{"id":"https://openalex.org/W4387122777","doi":"https://doi.org/10.1145/3607947.3607977","title":"Dynamic Background Modeling and Foreground Detection using Orthogonal Projection onto the Subspace of Moving Objects","display_name":"Dynamic Background Modeling and Foreground Detection using Orthogonal Projection onto the Subspace of Moving Objects","publication_year":2023,"publication_date":"2023-08-03","ids":{"openalex":"https://openalex.org/W4387122777","doi":"https://doi.org/10.1145/3607947.3607977"},"language":"en","primary_location":{"id":"doi:10.1145/3607947.3607977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3607947.3607977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5092958354","display_name":"B G Vishruth","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vishruth B G","raw_affiliation_strings":["Dept. of ISE, SJB Institute of Technology, India"],"raw_orcid":"https://orcid.org/0000-0002-9090-4008","affiliations":[{"raw_affiliation_string":"Dept. of ISE, SJB Institute of Technology, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003471670","display_name":"Gopalakrishna MT","orcid":"https://orcid.org/0000-0001-5410-0144"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gopalakrishna MT","raw_affiliation_strings":["Dept. of AI &amp; ML, SJB Institute of Technology, India"],"raw_orcid":"https://orcid.org/0000-0001-5410-0144","affiliations":[{"raw_affiliation_string":"Dept. of AI &amp; ML, SJB Institute of Technology, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012326645","display_name":"J. Megha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151956","display_name":"Robert Bosch (India)","ror":"https://ror.org/04my8ty22","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210151956","https://openalex.org/I889804353"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Megha J","raw_affiliation_strings":["Dept. of AI &amp; ML, Ramaiah Institute of Technology, India"],"raw_orcid":"https://orcid.org/0000-0001-5854-9627","affiliations":[{"raw_affiliation_string":"Dept. of AI &amp; ML, Ramaiah Institute of Technology, India","institution_ids":["https://openalex.org/I4210151956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"171","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10057","display_name":"Face and Expression Recognition","score":0.9979000091552734,"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":0.7766189575195312},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7375218272209167},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.7340385913848877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7295581102371216},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6507055163383484},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6336790323257446},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6320714950561523},{"id":"https://openalex.org/keywords/orthographic-projection","display_name":"Orthographic projection","score":0.5995059609413147},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5869367718696594},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5091437697410583},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.4850577414035797},{"id":"https://openalex.org/keywords/orthogonal-basis","display_name":"Orthogonal basis","score":0.48139074444770813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36558032035827637},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.131830096244812},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.098316490650177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7766189575195312},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7375218272209167},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7340385913848877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7295581102371216},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6507055163383484},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6336790323257446},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6320714950561523},{"id":"https://openalex.org/C175694140","wikidata":"https://www.wikidata.org/wiki/Q980329","display_name":"Orthographic projection","level":2,"score":0.5995059609413147},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5869367718696594},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5091437697410583},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.4850577414035797},{"id":"https://openalex.org/C187064257","wikidata":"https://www.wikidata.org/wiki/Q3306808","display_name":"Orthogonal basis","level":2,"score":0.48139074444770813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36558032035827637},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.131830096244812},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.098316490650177},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3607947.3607977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3607947.3607977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W53352569","https://openalex.org/W163225181","https://openalex.org/W1544957847","https://openalex.org/W2024194293","https://openalex.org/W2087828287","https://openalex.org/W2095392975","https://openalex.org/W2097308346","https://openalex.org/W2104294146","https://openalex.org/W2121647436","https://openalex.org/W2122420684","https://openalex.org/W2143115034","https://openalex.org/W2924985830","https://openalex.org/W3000409346","https://openalex.org/W3197910789","https://openalex.org/W3202703604","https://openalex.org/W4282566899","https://openalex.org/W4312156980","https://openalex.org/W4321073984"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W1981489509","https://openalex.org/W2383141911","https://openalex.org/W4232228426","https://openalex.org/W2366652250","https://openalex.org/W4246218487","https://openalex.org/W2362818071","https://openalex.org/W582869259","https://openalex.org/W2391370131"],"abstract_inverted_index":{"Moving":[0],"object":[1,57],"detection":[2,18,58],"and":[3,8,37,112,129,139,143],"recognition":[4],"is":[5,22,83,95,137],"an":[6],"important":[7],"very":[9],"relevant":[10],"topic":[11],"for":[12,55,141],"any":[13],"video":[14,20,60,148],"surveillance":[15,149],"application.":[16],"Object":[17],"in":[19,44,59,89,147],"sequences":[21],"a":[23,52],"challenging":[24],"task":[25],"due":[26],"to":[27,97],"several":[28],"hindrances":[29],"such":[30],"as":[31,81],"illumination":[32],"variations,":[33],"shadows,":[34],"dynamic":[35],"background,":[36],"clutter":[38],"background.":[39],"Existing":[40],"methods":[41,128],"are":[42,132],"inadequate":[43],"addressing":[45],"these":[46],"challenges.":[47],"Therefore,":[48,93],"the":[49,91,113,121,130],"author":[50],"proposes":[51],"novel":[53],"system":[54,123,136],"moving":[56,145],"based":[61],"on":[62,110],"Orthogonal":[63],"Preserving":[64,78],"Projection":[65,79],"(OLPP).":[66],"OLPP":[67,94],"generates":[68],"orthogonal":[69],"basis":[70],"functions":[71],"which":[72,85],"preserve":[73],"locality":[74],"better":[75],"than":[76,103],"Locality":[77],"(LPP),":[80],"it":[82,87],"non-orthogonal":[84],"makes":[86],"hard":[88],"reconstructing":[90],"data.":[92],"deemed":[96],"pertain":[98],"higher":[99],"power":[100],"of":[101],"discrimination":[102],"LPP.":[104],"The":[105,117,134],"proposed":[106,122,135],"method":[107],"was":[108],"tested":[109],"standard":[111],"author's":[114],"own":[115],"dataset.":[116],"results":[118,131],"obtained":[119],"with":[120,126],"were":[124],"compared":[125],"existing":[127],"satisfactory.":[133],"efficient":[138],"robust":[140],"detecting":[142],"recognizing":[144],"objects":[146],"applications.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
