{"id":"https://openalex.org/W2221908003","doi":"https://doi.org/10.1109/spa.2015.7365143","title":"Simple object coordination tracking based on background modeling","display_name":"Simple object coordination tracking based on background modeling","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2221908003","doi":"https://doi.org/10.1109/spa.2015.7365143","mag":"2221908003"},"language":"en","primary_location":{"id":"doi:10.1109/spa.2015.7365143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spa.2015.7365143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"},"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":"https://openalex.org/A5002767080","display_name":"Hyeong-jun Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeong-Jun Cho","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103596986","display_name":"Sang-Hyeop Song","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Hyeop Song","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058112767","display_name":"Jong-Hak Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Hak Kim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098095293","display_name":"Solima","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Solima","raw_affiliation_strings":["Sungkyunkwan University, Jongno-gu, Seoul, KR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Jongno-gu, Seoul, KR","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037827523","display_name":"Jun\u2010Dong Cho","orcid":"https://orcid.org/0000-0001-7015-8274"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun Dong Cho","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":0.1352,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44661944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"24 5","issue":null,"first_page":"110","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking 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/T11439","display_name":"Video Analysis and Summarization","score":0.9983000159263611,"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":0.9944999814033508,"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":0.8535457253456116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8036584854125977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7781395316123962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.720291018486023},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.659476637840271},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6101043820381165},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6004197001457214},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5567871928215027},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5409700274467468},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5143307447433472},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4973795711994171},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.48458755016326904},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4557203948497772},{"id":"https://openalex.org/keywords/object-model","display_name":"Object model","score":0.429263710975647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2924271523952484},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.26187068223953247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10789605975151062},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09852403402328491}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.8535457253456116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8036584854125977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7781395316123962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.720291018486023},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.659476637840271},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6101043820381165},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6004197001457214},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5567871928215027},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5409700274467468},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5143307447433472},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4973795711994171},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.48458755016326904},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4557203948497772},{"id":"https://openalex.org/C20894473","wikidata":"https://www.wikidata.org/wiki/Q1116105","display_name":"Object model","level":3,"score":0.429263710975647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2924271523952484},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.26187068223953247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10789605975151062},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09852403402328491},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spa.2015.7365143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spa.2015.7365143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1553272164","https://openalex.org/W1981856015","https://openalex.org/W2067191022","https://openalex.org/W2140235142","https://openalex.org/W2153583129","https://openalex.org/W2335978598","https://openalex.org/W2611684114"],"related_works":["https://openalex.org/W1987287817","https://openalex.org/W2123129869","https://openalex.org/W3094443322","https://openalex.org/W3031536623","https://openalex.org/W4399575711","https://openalex.org/W2615278000","https://openalex.org/W2360075875","https://openalex.org/W2018476639","https://openalex.org/W2965594636","https://openalex.org/W2909434393"],"abstract_inverted_index":{"In":[0,44,80,96],"this":[1,45],"paper,":[2],"we":[3,47,82],"propose":[4],"a":[5,28,34,71,101],"simple":[6],"object":[7,38,75,86],"tracking":[8,39],"based":[9],"on":[10,27,36],"background":[11,21,29,49],"modeling":[12,22,50],"using":[13,93,110],"histogram":[14,94],"matching.":[15,95],"Different":[16],"from":[17],"the":[18,97],"existing":[19],"block-based":[20],"methods,":[23],"most":[24],"researches":[25],"focus":[26],"subtraction.":[30],"However,":[31],"that":[32,73],"includes":[33],"problem":[35],"visually":[37],"and":[40,51,90],"unreliable":[41],"coordinate":[42],"information.":[43],"work,":[46],"implement":[48],"generate":[52],"`background":[53,62],"map'":[54,63],"to":[55,69],"reduce":[56],"processing":[57,105],"time":[58,106],"for":[59,66,100],"labeling.":[60],"Then,":[61],"is":[64,107],"used":[65],"labeling":[67],"algorithm":[68],"find":[70,74],"foreground":[72],"coordination":[76],"information":[77],"each":[78],"frame.":[79],"addition,":[81],"can":[83],"track":[84],"moving":[85],"between":[87],"previous":[88],"frame":[89,92],"current":[91],"real-time":[98],"processing,":[99],"640*480":[102],"resolution":[103],"video,":[104],"within":[108],"19ms":[109],"parallel":[111],"studio.":[112]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}