{"id":"https://openalex.org/W1547305468","doi":"https://doi.org/10.1109/civemsa.2015.7158605","title":"A background subtraction algorithm for indoor monitoring surveillance systems","display_name":"A background subtraction algorithm for indoor monitoring surveillance systems","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1547305468","doi":"https://doi.org/10.1109/civemsa.2015.7158605","mag":"1547305468"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa.2015.7158605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2015.7158605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-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/A5086497712","display_name":"Mohamed Bachir Boubekeur","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mohamed Bachir Boubekeur","raw_affiliation_strings":["School of Information and Electronics Beijing Institute of Technology, Beijing, China","School of Information and electronics, Beijing Institute of Technology, Beijing, China, 100081"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and electronics, Beijing Institute of Technology, Beijing, China, 100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372685","display_name":"Senlin Luo","orcid":"https://orcid.org/0000-0002-3310-8312"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"SenLin Luo","raw_affiliation_strings":["School of Information and Electronics Beijing Institute of Technology, Beijing, China","School of Information and electronics, Beijing Institute of Technology, Beijing, China, 100081"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and electronics, Beijing Institute of Technology, Beijing, China, 100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086534696","display_name":"Hocine Labidi","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hocine Labidi","raw_affiliation_strings":["School of Information and Electronics Beijing Institute of Technology, Beijing, China","School of Information and electronics, Beijing Institute of Technology, Beijing, China, 100081"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and electronics, Beijing Institute of Technology, Beijing, China, 100081","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086497712"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55033332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9837999939918518,"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":0.8624635934829712},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7652226090431213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7406532764434814},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5976723432540894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5614909529685974},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5159993171691895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4915545880794525},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.45643556118011475},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4472009539604187},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.41189101338386536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.374813050031662},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15530535578727722},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.09738579392433167}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.8624635934829712},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7652226090431213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7406532764434814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5976723432540894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5614909529685974},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5159993171691895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4915545880794525},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.45643556118011475},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4472009539604187},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.41189101338386536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.374813050031662},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15530535578727722},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.09738579392433167},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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:10.1109/civemsa.2015.7158605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2015.7158605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1499877760","https://openalex.org/W1533698355","https://openalex.org/W1990864775","https://openalex.org/W1994304612","https://openalex.org/W2001414145","https://openalex.org/W2003830783","https://openalex.org/W2014324073","https://openalex.org/W2052524720","https://openalex.org/W2071860582","https://openalex.org/W2098496287","https://openalex.org/W2115352131","https://openalex.org/W2127070222","https://openalex.org/W2130293653","https://openalex.org/W2158698691","https://openalex.org/W4248936881"],"related_works":["https://openalex.org/W2188430267","https://openalex.org/W2610698896","https://openalex.org/W2369265144","https://openalex.org/W1575672096","https://openalex.org/W2161219919","https://openalex.org/W2123129869","https://openalex.org/W2558365694","https://openalex.org/W2397367746","https://openalex.org/W3031536623","https://openalex.org/W3094443322"],"abstract_inverted_index":{"The":[0,69,89],"use":[1],"of":[2,13,39,45,83,96],"the":[3,31,37,43,46,78,81,84,94,97],"gray":[4],"level":[5],"intensity":[6],"is":[7,67],"a":[8,52],"common":[9],"practice":[10],"for":[11],"most":[12],"background":[14,54],"subtraction":[15,55],"algorithms":[16],"due":[17],"to":[18,99],"speed":[19],"matters":[20],"in":[21,75,86],"real":[22],"time":[23],"applications,":[24],"and":[25,63,80,103],"performance":[26,91],"related":[27],"considerations,":[28],"yet":[29],"using":[30],"RGB":[32],"color":[33,64],"representation":[34],"could":[35],"increase":[36,74],"efficiency":[38],"object":[40],"detection":[41,85],"thus":[42],"accuracy":[44,79],"algorithm":[47,56,98],"increases.":[48],"In":[49],"this":[50],"paper,":[51],"non-parametric":[53],"based":[57],"on":[58],"samples":[59],"modeling,":[60],"adaptive":[61],"threshold,":[62],"layers":[65],"combination":[66],"presented.":[68],"proposed":[70],"framework":[71],"showed":[72],"an":[73],"performances":[76],"regarding":[77],"robustness":[82,95],"indoor":[87],"situations.":[88],"presented":[90],"analysis":[92],"supports":[93],"gradual":[100],"illumination":[101],"changes":[102],"ghost":[104],"artifact.":[105]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
