https://openalex.org/W2156137575","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2167089254","https://openalex.org/W2183598498","https://openalex.org/W2194775991","https://openalex.org/W2220822028","https://openalex.org/W2247229935","https://openalex.org/W2298605637","https://openalex.org/W2308101195","https://openalex.org/W2343187456","https://openalex.org/W2400262625","https://openalex.org/W2415234561","https://openalex.org/W2473868734","https://openalex.org/W2477047852","https://openalex.org/W2504776002","https://openalex.org/W2522601641","https://openalex.org/W2523139420","https://openalex.org/W2556556019","https://openalex.org/W2570541895","https://openalex.org/W2577056945","https://openalex.org/W2607011617","https://openalex.org/W2737362155","https://openalex.org/W2791052411","https://openalex.org/W2802896860","https://openalex.org/W2899682933","https://openalex.org/W2902767594","https://openalex.org/W3102624093","https://openalex.org/W783096245"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2954509079","https://openalex.org/W2909390414","https://openalex.org/W2753886513","https://openalex.org/W2511178891","https://openalex.org/W2272545788","https://openalex.org/W2126676984","https://openalex.org/W2070920257","https://openalex.org/W178060743","https://openalex.org/W1765993298"],"abstract_inverted_index":{"Thermal":[0],"infrared":[1],"(TIR)":[2],"pedestrian":[3,35,64,70,137],"tracking":[4,65],"is":[5,42,52],"one":[6],"of":[7,14,47,124,174],"the":[8,33,45,68,89,96,101,120,135,169],"important":[9],"components":[10],"among":[11],"numerous":[12],"applications":[13],"computer":[15],"vision,":[16],"which":[17],"has":[18,84],"a":[19,39,54,62],"major":[20],"advantage:":[21],"it":[22],"can":[23,188],"track":[24],"pedestrians":[25],"in":[26,128],"total":[27],"darkness.":[28],"The":[29,73,114,172,183],"ability":[30],"to":[31,95,130,163],"evaluate":[32],"TIR":[34,63,69,136],"tracker":[36,71],"fairly,":[37],"on":[38,105,159],"benchmark":[40,55,107,161],"dataset,":[41,97],"significant":[43],"for":[44,67,88,180],"development":[46],"this":[48,58],"field.":[49],"However,":[50],"there":[51],"not":[53],"dataset.":[56],"In":[57,93],"paper,":[59],"we":[60,98,139,154],"develop":[61],"dataset":[66,74,108,162,184],"evaluation.":[72,92],"includes":[75],"60":[76],"thermal":[77],"sequences":[78],"with":[79],"manual":[80],"annotations.":[81],"Each":[82],"sequence":[83],"nine":[85,110],"attribute":[86,90],"labels":[87],"based":[91],"addition":[94],"carry":[99],"out":[100],"large-scale":[102],"evaluation":[103,186],"experiments":[104,158,176],"our":[106,160],"using":[109],"publicly":[111],"available":[112],"trackers.":[113],"experimental":[115],"results":[116],"help":[117],"us":[118],"understand":[119],"strengths":[121],"and":[122,150,185],"weaknesses":[123],"these":[125,175],"trackers.In":[126],"addition,":[127],"order":[129],"gain":[131],"more":[132],"insight":[133],"into":[134,143],"tracker,":[138],"divide":[140],"its":[141],"functions":[142],"three":[144,156],"components:":[145],"feature":[146],"extractor,":[147],"motion":[148],"model,":[149],"observation":[151],"model.":[152],"Then,":[153],"conduct":[155],"comparison":[157],"validate":[164],"how":[165],"each":[166],"component":[167],"affects":[168],"tracker's":[170],"performance.":[171],"findings":[173],"provide":[177],"some":[178],"guidelines":[179],"future":[181],"research.":[182],"toolkit":[187],"be":[189],"downloaded":[190],"at":[191],"{https://github.com/QiaoLiuHit/PTB-TIR_Evaluation_toolkit}.":[192]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2783258213","counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2024-12-30T10:59:04.929406","created_date":"2018-01-26"}