{"id":"https://openalex.org/W3080530719","doi":"https://doi.org/10.3390/sym12091397","title":"Motion Saliency Detection for Surveillance Systems Using Streaming Dynamic Mode Decomposition","display_name":"Motion Saliency Detection for Surveillance Systems Using Streaming Dynamic Mode Decomposition","publication_year":2020,"publication_date":"2020-08-21","ids":{"openalex":"https://openalex.org/W3080530719","doi":"https://doi.org/10.3390/sym12091397","mag":"3080530719"},"language":"en","primary_location":{"id":"doi:10.3390/sym12091397","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym12091397","pdf_url":"https://www.mdpi.com/2073-8994/12/9/1397/pdf","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/12/9/1397/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051817636","display_name":"Ngo Thien Thu","orcid":"https://orcid.org/0000-0002-6539-2725"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Thien-Thu Ngo","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University Global Campus, Yongin 17104, Korea"],"raw_orcid":"https://orcid.org/0000-0002-6539-2725","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University Global Campus, Yongin 17104, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065922715","display_name":"VanDung Nguyen","orcid":"https://orcid.org/0000-0002-3940-3929"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"VanDung Nguyen","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University Global Campus, Yongin 17104, Korea"],"raw_orcid":"https://orcid.org/0000-0002-3940-3929","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University Global Campus, Yongin 17104, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021487234","display_name":"Xuan\u2010Qui Pham","orcid":"https://orcid.org/0000-0003-3684-2923"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Xuan-Qui Pham","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University Global Campus, Yongin 17104, Korea"],"raw_orcid":"https://orcid.org/0000-0003-3684-2923","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University Global Campus, Yongin 17104, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024023328","display_name":"Md Alamgir Hossain","orcid":"https://orcid.org/0000-0002-6865-6650"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Md-Alamgir Hossain","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University Global Campus, Yongin 17104, Korea"],"raw_orcid":"https://orcid.org/0000-0002-6865-6650","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University Global Campus, Yongin 17104, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000263913","display_name":"Eui\u2010Nam Huh","orcid":"https://orcid.org/0000-0003-0184-6975"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Eui-Nam Huh","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University Global Campus, Yongin 17104, Korea"],"raw_orcid":"https://orcid.org/0000-0003-0184-6975","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University Global Campus, Yongin 17104, Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000263913"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.1962,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.49939557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"12","issue":"9","first_page":"1397","last_page":"1397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.853529691696167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6544447541236877},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5680966377258301},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5473494529724121},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.538365364074707},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45606932044029236},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4548110067844391},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4039683938026428},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3412981629371643}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.853529691696167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6544447541236877},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5680966377258301},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5473494529724121},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.538365364074707},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45606932044029236},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4548110067844391},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4039683938026428},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3412981629371643},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym12091397","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym12091397","pdf_url":"https://www.mdpi.com/2073-8994/12/9/1397/pdf","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ee9ac968c3ce47e3b1d1236b6f195fc7","is_oa":true,"landing_page_url":"https://doaj.org/article/ee9ac968c3ce47e3b1d1236b6f195fc7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 12, Iss 9, p 1397 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/12/9/1397/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym12091397","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym12091397","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym12091397","pdf_url":"https://www.mdpi.com/2073-8994/12/9/1397/pdf","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W154882957","https://openalex.org/W1490100156","https://openalex.org/W1772076007","https://openalex.org/W1945036000","https://openalex.org/W1954128991","https://openalex.org/W1974536722","https://openalex.org/W1978479866","https://openalex.org/W1980120082","https://openalex.org/W1981228217","https://openalex.org/W1996326832","https://openalex.org/W2002574940","https://openalex.org/W2014356541","https://openalex.org/W2015196405","https://openalex.org/W2032433032","https://openalex.org/W2037954058","https://openalex.org/W2055111849","https://openalex.org/W2056002605","https://openalex.org/W2060550624","https://openalex.org/W2063608179","https://openalex.org/W2070685860","https://openalex.org/W2094524899","https://openalex.org/W2100470808","https://openalex.org/W2108825342","https://openalex.org/W2110019070","https://openalex.org/W2122076510","https://openalex.org/W2128272608","https://openalex.org/W2133589685","https://openalex.org/W2145784495","https://openalex.org/W2146103513","https://openalex.org/W2149142337","https://openalex.org/W2160398355","https://openalex.org/W2162903716","https://openalex.org/W2164084182","https://openalex.org/W2166650627","https://openalex.org/W2169949291","https://openalex.org/W2295598507","https://openalex.org/W2552792887","https://openalex.org/W2581756885","https://openalex.org/W2588503511","https://openalex.org/W2760850206","https://openalex.org/W2766314245","https://openalex.org/W2771960258","https://openalex.org/W2793668851","https://openalex.org/W2796802830","https://openalex.org/W2963824924","https://openalex.org/W2963868681","https://openalex.org/W3013525196","https://openalex.org/W3099215446","https://openalex.org/W3099504209","https://openalex.org/W3099803807","https://openalex.org/W3104979525","https://openalex.org/W4300179783","https://openalex.org/W6649627412","https://openalex.org/W6785057186","https://openalex.org/W6785552257"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4390721878"],"abstract_inverted_index":{"Intelligent":[0],"surveillance":[1,21,83],"systems":[2,22,84],"enable":[3],"secured":[4],"visibility":[5],"features":[6],"in":[7,19,104,114,145,182],"the":[8,14,57,130,135,146,152,167],"smart":[9],"city":[10],"era.":[11],"One":[12],"of":[13,59,112,151],"major":[15],"models":[16,50,64],"for":[17,31,68,82],"pre-processing":[18],"intelligent":[20],"is":[23,91,100,127,139,155],"known":[24],"as":[25,35],"saliency":[26,80,125,137],"detection,":[27,37],"which":[28,99,179],"provides":[29],"facilities":[30],"multiple":[32],"tasks":[33],"such":[34],"object":[36,38],"segmentation,":[39],"video":[40],"coding,":[41],"image":[42,47],"re-targeting,":[43],"image-quality":[44],"assessment,":[45],"and":[46,122],"compression.":[48],"Traditional":[49],"focus":[51],"on":[52,157],"improving":[53],"detection":[54],"accuracy":[55,172],"at":[56],"cost":[58],"high":[60],"complexity.":[61],"However,":[62],"these":[63],"are":[65],"computationally":[66],"expensive":[67],"real-world":[69],"systems.":[70],"To":[71],"cope":[72],"with":[73,173],"this":[74],"issue,":[75],"we":[76],"propose":[77],"a":[78,101,110,115,123,142,158],"fast-motion":[79],"method":[81,90,154,169],"under":[85],"various":[86],"background":[87],"conditions.":[88],"Our":[89],"derived":[92],"from":[93,129],"streaming":[94,116],"dynamic":[95],"mode":[96],"decomposition":[97],"(s-DMD),":[98],"powerful":[102],"tool":[103],"data":[105],"science.":[106],"First,":[107],"DMD":[108],"computes":[109],"set":[111],"modes":[113],"manner":[117],"to":[118],"derive":[119],"spatial\u2013temporal":[120],"features,":[121],"raw":[124],"map":[126,138],"generated":[128],"sparse":[131],"reconstruction":[132],"process.":[133],"Second,":[134],"final":[136],"refined":[140],"using":[141],"difference-of-Gaussians":[143],"filter":[144],"frequency":[147],"domain.":[148],"The":[149,162],"effectiveness":[150],"proposed":[153,168],"validated":[156],"standard":[159],"benchmark":[160],"dataset.":[161],"experimental":[163],"results":[164],"show":[165],"that":[166],"achieves":[170],"competitive":[171],"lower":[174],"complexity":[175],"than":[176],"state-of-the-art":[177],"methods,":[178],"satisfies":[180],"requirements":[181],"real-time":[183],"applications.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
