{"id":"https://openalex.org/W2767058837","doi":"https://doi.org/10.1109/icinfa.2017.8079053","title":"Improved adaptive mixture of Gaussians model for moving objects detection","display_name":"Improved adaptive mixture of Gaussians model for moving objects detection","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2767058837","doi":"https://doi.org/10.1109/icinfa.2017.8079053","mag":"2767058837"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2017.8079053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2017.8079053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Information and Automation (ICIA)","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/A5016266515","display_name":"Wenjie Zhu","orcid":"https://orcid.org/0009-0008-9461-7656"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wenjie Zhu","raw_affiliation_strings":["Mechanical Engineering College, Lab of Nanotechnology and Micro System, Shijiazhuang, Hebei Province, China"],"affiliations":[{"raw_affiliation_string":"Mechanical Engineering College, Lab of Nanotechnology and Micro System, Shijiazhuang, Hebei Province, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103274916","display_name":"Guanglong Wang","orcid":"https://orcid.org/0000-0002-2252-082X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guanglong Wang","raw_affiliation_strings":["Mechanical Engineering College, Lab of Nanotechnology and Micro System, Shijiazhuang, Hebei Province, China"],"affiliations":[{"raw_affiliation_string":"Mechanical Engineering College, Lab of Nanotechnology and Micro System, Shijiazhuang, Hebei Province, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101891980","display_name":"Jie Tian","orcid":"https://orcid.org/0009-0009-8605-8767"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Tian","raw_affiliation_strings":["Mechanical Engineering College, Lab of Nanotechnology and Micro System, Shijiazhuang, Hebei Province, China"],"affiliations":[{"raw_affiliation_string":"Mechanical Engineering College, Lab of Nanotechnology and Micro System, Shijiazhuang, Hebei Province, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033302252","display_name":"Zhongtao Qiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhongtao Qiao","raw_affiliation_strings":["Fourth Department, Mechanical Engineering College, Shijiazhuang, Hebei Province, China"],"affiliations":[{"raw_affiliation_string":"Fourth Department, Mechanical Engineering College, Shijiazhuang, Hebei Province, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057324363","display_name":"Fengqi Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fengqi Gao","raw_affiliation_strings":["Fourth Department, Mechanical Engineering College, Shijiazhuang, Hebei Province, China"],"affiliations":[{"raw_affiliation_string":"Fourth Department, Mechanical Engineering College, Shijiazhuang, Hebei Province, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016266515"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47982662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"1027","last_page":"1031"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.96670001745224,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.8287458419799805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7130829095840454},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6834865212440491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6398298740386963},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6276882886886597},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5392550230026245},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5118696093559265},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.477627694606781},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.46131229400634766},{"id":"https://openalex.org/keywords/gaussian-blur","display_name":"Gaussian blur","score":0.41887566447257996},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.413627028465271},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37689948081970215},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3658626079559326},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28330034017562866},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27218133211135864}],"concepts":[{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.8287458419799805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7130829095840454},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6834865212440491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6398298740386963},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6276882886886597},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5392550230026245},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5118696093559265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.477627694606781},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.46131229400634766},{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.41887566447257996},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.413627028465271},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37689948081970215},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3658626079559326},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28330034017562866},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27218133211135864},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2017.8079053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2017.8079053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Information and Automation (ICIA)","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":14,"referenced_works":["https://openalex.org/W1573546770","https://openalex.org/W1970993475","https://openalex.org/W1988061476","https://openalex.org/W2030449681","https://openalex.org/W2035866593","https://openalex.org/W2044828860","https://openalex.org/W2087429945","https://openalex.org/W2102625004","https://openalex.org/W2115415549","https://openalex.org/W2127070222","https://openalex.org/W2208063469","https://openalex.org/W2553934512","https://openalex.org/W4285719527","https://openalex.org/W4300179783"],"related_works":["https://openalex.org/W2063769574","https://openalex.org/W2054007705","https://openalex.org/W2134831563","https://openalex.org/W2549920676","https://openalex.org/W2083966666","https://openalex.org/W2368921446","https://openalex.org/W4241340242","https://openalex.org/W2391139946","https://openalex.org/W2990717236","https://openalex.org/W2384692698"],"abstract_inverted_index":{"The":[0,58,72,93],"spatial":[1],"information":[2],"of":[3,19,25,41,65,97,108],"the":[4,10,17,20,39,66,83,106],"video":[5],"sequence":[6],"is":[7,34],"introduced":[8],"into":[9],"background":[11],"modeling":[12,32],"process":[13,33],"to":[14,36],"deal":[15],"with":[16,90],"problems":[18],"traditional":[21,91],"single-pixel":[22],"based":[23],"mixture":[24,96],"Gaussians":[26,98],"moving":[27,109],"objects":[28,110],"detection":[29,111],"method.":[30],"Gaussian":[31],"improved":[35,94],"adaptively":[37],"select":[38],"number":[40],"models,":[42],"learning":[43],"rate":[44],"and":[45,55,63,74,78],"other":[46,56],"parameters":[47],"by":[48],"adjacent":[49],"neighborhood":[50],"pixels":[51],"updating,":[52],"spatio-temporal":[53],"smoothing":[54],"methods.":[57],"complete":[59],"algorithm":[60,67,85],"processing":[61],"flow":[62],"steps":[64],"are":[68],"discussed":[69],"in":[70,112],"detail.":[71],"qualitative":[73],"quantitative":[75],"experimental":[76],"analysis":[77],"comparison":[79],"results":[80],"exhibit":[81],"that":[82],"proposed":[84],"has":[86],"superior":[87],"performances":[88],"compared":[89],"algorithms.":[92],"adaptive":[95],"model":[99],"provides":[100],"a":[101],"novel":[102],"method":[103],"for":[104],"solving":[105],"problem":[107],"complex":[113],"background.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}