{"id":"https://openalex.org/W2556792589","doi":"https://doi.org/10.1109/avss.2016.7738031","title":"Ensemble Of adaptive correlation filters for robust visual tracking","display_name":"Ensemble Of adaptive correlation filters for robust visual tracking","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2556792589","doi":"https://doi.org/10.1109/avss.2016.7738031","mag":"2556792589"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2016.7738031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2016.7738031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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/A5009924357","display_name":"Erhan G\u00fcndo\u011fdu","orcid":"https://orcid.org/0000-0003-3416-5842"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]},{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erhan Gundogdu","raw_affiliation_strings":["Electrical and Electronics Eng. Dept., METU, Ankara, Turkey","Intelligent Data Analytics Research Program Dept., Aselsan Research Center, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Eng. Dept., METU, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]},{"raw_affiliation_string":"Intelligent Data Analytics Research Program Dept., Aselsan Research Center, Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035853332","display_name":"H\u00fcseyin \u00d6zkan","orcid":"https://orcid.org/0000-0002-5539-9085"},"institutions":[{"id":"https://openalex.org/I4210104429","display_name":"Institute of Cognitive and Brain Sciences","ror":"https://ror.org/01c3w3270","country_code":"US","type":"education","lineage":["https://openalex.org/I4210104429"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huseyin Ozkan","raw_affiliation_strings":["Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, MA, USA","institution_ids":["https://openalex.org/I4210104429","https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070112256","display_name":"A. Ayd\u0131n Alatan","orcid":"https://orcid.org/0000-0001-5556-7301"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"A. Aydin Alatan","raw_affiliation_strings":["Center for Image Analysis (OGAM)","Electrical and Electronics Eng. Dept., METU, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Image Analysis (OGAM)","institution_ids":[]},{"raw_affiliation_string":"Electrical and Electronics Eng. Dept., METU, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6761,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78213863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"37","issue":null,"first_page":"15","last_page":"22"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9980000257492065,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9909999966621399,"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/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8090764284133911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7224650382995605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7174105644226074},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6797357797622681},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6051420569419861},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5866807699203491},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5744451284408569},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5644004940986633},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5247274041175842},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.49777963757514954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47647425532341003},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46627381443977356},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4552222490310669},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.42218101024627686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19246256351470947},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14327523112297058}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8090764284133911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7224650382995605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7174105644226074},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6797357797622681},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6051420569419861},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5866807699203491},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5744451284408569},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5644004940986633},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5247274041175842},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.49777963757514954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47647425532341003},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46627381443977356},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4552222490310669},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.42218101024627686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19246256351470947},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14327523112297058},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"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":"doi:10.1109/avss.2016.7738031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2016.7738031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/41060","is_oa":false,"landing_page_url":"https://hdl.handle.net/11511/41060","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W161114242","https://openalex.org/W182940129","https://openalex.org/W818325216","https://openalex.org/W1538712971","https://openalex.org/W1570963478","https://openalex.org/W1581557592","https://openalex.org/W1738124305","https://openalex.org/W1908905119","https://openalex.org/W1914092751","https://openalex.org/W1937954682","https://openalex.org/W1964846093","https://openalex.org/W1967973024","https://openalex.org/W1997121481","https://openalex.org/W2000326692","https://openalex.org/W2016075127","https://openalex.org/W2024657922","https://openalex.org/W2051832123","https://openalex.org/W2053462008","https://openalex.org/W2060814785","https://openalex.org/W2066334462","https://openalex.org/W2089961441","https://openalex.org/W2098854771","https://openalex.org/W2098941887","https://openalex.org/W2105403175","https://openalex.org/W2112396831","https://openalex.org/W2118508489","https://openalex.org/W2121193292","https://openalex.org/W2129812935","https://openalex.org/W2130026429","https://openalex.org/W2132103241","https://openalex.org/W2138993974","https://openalex.org/W2139047213","https://openalex.org/W2154889144","https://openalex.org/W2155817051","https://openalex.org/W2161160446","https://openalex.org/W2163532725","https://openalex.org/W2165037244","https://openalex.org/W2167089254","https://openalex.org/W2183648259","https://openalex.org/W2186330282","https://openalex.org/W2233847161","https://openalex.org/W2244252896","https://openalex.org/W2293873019","https://openalex.org/W2317058546","https://openalex.org/W2337893107","https://openalex.org/W2495062528","https://openalex.org/W2964229844","https://openalex.org/W2986028972","https://openalex.org/W4231340930","https://openalex.org/W6623108133","https://openalex.org/W6679027886","https://openalex.org/W6684274140","https://openalex.org/W6686234685","https://openalex.org/W6723273732"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W3104472694","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W1765993298"],"abstract_inverted_index":{"Correlation":[0],"filters":[1],"have":[2],"recently":[3],"been":[4],"popular":[5],"due":[6,41],"to":[7,42,55],"their":[8,17],"success":[9],"in":[10,85,119,141],"short-term":[11],"single-object":[12],"tracking":[13,30,112],"as":[14,16],"well":[15],"computational":[18],"efficiency.":[19],"Nevertheless,":[20],"the":[21,34,38,43,76,86,95,100,107,120,135],"appearance":[22,88],"model":[23],"of":[24,37,72,116,138],"a":[25,65,81],"single":[26],"correlation":[27,73],"filter":[28],"based":[29],"algorithm":[31],"quickly":[32],"forgets":[33],"past":[35],"poses":[36],"target":[39],"object":[40,87,109],"updates":[44],"over":[45],"time.":[46],"To":[47],"overcome":[48],"this":[49],"undesired":[50],"forgetting,":[51],"our":[52,139],"approach":[53],"is":[54,78,114,130],"run":[56],"trackers":[57,97],"with":[58],"separate":[59],"models":[60],"simultaneously.":[61],"Hence,":[62],"we":[63,133],"propose":[64],"novel":[66],"tracker":[67],"relying":[68],"on":[69,106],"an":[70,123],"ensemble":[71,77,96],"filters,":[74],"where":[75],"obtained":[79],"via":[80],"decision":[82],"tree":[83],"partitioning":[84],"space.":[89],"Our":[90,111],"technique":[91],"efficiently":[92],"searches":[93],"among":[94],"and":[98,126],"activates":[99],"ones":[101],"which":[102],"are":[103],"most":[104],"specialized":[105],"current":[108],"appearance.":[110],"method":[113,140],"capable":[115],"switching":[117],"frequently":[118],"ensemble.":[121],"Thus,":[122],"inherently":[124],"adaptive":[125],"non-linear":[127],"learning":[128],"rate":[129],"achieved.":[131],"Moreover,":[132],"demonstrate":[134],"superior":[136],"performance":[137],"benchmark":[142],"video":[143],"sequences.":[144]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}