{"id":"https://openalex.org/W2731014210","doi":"https://doi.org/10.1109/siu.2017.7960179","title":"Robust object tracking using alternative correlation filters","display_name":"Robust object tracking using alternative correlation filters","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2731014210","doi":"https://doi.org/10.1109/siu.2017.7960179","mag":"2731014210"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040402562","display_name":"Kemal Batuhan Baskurt","orcid":"https://orcid.org/0000-0003-3381-4935"},"institutions":[{"id":"https://openalex.org/I149218525","display_name":"Ankara University","ror":"https://ror.org/01wntqw50","country_code":"TR","type":"education","lineage":["https://openalex.org/I149218525"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Kemal Batuhan Baskurt","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Ankara \u00dcniversitesi, Ankara, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Ankara \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I149218525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078170726","display_name":"Refik Samet","orcid":"https://orcid.org/0000-0001-8720-6834"},"institutions":[{"id":"https://openalex.org/I149218525","display_name":"Ankara University","ror":"https://ror.org/01wntqw50","country_code":"TR","type":"education","lineage":["https://openalex.org/I149218525"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Refik Samet","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Ankara \u00dcniversitesi, Ankara, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Ankara \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I149218525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149218525"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"4"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9853000044822693,"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"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/robustness","display_name":"Robustness (evolution)","score":0.8330224752426147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7282274961471558},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6988070011138916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.689401388168335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.62349534034729},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6122976541519165},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5845271348953247},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5752426981925964},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49502652883529663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4007285237312317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23743483424186707},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.057901471853256226}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8330224752426147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7282274961471558},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6988070011138916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.689401388168335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62349534034729},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6122976541519165},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5845271348953247},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5752426981925964},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49502652883529663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4007285237312317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23743483424186707},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.057901471853256226},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2017.7960179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1857884451","https://openalex.org/W1915599933","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2035379092","https://openalex.org/W2072348815","https://openalex.org/W2098941887","https://openalex.org/W2126302311","https://openalex.org/W2130026429","https://openalex.org/W2131076267","https://openalex.org/W2147533695","https://openalex.org/W2158592639","https://openalex.org/W2159128898","https://openalex.org/W2161969291","https://openalex.org/W2163444458","https://openalex.org/W2916780012","https://openalex.org/W6638969170","https://openalex.org/W6649598916","https://openalex.org/W6679027886"],"related_works":["https://openalex.org/W2542007731","https://openalex.org/W4285271403","https://openalex.org/W2968379562","https://openalex.org/W3156013036","https://openalex.org/W4388689193","https://openalex.org/W2892070025","https://openalex.org/W29633852","https://openalex.org/W2091015105","https://openalex.org/W2985362983","https://openalex.org/W2110899030"],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"an":[3],"unsupervised":[4],"real-time":[5],"object":[6,21],"tracking":[7,22,64,77],"method":[8,55,84],"that":[9],"is":[10,23,65,85],"minimally":[11],"affected":[12],"from":[13],"environmental":[14],"conditions":[15],"and":[16,34,59,93],"target's":[17],"appearance":[18],"changes.":[19,61],"Proposed":[20,83],"realized":[24],"by":[25,67],"two":[26],"independent":[27],"correlation":[28,37,72],"filters":[29,38,73],"which":[30],"are":[31,45,95],"estimating":[32],"location":[33],"scale.":[35],"Alternative":[36],"representing":[39],"different":[40],"appearances":[41],"of":[42,53,63,76],"the":[43,54],"target":[44,60],"also":[46],"used":[47],"in":[48],"order":[49],"to":[50,57,80],"increase":[51],"robustness":[52],"across":[56],"scene":[58],"Sustainability":[62],"provided":[66],"putting":[68],"into":[69],"use":[70],"alternative":[71],"when":[74],"quality":[75],"output":[78],"decreases":[79],"critical":[81],"level.":[82],"tested":[86],"on":[87],"Object":[88],"Tracking":[89],"Benchmark":[90],"(OTB)":[91],"dataset":[92],"results":[94],"shared.":[96]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}