{"id":"https://openalex.org/W2087713256","doi":"https://doi.org/10.1117/1.2201548","title":"Fuzzy logic recursive motion detection and denoising of video sequences","display_name":"Fuzzy logic recursive motion detection and denoising of video sequences","publication_year":2006,"publication_date":"2006-04-01","ids":{"openalex":"https://openalex.org/W2087713256","doi":"https://doi.org/10.1117/1.2201548","mag":"2087713256"},"language":"en","primary_location":{"id":"doi:10.1117/1.2201548","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.2201548","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","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/A5076894523","display_name":"Vladimir Zlokolica","orcid":"https://orcid.org/0000-0002-1068-2581"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Vladimir Zlokolica","raw_affiliation_strings":["Univ. Gent (Belgium)"],"affiliations":[{"raw_affiliation_string":"Univ. Gent (Belgium)","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076894523"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":3.7933,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93811908,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":"2","first_page":"023008","last_page":"023008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising 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/T10688","display_name":"Image and Signal Denoising 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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6621997952461243},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6284287571907043},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6211552023887634},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6064265370368958},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.5887519717216492},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5855034589767456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48914435505867004},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.4854000508785248},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.4488169252872467},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.43789276480674744},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.4315500259399414},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.41039809584617615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40254348516464233},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3773871660232544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32122352719306946},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.3012612760066986},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.27262669801712036},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.1865544319152832},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1639193296432495},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10879281163215637}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6621997952461243},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6284287571907043},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6211552023887634},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6064265370368958},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.5887519717216492},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5855034589767456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48914435505867004},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.4854000508785248},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.4488169252872467},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.43789276480674744},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4315500259399414},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.41039809584617615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40254348516464233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3773871660232544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32122352719306946},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3012612760066986},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.27262669801712036},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.1865544319152832},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1639193296432495},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10879281163215637},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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":2,"locations":[{"id":"doi:10.1117/1.2201548","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.2201548","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-article"},{"id":"pmh:oai:archive.ugent.be:351942","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/351942","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1017-9909","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1573546770","https://openalex.org/W1575429583","https://openalex.org/W1576504058","https://openalex.org/W1891609420","https://openalex.org/W2031836675","https://openalex.org/W2039205052","https://openalex.org/W2062706881","https://openalex.org/W2081071612","https://openalex.org/W2082149116","https://openalex.org/W2102625004","https://openalex.org/W2109548381","https://openalex.org/W2115616517","https://openalex.org/W2118108142","https://openalex.org/W2118489100","https://openalex.org/W2128770445","https://openalex.org/W2135887342","https://openalex.org/W2136584541","https://openalex.org/W2152332216","https://openalex.org/W2170315589","https://openalex.org/W2171948434","https://openalex.org/W2294439913","https://openalex.org/W2466399989","https://openalex.org/W3102784098","https://openalex.org/W3147065412","https://openalex.org/W4210890186","https://openalex.org/W4234672050","https://openalex.org/W6785989072"],"related_works":["https://openalex.org/W2148392490","https://openalex.org/W1987356308","https://openalex.org/W4238363418","https://openalex.org/W2135396414","https://openalex.org/W2992701057","https://openalex.org/W2084568304","https://openalex.org/W2118027215","https://openalex.org/W2123453665","https://openalex.org/W2562203867","https://openalex.org/W2085970987"],"abstract_inverted_index":{"We":[0,43,133,192],"propose":[1],"a":[2,87,94,111,166,172,180],"fuzzy":[3,50,75,100,105,183],"logic":[4,51],"recursive":[5,138,184,217],"scheme":[6,185],"for":[7,83,186],"motion":[8,52,59,63,82,118,187,196,213],"detection":[9,53,188,197],"and":[10,20,28,38,103,129,137,189,206,211],"spatiotemporal":[11],"filtering":[12,146],"that":[13,113],"can":[14],"deal":[15],"with":[16,49,228],"the":[17,26,56,66,69,78,99,104,114,117,143,151,154,194,232],"Gaussian":[18],"noise":[19,128,205,226],"unsteady":[21,130],"illumination":[22,209],"conditions":[23,210],"in":[24,86,109,122,153,215,223],"both":[25],"temporal":[27,70,140,190,216],"spatial":[29,168],"directions.":[30],"Our":[31,176],"focus":[32],"is":[33,91,120,147,179],"on":[34],"applications":[35],"concerning":[36],"tracking":[37,136],"denoising":[39,235],"of":[40,58,68,81,116,124,145,156,225,231],"image":[41,174],"sequences.":[42],"process":[44],"an":[45],"input":[46],"noisy":[47],"sequence":[48],"to":[54,127,150,170,204,207],"determine":[55],"degree":[57,80],"confidence.":[60],"The":[61],"proposed":[62,95,167,195],"detector":[64,119],"combines":[65],"membership":[67,79,96,101],"intensity":[71],"changes,":[72],"appropriately":[73],"using":[74,199],"rules,":[76],"where":[77,142],"each":[84],"pixel":[85],"2-D":[88],"sliding":[89],"window":[90],"determined":[92],"by":[93,165],"function.":[97],"Both":[98],"function":[102],"rules":[106],"are":[107,162],"defined":[108],"such":[110],"way":[112],"performance":[115],"optimized":[121],"terms":[123,224],"its":[125],"robustness":[126,203],"lighting":[131],"conditions.":[132],"simultaneously":[134],"perform":[135],"adaptive":[139],"filtering,":[141],"amount":[144],"inversely":[148],"proportional":[149],"confidence":[152],"existence":[155],"motion.":[157],"Finally,":[158],"temporally":[159],"filtered":[160],"frames":[161],"further":[163],"processed":[164],"filter":[169],"obtain":[171],"denoised":[173],"sequence.":[175],"main":[177],"contribution":[178],"robust":[181],"novel":[182],"filtering.":[191],"evaluate":[193],"algorithm":[198],"two":[200],"criteria:":[201],"(1)":[202],"changing":[208],"(2)":[212],"blur":[214],"denoising.":[218],"Additionally,":[219],"we":[220],"make":[221],"comparisons":[222],"reduction":[227],"other":[229],"state":[230],"art":[233],"video":[234],"techniques.":[236]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}