{"id":"https://openalex.org/W4392255734","doi":"https://doi.org/10.1145/3633637.3633704","title":"RPCA-related Tensor Decomposition in Foreground/background Modelling","display_name":"RPCA-related Tensor Decomposition in Foreground/background Modelling","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4392255734","doi":"https://doi.org/10.1145/3633637.3633704"},"language":"en","primary_location":{"id":"doi:10.1145/3633637.3633704","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3633637.3633704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Computing and Pattern Recognition","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/A5021032761","display_name":"Z. Wang","orcid":"https://orcid.org/0000-0003-4315-1389"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihan Wang","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114168158","display_name":"Guoqiang Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Sun","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021032761"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19371069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"427","last_page":"431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9958000183105469,"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":0.8163180351257324},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.7554102540016174},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6117899417877197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.610690176486969},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5828915238380432},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.5712670683860779},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.5704521536827087},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5413029789924622},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5325075387954712},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4791959226131439},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47108161449432373},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.464313268661499},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.44033175706863403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4168128967285156},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.416010320186615},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41201162338256836},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.16356715559959412},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.13327789306640625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10130402445793152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8163180351257324},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.7554102540016174},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6117899417877197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.610690176486969},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5828915238380432},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.5712670683860779},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.5704521536827087},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5413029789924622},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5325075387954712},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4791959226131439},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47108161449432373},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.464313268661499},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.44033175706863403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4168128967285156},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.416010320186615},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41201162338256836},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.16356715559959412},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.13327789306640625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10130402445793152},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3633637.3633704","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3633637.3633704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2087018183","https://openalex.org/W2233138502","https://openalex.org/W2342910067","https://openalex.org/W2505029951","https://openalex.org/W2790533564","https://openalex.org/W2884144629","https://openalex.org/W2887920632","https://openalex.org/W2890107589","https://openalex.org/W2962844880","https://openalex.org/W3046175167","https://openalex.org/W3095508601","https://openalex.org/W3159231306","https://openalex.org/W3170164866","https://openalex.org/W3178786402","https://openalex.org/W3193809486"],"related_works":["https://openalex.org/W3037121946","https://openalex.org/W2991135868","https://openalex.org/W4316660202","https://openalex.org/W2105103921","https://openalex.org/W4387454008","https://openalex.org/W2594059414","https://openalex.org/W1999137714","https://openalex.org/W2953123162","https://openalex.org/W2086414697","https://openalex.org/W2188430267"],"abstract_inverted_index":{"With":[0],"the":[1,27,34,52,59,67,71,74,86,92,100,104,105,115,120,129,136,145,153,156],"wide":[2],"usage":[3,146],"of":[4,14,78,95,131,147,155],"surveillance":[5],"video":[6,15],"in":[7,144],"various":[8],"scenarios,":[9],"most":[10],"computer":[11],"vision":[12],"tasks":[13],"analysis":[16],"could":[17],"be":[18],"finished":[19],"by":[20,61,69],"mathematics":[21],"methodology.":[22,102],"Our":[23],"research":[24],"work":[25],"with":[26,107],"separation":[28,93],"algorithm":[29,68],"is":[30],"trying":[31,83],"to":[32,84,90],"implement":[33],"CP-decomposition(RPCA)":[35],"for":[36],"separating":[37],"both":[38,45,128],"low-rank":[39],"and":[40,47,65,97,133,160,167],"sparse":[41],"tensors,":[42],"which":[43],"represent":[44],"motions":[46],"static":[48],"backgrounds,":[49],"respectively.":[50],"From":[51],"above":[53,159],"mentioned,":[54],"we":[55,111,126],"have":[56],"successfully":[57],"outlined":[58],"background":[60,98,134,168],"utilizing":[62],"RPCA":[63],"algorithms":[64,143,157],"optimized":[66],"updating":[70],"parameters":[72],"through":[73,135],"alternating":[75],"direction":[76],"method":[77],"multipliers(ADMM).":[79],"We":[80,151],"are":[81,112],"also":[82],"utilize":[85],"object":[87,117],"tracking":[88],"datasets":[89],"verify":[91],"results":[94,154],"foreground":[96,132,149,165],"during":[99],"proposed":[101],"Given":[103],"scene":[106],"multiple":[108],"moving":[109],"objects,":[110],"working":[113],"on":[114],"focused":[116],"extraction":[118],"from":[119],"given":[121],"images.":[122],"In":[123],"our":[124,162],"experiments,":[125],"extracted":[127],"outliers":[130],"ADMM":[137],"algorithm,":[138],"incrementalPCP,":[139],"TVRPCA,":[140],"DECOLOR,":[141],"etc":[142],"frame/image":[148],"detection.":[150],"simulated":[152],"mentioned":[158],"provided":[161],"discussion":[163],"about":[164],"modeling":[166],"modeling.":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
