{"id":"https://openalex.org/W2947176819","doi":"https://doi.org/10.1109/spcom.2018.8724459","title":"Tensor Total Variation Regularized Moving Object Detection for Surveillance Videos","display_name":"Tensor Total Variation Regularized Moving Object Detection for Surveillance Videos","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2947176819","doi":"https://doi.org/10.1109/spcom.2018.8724459","mag":"2947176819"},"language":"en","primary_location":{"id":"doi:10.1109/spcom.2018.8724459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2018.8724459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Communications (SPCOM)","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/A5042565174","display_name":"Anju Jose Tom","orcid":"https://orcid.org/0000-0002-8057-6223"},"institutions":[{"id":"https://openalex.org/I114845381","display_name":"National Institute of Technology Calicut","ror":"https://ror.org/03yyd7552","country_code":"IN","type":"education","lineage":["https://openalex.org/I114845381"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anju Jose Tom","raw_affiliation_strings":["Dept. of Electronics and Communication Engg., National Institute of Technology, Calicut, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Communication Engg., National Institute of Technology, Calicut, India","institution_ids":["https://openalex.org/I114845381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068254906","display_name":"Sudhish N. George","orcid":"https://orcid.org/0000-0002-0886-9478"},"institutions":[{"id":"https://openalex.org/I114845381","display_name":"National Institute of Technology Calicut","ror":"https://ror.org/03yyd7552","country_code":"IN","type":"education","lineage":["https://openalex.org/I114845381"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sudhish N. George","raw_affiliation_strings":["Dept. of Electronics and Communication Engg., National Institute of Technology, Calicut, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Communication Engg., National Institute of Technology, Calicut, India","institution_ids":["https://openalex.org/I114845381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042565174"],"corresponding_institution_ids":["https://openalex.org/I114845381"],"apc_list":null,"apc_paid":null,"fwci":0.608,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.6713238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"327","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9983999729156494,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9902999997138977,"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/tensor","display_name":"Tensor (intrinsic definition)","score":0.6412214040756226},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.6104629635810852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5736293792724609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5378891825675964},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5239132642745972},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.48704007267951965},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.45922887325286865},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4200165867805481},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38807007670402527},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3481774926185608},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3076851963996887},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.26421278715133667}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6412214040756226},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.6104629635810852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5736293792724609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5378891825675964},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5239132642745972},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.48704007267951965},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.45922887325286865},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4200165867805481},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38807007670402527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3481774926185608},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3076851963996887},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.26421278715133667},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spcom.2018.8724459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2018.8724459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Communications (SPCOM)","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":18,"referenced_works":["https://openalex.org/W1944540851","https://openalex.org/W2008926977","https://openalex.org/W2021836772","https://openalex.org/W2044828860","https://openalex.org/W2052524720","https://openalex.org/W2069057506","https://openalex.org/W2103972604","https://openalex.org/W2145962650","https://openalex.org/W2237316891","https://openalex.org/W2527040202","https://openalex.org/W2551055131","https://openalex.org/W2618422320","https://openalex.org/W2760679737","https://openalex.org/W2765774298","https://openalex.org/W2962829619","https://openalex.org/W2964214749","https://openalex.org/W6663637251","https://openalex.org/W6675529100"],"related_works":["https://openalex.org/W2123129869","https://openalex.org/W2569661359","https://openalex.org/W2781510240","https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W3031536623","https://openalex.org/W3094443322"],"abstract_inverted_index":{"The":[0,112],"classical":[1],"Background":[2],"Subtraction":[3],"(BS)":[4],"and":[5,40,123,135],"Moving":[6],"Object":[7],"Detection":[8],"(MOD)":[9],"problems":[10],"function":[11],"on":[12,124,132],"the":[13,29,38,46,50,56,82,89,93,105,109,119,125,140,143],"matrix":[14],"framework":[15],"considering":[16],"each":[17],"frame":[18],"as":[19,34],"a":[20,25,35,68,73],"matrix.":[21],"This":[22],"work":[23],"proposes":[24],"method":[26,116],"in":[27,79,118,128],"which":[28],"video":[30,51],"data":[31],"is":[32,77,85,100],"treated":[33],"tensor":[36,69],"throughout":[37],"implementation":[39],"thereby":[41],"ensuring":[42],"efficient":[43],"utilization":[44],"of":[45,49,72,92,108,114,142],"structural":[47],"properties":[48],"volume.":[52],"It":[53],"also":[54],"addresses":[55],"dynamic":[57],"background":[58],"issue":[59],"(swaying":[60],"trees,":[61],"moving":[62],"water,":[63],"waves":[64],"etc.)":[65],"by":[66],"solving":[67],"optimization":[70],"algorithm":[71],"convex":[74],"formulation":[75],"that":[76],"convergent":[78],"nature.":[80],"Moreover,":[81],"low-rank":[83],"property":[84],"used":[86],"to":[87,102,139],"extract":[88],"structured":[90],"part":[91,107],"scene":[94],"while":[95],"Tensor":[96],"Total":[97],"Variation":[98],"(TTV)":[99],"incorporated":[101],"draw":[103],"out":[104],"foreground":[106],"emotive":[110],"surroundings.":[111],"excellence":[113],"this":[115],"lies":[117],"reduced":[120],"execution":[121],"time":[122],"superiority":[126],"acquired":[127],"quantitative":[129],"evaluation":[130],"based":[131],"F-measure,":[133],"Recall,":[134],"Precision":[136],"with":[137],"respect":[138],"state":[141],"art":[144],"methods.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
