{"id":"https://openalex.org/W2013365672","doi":"https://doi.org/10.1109/imis.2014.77","title":"Foreground Object Detection in Complex Scenes Using Cluster Color","display_name":"Foreground Object Detection in Complex Scenes Using Cluster Color","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2013365672","doi":"https://doi.org/10.1109/imis.2014.77","mag":"2013365672"},"language":"en","primary_location":{"id":"doi:10.1109/imis.2014.77","doi":"https://doi.org/10.1109/imis.2014.77","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imis.2014.77","pdf_url":null,"source":{"id":"https://openalex.org/S7407089222","display_name":"International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing","raw_type":"proceedings-article"},"volume":null,"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":null,"display_name":"Chung Chi Lin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I169090423","display_name":"Tunghai University","ror":"https://ror.org/00zhvdn11","country_code":"TW","type":"education","lineage":["https://openalex.org/I169090423"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung Chi Lin","raw_affiliation_strings":["Department of Computer Science, Tunghai University, Taiwan","[Dept. of Comput. Sci., Tunghai Univ., Taichung, Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tunghai University, Taiwan","institution_ids":["https://openalex.org/I169090423"]},{"raw_affiliation_string":"[Dept. of Comput. Sci., Tunghai Univ., Taichung, Taiwan]","institution_ids":["https://openalex.org/I169090423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112092509","display_name":"Wen Kai Tsai","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen Kai Tsai","raw_affiliation_strings":["Industrial Technology Research Institute, Taiwan","Ind. Technol. Res. Inst., Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute, Taiwan","institution_ids":["https://openalex.org/I4210148468"]},{"raw_affiliation_string":"Ind. Technol. Res. Inst., Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210148468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030632167","display_name":"Chishyan Liaw","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I169090423","display_name":"Tunghai University","ror":"https://ror.org/00zhvdn11","country_code":"TW","type":"education","lineage":["https://openalex.org/I169090423"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chishyan Liaw","raw_affiliation_strings":["Department of Computer Science, Tunghai University, Taiwan","[Dept. of Comput. Sci., Tunghai Univ., Taichung, Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tunghai University, Taiwan","institution_ids":["https://openalex.org/I169090423"]},{"raw_affiliation_string":"[Dept. of Comput. Sci., Tunghai Univ., Taichung, Taiwan]","institution_ids":["https://openalex.org/I169090423"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09954228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"16","issue":null,"first_page":"529","last_page":"532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/foreground-detection","display_name":"foreground detection","score":0.9860000014305115},{"id":"https://openalex.org/keywords/visual-surveillance","display_name":"visual surveillance","score":0.6729999780654907},{"id":"https://openalex.org/keywords/moving-background","display_name":"moving background","score":0.7590000033378601},{"id":"https://openalex.org/keywords/illumination-variation","display_name":"illumination variation","score":0.8939999938011169},{"id":"https://openalex.org/keywords/complex-scenes","display_name":"complex scenes","score":0.8960000276565552},{"id":"https://openalex.org/keywords/low-memory-requirements","display_name":"low memory requirements","score":0.6119999885559082},{"id":"https://openalex.org/keywords/real-time-video-processing","display_name":"real-time video processing","score":0.8529999852180481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8318468332290649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7813048362731934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.780872106552124},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6980118751525879},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6898633241653442},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6078659296035767},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5714786648750305},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.4635872542858124},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4619463086128235},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.45951712131500244},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.4355737268924713},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.4059440493583679},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.40117910504341125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25126463174819946},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.20882514119148254},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/imis.2014.77","doi":"https://doi.org/10.1109/imis.2014.77","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imis.2014.77","pdf_url":null,"source":{"id":"https://openalex.org/S7407089222","display_name":"International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2033668463","https://openalex.org/W2075022042","https://openalex.org/W2098305432","https://openalex.org/W2111918405","https://openalex.org/W2115415549","https://openalex.org/W2120436754","https://openalex.org/W2131923631","https://openalex.org/W2139508112","https://openalex.org/W2150634088","https://openalex.org/W2158604775","https://openalex.org/W2169552481"],"related_works":["https://openalex.org/W2516332603","https://openalex.org/W1996085838","https://openalex.org/W206430251","https://openalex.org/W2556611519","https://openalex.org/W2390035587","https://openalex.org/W2060510718","https://openalex.org/W2147722200","https://openalex.org/W1969073668","https://openalex.org/W2329456235","https://openalex.org/W4251977277"],"abstract_inverted_index":{"In":[0],"visual":[1],"surveillance":[2],"systems,":[3],"the":[4,11,83,88,99],"image":[5,103],"foreground":[6],"object":[7,84],"detection":[8,85],"must":[9],"face":[10],"problems":[12],"of":[13],"moving":[14],"backgrounds,":[15],"illumination":[16],"changes,":[17],"chaotic":[18],"scenes,":[19],"etc.":[20],"in":[21,59],"real":[22],"word":[23],"applications.":[24],"The":[25],"most":[26],"used":[27],"and":[28,38,55,69],"accurate":[29],"methods":[30],"are":[31],"mostly":[32],"pixel-based,":[33],"taking":[34],"up":[35],"more":[36],"memory":[37,57,68],"requiring":[39],"longer":[40],"execution":[41],"time.":[42],"This":[43],"paper":[44],"presents":[45],"a":[46],"cluster":[47],"color":[48],"background":[49],"model":[50],"that":[51],"possesses":[52],"efficient":[53],"processing":[54],"low":[56],"requirement":[58],"complex":[60],"scenes.":[61],"Our":[62],"proposed":[63],"approach":[64],"consumes":[65],"32.5%":[66],"less":[67],"increases":[70],"accuracy":[71],"by":[72],"at":[73],"least":[74],"2.5%":[75],"compared":[76],"to":[77],"other":[78],"existing":[79],"methods.":[80],"Last,":[81],"implementing":[82],"algorithm":[86],"on":[87],"2.83GHz":[89],"CPU,":[90],"we":[91],"can":[92],"achieve":[93],"26":[94],"frames":[95],"per":[96],"second":[97],"for":[98],"benchmark":[100],"video":[101],"with":[102],"size":[104],"768\u00d7576.":[105]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}