{"id":"https://openalex.org/W3092043504","doi":"https://doi.org/10.3233/jifs-192172","title":"Fast motion tracking based on moth-flame optimization and kernel correlation filter","display_name":"Fast motion tracking based on moth-flame optimization and kernel correlation filter","publication_year":2020,"publication_date":"2020-10-07","ids":{"openalex":"https://openalex.org/W3092043504","doi":"https://doi.org/10.3233/jifs-192172","mag":"3092043504"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-192172","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-192172","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5101996550","display_name":"Yibin Chen","orcid":"https://orcid.org/0009-0004-0587-0379"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibin Chen","raw_affiliation_strings":["College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010077240","display_name":"Guohao Nie","orcid":"https://orcid.org/0000-0002-5341-4122"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohao Nie","raw_affiliation_strings":["College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005591242","display_name":"Huanlong Zhang","orcid":"https://orcid.org/0000-0002-5130-5555"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huanlong Zhang","raw_affiliation_strings":["College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023421738","display_name":"Yuxing Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxing Feng","raw_affiliation_strings":["College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029335699","display_name":"Guanglu Yang","orcid":"https://orcid.org/0000-0002-6695-4638"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanglu Yang","raw_affiliation_strings":["Nanyang Cigarette Factory, China Tobacco Henan Industrial Co., Ltd., Nanyang, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Cigarette Factory, China Tobacco Henan Industrial Co., Ltd., Nanyang, Henan, China","institution_ids":["https://openalex.org/I2800556661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005591242","https://openalex.org/A5029335699"],"corresponding_institution_ids":["https://openalex.org/I23171815","https://openalex.org/I2800556661"],"apc_list":null,"apc_paid":null,"fwci":0.0958,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40308847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"39","issue":"3","first_page":"3825","last_page":"3837"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9872999787330627,"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":0.986299991607666,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6648147106170654},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6503846645355225},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5867485404014587},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5668790340423584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5629929304122925},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5374631881713867},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5334693789482117},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4728142321109772},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4559505581855774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4286413788795471}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6648147106170654},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6503846645355225},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5867485404014587},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5668790340423584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5629929304122925},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5374631881713867},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5334693789482117},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4728142321109772},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4559505581855774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4286413788795471},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-192172","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-192172","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W182940129","https://openalex.org/W818325216","https://openalex.org/W883434633","https://openalex.org/W1686810756","https://openalex.org/W1904671147","https://openalex.org/W1955514522","https://openalex.org/W1964846093","https://openalex.org/W1994811528","https://openalex.org/W1997121481","https://openalex.org/W2024657922","https://openalex.org/W2027021064","https://openalex.org/W2089961441","https://openalex.org/W2126302311","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2158827467","https://openalex.org/W2170858806","https://openalex.org/W2188226927","https://openalex.org/W2211010639","https://openalex.org/W2214352687","https://openalex.org/W2560753397","https://openalex.org/W2589002978","https://openalex.org/W2591261030","https://openalex.org/W2605381261","https://openalex.org/W2606221507","https://openalex.org/W2681067697","https://openalex.org/W2734342834","https://openalex.org/W2760639395","https://openalex.org/W2765540984","https://openalex.org/W2770189358","https://openalex.org/W2770904094","https://openalex.org/W2785190610","https://openalex.org/W2790710691","https://openalex.org/W2791884362","https://openalex.org/W2793848224","https://openalex.org/W2798086591","https://openalex.org/W2964111344","https://openalex.org/W3102624093","https://openalex.org/W6639878047","https://openalex.org/W6640929031","https://openalex.org/W6656743466","https://openalex.org/W6657014169","https://openalex.org/W6673240527","https://openalex.org/W6678515836","https://openalex.org/W6740021017"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W2215635302"],"abstract_inverted_index":{"Kernel":[0],"Correlation":[1],"Filter":[2],"(KCF)":[3],"tracker":[4,115],"has":[5,87],"shown":[6],"great":[7],"potential":[8],"on":[9,127,153],"precision,":[10],"robustness":[11],"and":[12,110,144,146,151,156,166],"efficiency.":[13],"However,":[14],"the":[15,21,31,35,56,71,88,97,104,108,112,139,154,164,170],"candidate":[16,72],"region":[17],"used":[18],"to":[19,39,65,84,102,116],"train":[20],"correlation":[22,100],"filter":[23,101],"is":[24,28,48,61,79,125],"fixed,":[25],"so":[26],"tracking":[27,64,77,120],"difficult":[29],"when":[30],"target":[32],"escapes":[33],"from":[34],"search":[36,66],"window":[37],"due":[38],"fast":[40,91,177],"motion.":[41,180],"In":[42],"this":[43],"paper,":[44],"an":[45],"improved":[46,113],"KCF":[47,76,114],"put":[49],"forward":[50],"for":[51,67,137],"long-term":[52],"tracking.":[53,93],"At":[54],"first,":[55],"moth-flame":[57],"optimization":[58],"(MFO)":[59],"algorithm":[60,83,124],"introduced":[62],"into":[63],"lost":[68],"target.":[69],"Then,":[70],"sample":[73],"strategy":[74],"of":[75,90,107],"method":[78,134],"adjusted":[80],"by":[81],"MFO":[82],"make":[85],"it":[86],"capability":[89],"motion":[92],"Finally,":[94],"we":[95],"use":[96],"conservative":[98],"learning":[99],"judge":[103],"moving":[105],"state":[106],"target,":[109],"combine":[111],"form":[117],"a":[118,128],"unified":[119],"framework.":[121],"The":[122,161],"proposed":[123],"tested":[126],"self-made":[129],"dataset":[130],"benchmark.":[131],"Moreover,":[132],"our":[133],"obtains":[135],"scores":[136],"both":[138],"distance":[140],"precision":[141],"plot":[142],"(0.891":[143],"0.842)":[145],"overlap":[147],"success":[148],"plots":[149],"(0.631":[150],"0.601)":[152],"OTB-2013":[155],"OTB-2015":[157],"data":[158],"sets,":[159],"respectively.":[160],"results":[162],"demonstrate":[163],"feasibility":[165],"effectiveness":[167],"compared":[168],"with":[169,176],"state-of-the-art":[171],"methods,":[172],"especially":[173],"in":[174],"dealing":[175],"or":[178],"uncertain":[179]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}