{"id":"https://openalex.org/W1900239115","doi":"https://doi.org/10.1109/tip.2016.2520370","title":"Visual Object Tracking Performance Measures Revisited","display_name":"Visual Object Tracking Performance Measures Revisited","publication_year":2016,"publication_date":"2016-01-21","ids":{"openalex":"https://openalex.org/W1900239115","doi":"https://doi.org/10.1109/tip.2016.2520370","mag":"1900239115","pmid":"https://pubmed.ncbi.nlm.nih.gov/26812723"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2016.2520370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2520370","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1502.05803","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Luka \u010cehovin","orcid":null},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Luka \u010cehovin","raw_affiliation_strings":["Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ale\u0161 Leonardis","orcid":null},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Ale\u0161 Leonardis","raw_affiliation_strings":["Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]},{"author_position":"last","author":{"id":null,"display_name":"Matej Kristan","orcid":null},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Matej Kristan","raw_affiliation_strings":["Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153976015"],"apc_list":null,"apc_paid":null,"fwci":13.0929,"has_fulltext":false,"cited_by_count":167,"citation_normalized_percentile":{"value":0.9914841,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"25","issue":"3","first_page":"1261","last_page":"1274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9376000165939331,"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":0.9376000165939331,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.023600000888109207,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.002899999963119626,"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/tracking","display_name":"Tracking (education)","score":0.6137999892234802},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.613099992275238},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5785999894142151},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5144000053405762},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.40369999408721924},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.3903000056743622}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7470999956130981},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7354000210762024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6740000247955322},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6137999892234802},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.613099992275238},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5785999894142151},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5144000053405762},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.40369999408721924},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3903000056743622},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.37070000171661377},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3637999892234802},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3476000130176544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.250900000333786}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2016.2520370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2520370","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:26812723","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26812723","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,"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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:1502.05803","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.05803","pdf_url":"https://arxiv.org/pdf/1502.05803","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/ca81e21a-ab9a-448f-8f33-b6f851c48df4","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/ca81e21a-ab9a-448f-8f33-b6f851c48df4","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cehovin, L, Leonardis, A & Kristan, M 2016, 'Visual object tracking performance measures revisited', IEEE Transactions on Image Processing , vol. 25, no. 3, pp. 1261-1274. https://doi.org/10.1109/TIP.2016.2520370","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1502.05803","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.05803","pdf_url":"https://arxiv.org/pdf/1502.05803","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W1513768190","https://openalex.org/W1581210256","https://openalex.org/W1904741086","https://openalex.org/W1915599933","https://openalex.org/W1955514522","https://openalex.org/W1981219153","https://openalex.org/W1998270547","https://openalex.org/W2000326692","https://openalex.org/W2003060733","https://openalex.org/W2010866345","https://openalex.org/W2018646616","https://openalex.org/W2020314295","https://openalex.org/W2031489346","https://openalex.org/W2065392741","https://openalex.org/W2074143295","https://openalex.org/W2089961441","https://openalex.org/W2096533418","https://openalex.org/W2096590953","https://openalex.org/W2098854771","https://openalex.org/W2098941887","https://openalex.org/W2109579504","https://openalex.org/W2112329933","https://openalex.org/W2113926057","https://openalex.org/W2118897962","https://openalex.org/W2120927021","https://openalex.org/W2121158263","https://openalex.org/W2121193292","https://openalex.org/W2125378844","https://openalex.org/W2126108553","https://openalex.org/W2126302311","https://openalex.org/W2139047213","https://openalex.org/W2140354772","https://openalex.org/W2140595412","https://openalex.org/W2141822239","https://openalex.org/W2147253850","https://openalex.org/W2147533695","https://openalex.org/W2154889144","https://openalex.org/W2156547441","https://openalex.org/W2158698691","https://openalex.org/W2165232124","https://openalex.org/W2168300411","https://openalex.org/W2168802423","https://openalex.org/W2915935370","https://openalex.org/W6603392318","https://openalex.org/W6629141386","https://openalex.org/W6665839387","https://openalex.org/W6679027886","https://openalex.org/W6680305447","https://openalex.org/W6684332838"],"related_works":["https://openalex.org/W2789220062","https://openalex.org/W2740242884","https://openalex.org/W2385949326","https://openalex.org/W2223150215","https://openalex.org/W2422898642","https://openalex.org/W2534746541","https://openalex.org/W2185534064","https://openalex.org/W2820058250","https://openalex.org/W2352586926","https://openalex.org/W2040965325"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,11,19,87,113,129],"visual":[3,150],"tracking":[4,47,56,152],"evaluation":[5,132,159],"is":[6],"sporting":[7],"a":[8],"large":[9],"variety":[10],"performance":[12,65,69],"measures,":[13],"and":[14,67,71,75,123,141,143],"largely":[15],"suffers":[16],"from":[17,84],"lack":[18],"consensus":[20],"about":[21],"which":[22],"measures":[23,39,66,81,115,136],"should":[24],"be":[25,41,50,138],"used":[26],"in":[27],"experiments.":[28],"This":[29],"makes":[30],"the":[31,46,63,85,102,111,130,148,155,158],"cross-paper":[32],"tracker":[33,68,92,131],"comparison":[34,93],"difficult.":[35],"Furthermore,":[36],"as":[37,154],"some":[38,97],"may":[40,49],"less":[42],"effective":[43],"than":[44,101],"others,":[45],"results":[48],"skewed":[51],"or":[52],"biased":[53],"toward":[54,127],"particular":[55],"aspects.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,108],"revisit":[62],"popular":[64],"visualizations":[70],"analyze":[72],"them":[73],"theoretically":[74],"experimentally.":[76],"We":[77],"show":[78],"that":[79,96],"several":[80],"are":[82,98],"equivalent":[83],"point":[86],"information":[88],"they":[89],"provide":[90],"for":[91,157],"and,":[94],"crucially,":[95],"more":[99],"brittle":[100],"others.":[103],"Based":[104],"on":[105],"our":[106],"analysis,":[107],"narrow":[109],"down":[110],"set":[112],"potential":[114],"to":[116],"only":[117],"two":[118,135],"complementary":[119],"ones,":[120],"describing":[121],"accuracy":[122],"robustness,":[124],"thus":[125],"pushing":[126],"homogenization":[128],"methodology.":[133,160],"These":[134],"can":[137],"intuitively":[139],"interpreted":[140],"visualized":[142],"have":[144],"been":[145],"employed":[146],"by":[147],"recent":[149],"object":[151],"challenges":[153],"foundation":[156]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":26},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
