{"id":"https://openalex.org/W3032225021","doi":"https://doi.org/10.1145/3383972.3383995","title":"Detection of Failure Updation and Correction for Visual Tracking with Kernalized Correlation Filter","display_name":"Detection of Failure Updation and Correction for Visual Tracking with Kernalized Correlation Filter","publication_year":2020,"publication_date":"2020-02-15","ids":{"openalex":"https://openalex.org/W3032225021","doi":"https://doi.org/10.1145/3383972.3383995","mag":"3032225021"},"language":"en","primary_location":{"id":"doi:10.1145/3383972.3383995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3383995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","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/A5051377976","display_name":"Fahad Rafique","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fahad Rafique","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600009","display_name":"Liying Zheng","orcid":"https://orcid.org/0000-0003-2073-4194"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liying Zheng","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010801987","display_name":"Achref Benarab","orcid":"https://orcid.org/0000-0002-8016-9118"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Achref Benarab","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091142729","display_name":"Muhammad Hafeez Javed","orcid":"https://orcid.org/0000-0002-4388-6062"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muhammad Hafeez Javed","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04749297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"346","last_page":"351"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9902999997138977,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9858999848365784,"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/tracking","display_name":"Tracking (education)","score":0.7207018136978149},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7171124815940857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6584681272506714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6479833722114563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6330397129058838},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6157498359680176},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5526759624481201},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5447857975959778},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5440430641174316},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.46271273493766785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3512535095214844},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3056386709213257},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19068282842636108}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7207018136978149},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7171124815940857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6584681272506714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6479833722114563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6330397129058838},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6157498359680176},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5526759624481201},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5447857975959778},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5440430641174316},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.46271273493766785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3512535095214844},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3056386709213257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19068282842636108},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3383972.3383995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3383995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W182940129","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2010181071","https://openalex.org/W2023640470","https://openalex.org/W2044986361","https://openalex.org/W2089961441","https://openalex.org/W2124211486","https://openalex.org/W2126302311","https://openalex.org/W2129305389","https://openalex.org/W2147347568","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2161969291","https://openalex.org/W2194002514","https://openalex.org/W2244252896","https://openalex.org/W2315643162","https://openalex.org/W2317058546","https://openalex.org/W2474599091","https://openalex.org/W2737839999","https://openalex.org/W2767302379","https://openalex.org/W2962864296","https://openalex.org/W2963249584","https://openalex.org/W2964111344"],"related_works":["https://openalex.org/W2518876086","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/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W2070920257"],"abstract_inverted_index":{"Correlation":[0],"filter":[1,26,56],"based":[2],"trackers":[3,27],"have":[4],"tremendous":[5],"results":[6,90],"in":[7,96],"the":[8,40,68,93,103],"field":[9],"of":[10,36,72,77,98],"object":[11,20],"tracking.":[12],"There":[13],"are":[14,85],"still":[15],"challenging":[16],"situations":[17,23],"to":[18,28],"track":[19],"correctly.":[21],"Such":[22],"lead":[24],"correlation":[25,55,64,105],"lose":[29],"tracking":[30,41,60,80],"and":[31,83,113],"there":[32],"is":[33],"less":[34],"mechanism":[35],"re-detection.":[37],"By":[38],"analyzing":[39,63],"failures":[42,61],"this":[43],"paper":[44],"proposes":[45],"an":[46],"algorithm":[47,95],"having":[48],"four":[49],"steps:":[50],"1)":[51],"Track":[52],"target":[53,69],"through":[54],"tracker.":[57],"2)":[58],"Detect":[59],"by":[62,70],"values.":[65],"3)":[66],"Re-detect":[67],"generation":[71],"region":[73],"proposals.":[74],"4)":[75],"Updation":[76],"model.":[78],"Object":[79],"benchmark":[81],"2013":[82],"2015":[84],"used":[86],"for":[87],"experiments.":[88],"Experimental":[89],"shows":[91],"that":[92],"proposed":[94],"terms":[97],"accuracy":[99],"performs":[100],"better":[101],"than":[102],"kernalized":[104],"filter,":[106],"Staple,":[107],"DSST,":[108],"CNT,":[109],"TLD,":[110],"STRUCK,":[111],"CSK":[112],"CXT.":[114]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
