{"id":"https://openalex.org/W2134884892","doi":"https://doi.org/10.1109/lsp.2015.2498839","title":"Detection of Moving Objects Using Fuzzy Color Difference Histogram Based Background Subtraction","display_name":"Detection of Moving Objects Using Fuzzy Color Difference Histogram Based Background Subtraction","publication_year":2015,"publication_date":"2015-11-06","ids":{"openalex":"https://openalex.org/W2134884892","doi":"https://doi.org/10.1109/lsp.2015.2498839","mag":"2134884892"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2015.2498839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2498839","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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/A5014006642","display_name":"Deepak Kumar Panda","orcid":"https://orcid.org/0000-0001-8835-3908"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Deepak Kumar Panda","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India","Image Processing and Computer Vision Lab. Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India","institution_ids":["https://openalex.org/I16292982"]},{"raw_affiliation_string":"Image Processing and Computer Vision Lab. Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037663112","display_name":"Sukadev Meher","orcid":"https://orcid.org/0000-0003-4397-3139"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sukadev Meher","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India","Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India","institution_ids":["https://openalex.org/I16292982"]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, India#TAB#","institution_ids":["https://openalex.org/I16292982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014006642"],"corresponding_institution_ids":["https://openalex.org/I16292982"],"apc_list":null,"apc_paid":null,"fwci":7.1797,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.98058692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"23","issue":"1","first_page":"45","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9926000237464905,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9907000064849854,"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/background-subtraction","display_name":"Background subtraction","score":0.7525588274002075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7142698764801025},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6837420463562012},{"id":"https://openalex.org/keywords/color-difference","display_name":"Color difference","score":0.6229793429374695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.581850528717041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5113584399223328},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.5109154582023621},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4696003198623657},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46865883469581604},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.46665143966674805},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.45647957921028137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41661491990089417},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.412321001291275},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.1911616027355194},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.14755982160568237},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13034012913703918}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.7525588274002075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7142698764801025},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6837420463562012},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.6229793429374695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.581850528717041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5113584399223328},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.5109154582023621},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4696003198623657},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46865883469581604},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.46665143966674805},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.45647957921028137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41661491990089417},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.412321001291275},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.1911616027355194},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.14755982160568237},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13034012913703918},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2015.2498839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2498839","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.550000011920929,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1499877760","https://openalex.org/W1534835865","https://openalex.org/W1976526581","https://openalex.org/W2006520221","https://openalex.org/W2018744461","https://openalex.org/W2040154021","https://openalex.org/W2065441822","https://openalex.org/W2070177605","https://openalex.org/W2080955644","https://openalex.org/W2097512404","https://openalex.org/W2098305432","https://openalex.org/W2111918405","https://openalex.org/W2113076747","https://openalex.org/W2135046748","https://openalex.org/W2135293371","https://openalex.org/W2135694591","https://openalex.org/W2143619117","https://openalex.org/W2154836672","https://openalex.org/W2160522378","https://openalex.org/W2914885528","https://openalex.org/W4231795354","https://openalex.org/W4237743494","https://openalex.org/W4300763926","https://openalex.org/W6674745927","https://openalex.org/W6680298712","https://openalex.org/W6683053342"],"related_works":["https://openalex.org/W2057981026","https://openalex.org/W1597132678","https://openalex.org/W2256021896","https://openalex.org/W2181573213","https://openalex.org/W2024449420","https://openalex.org/W2398368608","https://openalex.org/W1990492110","https://openalex.org/W1583737874","https://openalex.org/W2122866860","https://openalex.org/W2903465195"],"abstract_inverted_index":{"Detection":[0],"of":[1,7,49,80,85,130,140,152,165,177,200],"moving":[2],"objects":[3],"in":[4,18,54,73,134,144,163,195,198],"the":[5,47,55,64,83,90,98,126,137,141,145,150,158,166,189,196],"presence":[6],"complex":[8,175],"scenes":[9,176],"such":[10],"as":[11],"dynamic":[12],"background":[13,38,56,191],"(e.g,":[14],"swaying":[15],"vegetation,":[16],"ripples":[17],"water,":[19],"spouting":[20],"fountain),":[21],"illumination":[22,93,164],"variation,":[23],"and":[24,70,95,124,147,206],"camouflage":[25],"is":[26,60,101,116,171],"a":[27,36,68,74,104,109],"very":[28],"challenging":[29],"task.":[30],"In":[31],"this":[32],"context,":[33],"we":[34,45],"propose":[35],"robust":[37],"subtraction":[39,57,192],"technique":[40],"with":[41,103,173],"three":[42],"contributions.":[43],"First,":[44],"present":[46],"use":[48,79,129],"color":[50,65,99,112],"difference":[51,66,100,113],"histogram":[52,114,142],"(CDH)":[53],"algorithm.":[58],"This":[59],"done":[61],"by":[62,118],"measuring":[63],"between":[67],"pixel":[69],"its":[71],"neighbors":[72],"small":[75],"local":[76],"neighborhood.":[77],"The":[78,128,168],"CDH":[81,135],"reduces":[82,136],"number":[84],"false":[86],"errors":[87],"due":[88,156],"to":[89,157],"non-stationary":[91],"background,":[92],"variation":[94,154],"camouflage.":[96],"Secondly,":[97],"fuzzified":[102],"Gaussian":[105],"membership":[106],"function.":[107],"Finally,":[108],"novel":[110],"fuzzy":[111,120],"(FCDH)":[115],"proposed":[117,169],"using":[119],"c-means":[121],"(FCM)":[122],"clustering":[123,132],"exploiting":[125],"CDH.":[127],"FCM":[131],"algorithm":[133,170],"large":[138],"dimensionality":[139],"bins":[143],"computation":[146],"also":[148],"lessens":[149],"effect":[151],"intensity":[153],"generated":[155],"fake":[159],"motion":[160],"or":[161],"change":[162],"background.":[167],"tested":[172],"various":[174],"some":[178],"benchmark":[179],"publicly":[180],"available":[181,194],"video":[182],"sequences.":[183],"It":[184],"exhibits":[185],"better":[186],"performance":[187],"over":[188],"state-of-the-art":[190],"techniques":[193],"literature":[197],"terms":[199],"classification":[201],"accuracy":[202],"metrics":[203],"like":[204],"MCC":[205],"PCC.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}