{"id":"https://openalex.org/W2520477759","doi":"https://doi.org/10.1109/tpami.2016.2609928","title":"Discriminative Scale Space Tracking","display_name":"Discriminative Scale Space Tracking","publication_year":2016,"publication_date":"2016-09-15","ids":{"openalex":"https://openalex.org/W2520477759","doi":"https://doi.org/10.1109/tpami.2016.2609928","mag":"2520477759","pmid":"https://pubmed.ncbi.nlm.nih.gov/27654137"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2016.2609928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2016.2609928","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,"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"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139382","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068158266","display_name":"Martin Danelljan","orcid":"https://orcid.org/0000-0001-6144-9520"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Martin Danelljan","raw_affiliation_strings":["Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006631854","display_name":"G Hager","orcid":"https://orcid.org/0000-0001-6199-9362"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Gustav Hager","raw_affiliation_strings":["Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760570","display_name":"Fahad Shahbaz Khan","orcid":"https://orcid.org/0000-0002-4263-3143"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Fahad Shahbaz Khan","raw_affiliation_strings":["Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042087981","display_name":"Michael Felsberg","orcid":"https://orcid.org/0000-0002-6096-3648"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Michael Felsberg","raw_affiliation_strings":["Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102134673"],"apc_list":null,"apc_paid":null,"fwci":82.4855,"has_fulltext":false,"cited_by_count":1336,"citation_normalized_percentile":{"value":0.99957492,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"39","issue":"8","first_page":"1561","last_page":"1575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9890000224113464,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9818000197410583,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7197609543800354},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.716791033744812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6304234266281128},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.6211293935775757},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5525863766670227},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5172408223152161},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4673624038696289},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4510088860988617},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.17064723372459412},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11992248892784119},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09533661603927612}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7197609543800354},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.716791033744812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6304234266281128},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.6211293935775757},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5525863766670227},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5172408223152161},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4673624038696289},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4510088860988617},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.17064723372459412},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11992248892784119},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09533661603927612},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2016.2609928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2016.2609928","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,"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:27654137","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27654137","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 pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:DiVA.org:liu-139382","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139382","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:liu-139382","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139382","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308678","display_name":"EMC","ror":"https://ror.org/03w4phb31"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320320561","display_name":"Fellowships Fund Incorporated","ror":"https://ror.org/04aphzs78"},{"id":"https://openalex.org/F4320320940","display_name":"Stiftelsen f\u00f6r\u00a0Strategisk Forskning","ror":"https://ror.org/044wr7g58"},{"id":"https://openalex.org/F4320321551","display_name":"Chongqing University of Arts and Sciences","ror":"https://ror.org/01rcvq140"},{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"},{"id":"https://openalex.org/F4320336380","display_name":"National Supercomputer Centre, Link\u00f6pings Universitet","ror":null},{"id":"https://openalex.org/F7358025515","display_name":"Fordonsstrategisk Forskning och Innovation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W818325216","https://openalex.org/W1513768190","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2001785244","https://openalex.org/W2004506571","https://openalex.org/W2016075127","https://openalex.org/W2023640470","https://openalex.org/W2027021064","https://openalex.org/W2044986361","https://openalex.org/W2060814785","https://openalex.org/W2066513304","https://openalex.org/W2075742732","https://openalex.org/W2089961441","https://openalex.org/W2098941887","https://openalex.org/W2105403175","https://openalex.org/W2108215708","https://openalex.org/W2121193292","https://openalex.org/W2137097255","https://openalex.org/W2139047213","https://openalex.org/W2144992113","https://openalex.org/W2147533695","https://openalex.org/W2149829493","https://openalex.org/W2154429285","https://openalex.org/W2154889144","https://openalex.org/W2157452486","https://openalex.org/W2162349892","https://openalex.org/W2162383208","https://openalex.org/W2165037244","https://openalex.org/W2167089254","https://openalex.org/W2168356304","https://openalex.org/W2179139958","https://openalex.org/W2186330282","https://openalex.org/W2916780012","https://openalex.org/W4229706427","https://openalex.org/W6606595081","https://openalex.org/W6630587866","https://openalex.org/W6649598916","https://openalex.org/W6665839387","https://openalex.org/W6675521158","https://openalex.org/W6679027886","https://openalex.org/W6683886257","https://openalex.org/W6684274140","https://openalex.org/W6684332838","https://openalex.org/W6685328683"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2404514746","https://openalex.org/W1652783584","https://openalex.org/W2082783427","https://openalex.org/W2025212468","https://openalex.org/W1576223881","https://openalex.org/W4313341912","https://openalex.org/W2352799515","https://openalex.org/W2350469043"],"abstract_inverted_index":{"Accurate":[0],"scale":[1,21,41,52,62,75,79,141,177],"estimation":[2,53],"of":[3,48,92,122,148],"a":[4,7,55,60,90,146,167],"target":[5,26,86,111],"is":[6,32,81,162],"challenging":[8],"research":[9],"problem":[10,47],"in":[11,54,109,151,185],"visual":[12],"object":[13],"tracking.":[14],"Most":[15],"state-of-the-art":[16,190,196],"methods":[17],"employ":[18],"an":[19],"exhaustive":[20,29,140,176],"search":[22,30],"to":[23,96,117,137,174],"estimate":[24],"the":[25,46,85,103,110,119,130,133,138,156,175,182],"size.":[27],"The":[28,77],"strategy":[31],"computationally":[33,163],"expensive":[34],"and":[35,50,74,132,194],"struggles":[36],"when":[37],"encountered":[38],"with":[39],"large":[40],"variations.":[42],"This":[43],"paper":[44],"investigates":[45],"accurate":[49],"robust":[51],"tracking-by-detection":[56],"framework.":[57],"We":[58],"propose":[59],"novel":[61],"adaptive":[63],"tracking":[64],"approach":[65,144],"by":[66,107,187],"learning":[67],"separate":[68],"discriminative":[69],"correlation":[70],"filters":[71],"for":[72],"translation":[73],"estimation.":[76],"explicit":[78],"filter":[80],"learned":[82],"online":[83],"using":[84],"appearance":[87,104],"sampled":[88],"at":[89,166],"set":[91],"different":[93],"scales.":[94],"Contrary":[95],"standard":[97,139],"approaches,":[98],"our":[99,123,143,160],"method":[100,161,180],"directly":[101],"learns":[102],"change":[105],"induced":[106],"variations":[108],"scale.":[112],"Additionally,":[113,159],"we":[114],"investigate":[115],"strategies":[116],"reduce":[118],"computational":[120],"cost":[121],"approach.":[124],"Extensive":[125],"experiments":[126],"are":[127],"performed":[128],"on":[129,155,192,198],"OTB":[131,157,193],"VOT2014":[134],"datasets.":[135],"Compared":[136],"search,":[142],"achieves":[145],"gain":[147],"2.5":[149],"percent":[150,169],"average":[152],"overlap":[153],"precision":[154],"dataset.":[158],"efficient,":[164],"operating":[165],"50":[168],"higher":[170],"frame":[171],"rate":[172],"compared":[173],"search.":[178],"Our":[179],"obtains":[181],"top":[183],"rank":[184],"performance":[186],"outperforming":[188],"19":[189],"trackers":[191,197],"37":[195],"VOT2014.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":26},{"year":2025,"cited_by_count":77},{"year":2024,"cited_by_count":99},{"year":2023,"cited_by_count":144},{"year":2022,"cited_by_count":185},{"year":2021,"cited_by_count":199},{"year":2020,"cited_by_count":206},{"year":2019,"cited_by_count":227},{"year":2018,"cited_by_count":136},{"year":2017,"cited_by_count":37}],"updated_date":"2026-08-08T07:41:36.138363","created_date":"2025-10-10T00:00:00"}
