{"id":"https://openalex.org/W4223902254","doi":"https://doi.org/10.1007/s11042-022-12832-0","title":"Moving object detection for unseen videos via truncated weighted robust principal component analysis and salience convolution neural network","display_name":"Moving object detection for unseen videos via truncated weighted robust principal component analysis and salience convolution neural network","publication_year":2022,"publication_date":"2022-04-15","ids":{"openalex":"https://openalex.org/W4223902254","doi":"https://doi.org/10.1007/s11042-022-12832-0"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-022-12832-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-022-12832-0","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools 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/A5071368928","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-0087-3472"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yang Li","raw_affiliation_strings":["School of IoT Engineering (School of Information Security), Jiangsu Vocational College of Information Technology, No 1 Qianou Road, Wuxi, 214153, China"],"raw_orcid":"https://orcid.org/0000-0002-0087-3472","affiliations":[{"raw_affiliation_string":"School of IoT Engineering (School of Information Security), Jiangsu Vocational College of Information Technology, No 1 Qianou Road, Wuxi, 214153, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071368928"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4082,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58193577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"81","issue":"23","first_page":"32779","last_page":"32790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.898043155670166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7485343217849731},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7369359731674194},{"id":"https://openalex.org/keywords/salience","display_name":"Salience (neuroscience)","score":0.6676777601242065},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5863121151924133},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.5702948570251465},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.544851541519165},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4893800616264343},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.469954252243042},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46389201283454895},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4592587351799011},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4535059928894043},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.43221738934516907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.898043155670166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7485343217849731},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7369359731674194},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.6676777601242065},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5863121151924133},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.5702948570251465},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.544851541519165},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4893800616264343},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.469954252243042},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46389201283454895},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4592587351799011},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4535059928894043},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.43221738934516907},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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:10.1007/s11042-022-12832-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-022-12832-0","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1499877760","https://openalex.org/W1969977005","https://openalex.org/W2021836772","https://openalex.org/W2066004842","https://openalex.org/W2096608935","https://openalex.org/W2102625004","https://openalex.org/W2115352131","https://openalex.org/W2417256080","https://openalex.org/W2525668722","https://openalex.org/W2750746331","https://openalex.org/W2774176625","https://openalex.org/W2783946051","https://openalex.org/W2792020408","https://openalex.org/W2793060879","https://openalex.org/W2892320136","https://openalex.org/W2897432612","https://openalex.org/W2901951655","https://openalex.org/W2902239439","https://openalex.org/W2907750714","https://openalex.org/W3024617482"],"related_works":["https://openalex.org/W4283792950","https://openalex.org/W2549425886","https://openalex.org/W2124460284","https://openalex.org/W2136668498","https://openalex.org/W2563483704","https://openalex.org/W3124370832","https://openalex.org/W3003801099","https://openalex.org/W2003667605","https://openalex.org/W62130100","https://openalex.org/W1980960407"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
