{"id":"https://openalex.org/W3144208039","doi":"https://doi.org/10.1145/3416492","title":"RICA-MD: A Refined ICA Algorithm for Motion Detection","display_name":"RICA-MD: A Refined ICA Algorithm for Motion Detection","publication_year":2021,"publication_date":"2021-01-31","ids":{"openalex":"https://openalex.org/W3144208039","doi":"https://doi.org/10.1145/3416492","mag":"3144208039"},"language":"en","primary_location":{"id":"doi:10.1145/3416492","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3416492","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5069749771","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-9218-9028"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110424958","display_name":"Xiaopei Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopei Wu","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061888850","display_name":"Jianchao Lu","orcid":"https://orcid.org/0000-0003-0788-1448"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianchao Lu","raw_affiliation_strings":["Macquarie University, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0788-1448","affiliations":[{"raw_affiliation_string":"Macquarie University, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081182489","display_name":"Xi Zheng","orcid":"https://orcid.org/0000-0002-2572-2355"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xi Zheng","raw_affiliation_strings":["Macquarie University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macquarie University, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045461052","display_name":"Alireza Jolfaei","orcid":"https://orcid.org/0000-0001-7818-459X"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alireza Jolfaei","raw_affiliation_strings":["Macquarie University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macquarie University, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080744092","display_name":"Quan Z. Sheng","orcid":"https://orcid.org/0000-0002-3326-4147"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Quan Z. Sheng","raw_affiliation_strings":["Macquarie University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macquarie University, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042936370","display_name":"Dongjin Yu","orcid":"https://orcid.org/0000-0001-8919-1613"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongjin Yu","raw_affiliation_strings":["Hangzhou Dianzi University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1884,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45255608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":"1s","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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":0.9988999962806702,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.980400025844574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.77113938331604},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.758716344833374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6584303379058838},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6066955327987671},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.5220082402229309},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5057642459869385},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5002596378326416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44294896721839905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4398859739303589}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77113938331604},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.758716344833374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6584303379058838},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6066955327987671},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.5220082402229309},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5057642459869385},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5002596378326416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44294896721839905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4398859739303589},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3416492","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3416492","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W93526022","https://openalex.org/W639708223","https://openalex.org/W869147768","https://openalex.org/W1548802052","https://openalex.org/W1552578116","https://openalex.org/W1969407961","https://openalex.org/W1983505673","https://openalex.org/W1997384493","https://openalex.org/W1997544333","https://openalex.org/W2007251122","https://openalex.org/W2029148636","https://openalex.org/W2033682244","https://openalex.org/W2041009704","https://openalex.org/W2060280062","https://openalex.org/W2071680411","https://openalex.org/W2072563079","https://openalex.org/W2085121419","https://openalex.org/W2102625004","https://openalex.org/W2104637302","https://openalex.org/W2114701396","https://openalex.org/W2130411857","https://openalex.org/W2132078836","https://openalex.org/W2141572457","https://openalex.org/W2142550401","https://openalex.org/W2146680426","https://openalex.org/W2163605009","https://openalex.org/W2184962292","https://openalex.org/W2329008720","https://openalex.org/W2549940417","https://openalex.org/W2582998992","https://openalex.org/W2729360425","https://openalex.org/W2755190242","https://openalex.org/W2768795283","https://openalex.org/W2801080451","https://openalex.org/W2891796867","https://openalex.org/W2907983973","https://openalex.org/W2909963827","https://openalex.org/W2963224965","https://openalex.org/W3123679917","https://openalex.org/W4231579676","https://openalex.org/W4243759615","https://openalex.org/W4249379860"],"related_works":["https://openalex.org/W4252230435","https://openalex.org/W2121429698","https://openalex.org/W2182042810","https://openalex.org/W55679925","https://openalex.org/W3080404860","https://openalex.org/W2046761971","https://openalex.org/W1564859343","https://openalex.org/W2017155773","https://openalex.org/W188808486","https://openalex.org/W3158873841"],"abstract_inverted_index":{"With":[0],"the":[1,8,58,63,82,89,103,156,161],"rapid":[2],"development":[3],"of":[4,10,102,127,160,205],"various":[5],"computing":[6],"technologies,":[7],"constraints":[9],"data":[11,18,75],"processing":[12],"capabilities":[13],"gradually":[14],"disappeared,":[15],"and":[16,79,87,99],"more":[17,137],"can":[19],"be":[20],"simultaneously":[21],"processed":[22],"to":[23,28,135,153,168,178,196],"obtain":[24,96],"better":[25,199],"performance":[26,200],"compared":[27],"conventional":[29,130,181],"methods.":[30,182],"As":[31],"a":[32,50,114,124,198],"standard":[33],"statistical":[34],"analysis":[35],"method":[36,193],"that":[37,190],"has":[38],"been":[39],"widely":[40],"used":[41],"in":[42,106,186],"many":[43],"fields,":[44],"Independent":[45],"Component":[46],"Analysis":[47],"(ICA)":[48],"provides":[49],"new":[51],"way":[52],"for":[53,76,118,140,149],"motion":[54,69,119,132,158],"detection":[55,70,120,133],"by":[56,85,91],"extracting":[57],"foreground":[59,141],"without":[60],"precisely":[61],"modeling":[62],"background.":[64],"However,":[65],"most":[66],"existing":[67],"ICA-based":[68,131],"algorithms":[71,134],"use":[72],"only":[73],"two-channel":[74],"source":[77],"separation":[78],"simply":[80],"generate":[81],"observation":[83,151],"vectors":[84,152],"decomposing":[86],"reconstructing":[88],"images":[90],"row,":[92],"hence":[93],"they":[94],"cannot":[95],"an":[97,202],"integrated":[98],"accurate":[100],"shape":[101],"moving":[104,162,173],"objects":[105],"complex":[107],"scenes.":[108],"In":[109],"this":[110],"article,":[111],"we":[112,144],"propose":[113,145],"refined":[115],"ICA":[116],"algorithm":[117],"(RICA-MD),":[121],"which":[122,175],"fuses":[123],"larger":[125],"number":[126],"channels":[128],"than":[129],"provide":[136],"effective":[138],"information":[139],"extraction.":[142],"Meanwhile,":[143],"four":[146],"novel":[147],"methods":[148],"generating":[150],"further":[154],"cover":[155],"diverse":[157],"styles":[159],"objects.":[163],"These":[164],"improvements":[165],"enable":[166],"RICA-MD":[167],"effectively":[169],"deal":[170],"with":[171],"slowly":[172],"objects,":[174],"are":[176],"difficult":[177],"detect":[179],"using":[180],"Our":[183],"quantitative":[184],"evaluation":[185],"multiple":[187],"scenes":[188],"shows":[189],"our":[191],"proposed":[192],"is":[194],"able":[195],"achieve":[197],"at":[201],"acceptable":[203],"cost":[204],"false":[206],"alarms.":[207]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
