{"id":"https://openalex.org/W2154748700","doi":"https://doi.org/10.1109/avss.2007.4425368","title":"An efficient method for detecting ghost and left objects in surveillance video","display_name":"An efficient method for detecting ghost and left objects in surveillance video","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2154748700","doi":"https://doi.org/10.1109/avss.2007.4425368","mag":"2154748700"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2007.4425368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2007.4425368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Conference on Advanced Video and Signal Based Surveillance","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/A5111915144","display_name":"Sijun Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Sijun Lu","raw_affiliation_strings":["NICTA, Sydney, Australia","School of Information Technology, University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"NICTA, Sydney, Australia","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"School of Information Technology, University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409994","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-7240-3541"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["NICTA, Sydney, Australia","School of Information Technology, University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"NICTA, Sydney, Australia","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"School of Information Technology, University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068891693","display_name":"Dagan Feng","orcid":"https://orcid.org/0000-0002-3381-214X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["AU","HK"],"is_corresponding":false,"raw_author_name":"David Feng","raw_affiliation_strings":["Department of Electronic & Information Engineering, Hong Kong Polytechnic University, Hong Kong, China","School of Information Technology, University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Electronic & Information Engineering, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"School of Information Technology, University of Sydney, Australia","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111915144"],"corresponding_institution_ids":["https://openalex.org/I114017466","https://openalex.org/I129604602","https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":2.5965,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.9077024,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"540","last_page":"545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9986000061035156,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9984999895095825,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8101667165756226},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7990193367004395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7777634263038635},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7085219025611877},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6756805777549744},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5947608947753906},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5602129101753235},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5328356027603149},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4749707877635956},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.4148351848125458},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3742060661315918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16890770196914673},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15375056862831116},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.06368300318717957}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8101667165756226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7990193367004395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7777634263038635},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7085219025611877},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6756805777549744},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5947608947753906},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5602129101753235},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5328356027603149},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4749707877635956},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.4148351848125458},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3742060661315918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16890770196914673},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15375056862831116},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.06368300318717957},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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":2,"locations":[{"id":"doi:10.1109/avss.2007.4425368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2007.4425368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Conference on Advanced Video and Signal Based Surveillance","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/8952","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/8952","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1974306404","https://openalex.org/W1980423602","https://openalex.org/W2093212899","https://openalex.org/W2105038642","https://openalex.org/W2121597117","https://openalex.org/W2138520949","https://openalex.org/W2142251840","https://openalex.org/W2142747727","https://openalex.org/W2143373691","https://openalex.org/W2156235915","https://openalex.org/W6681128608"],"related_works":["https://openalex.org/W3160582076","https://openalex.org/W3204852000","https://openalex.org/W2965402078","https://openalex.org/W2542007731","https://openalex.org/W2963251476","https://openalex.org/W4285271403","https://openalex.org/W2968379562","https://openalex.org/W3156013036","https://openalex.org/W4297797959","https://openalex.org/W2965594636"],"abstract_inverted_index":{"This":[0,35],"paper":[1],"proposes":[2],"an":[3],"efficient":[4],"method":[5,36,87,107,137],"for":[6],"detecting":[7],"ghost":[8,72,111],"and":[9,29,73,93,104,112,129],"left":[10,74,113],"objects":[11,114],"in":[12,26,32,126],"surveillance":[13,33],"video,":[14],"which,":[15],"if":[16],"not":[17],"identified,":[18],"may":[19],"lead":[20],"to":[21,45,55,67,108],"errors":[22],"or":[23],"wasted":[24],"computation":[25],"background":[27,119,131],"modeling":[28],"object":[30,85,91],"tracking":[31,92],"systems.":[34],"contains":[37],"two":[38],"main":[39],"steps:":[40],"the":[41,52,63,69,77,97,117,121,127,130],"first":[42,78],"one":[43],"is":[44,66],"detect":[46],"stationary":[47,84],"objects,":[48],"which":[49],"narrows":[50],"down":[51],"evaluation":[53],"targets":[54],"a":[56,82,102,144],"very":[57],"small":[58],"number":[59],"of":[60,135,146],"foreground":[61],"blobs;":[62],"second":[64,98],"step":[65],"discriminate":[68],"candidates":[70],"between":[71,110],"objects.":[75],"For":[76,96],"step,":[79,99],"we":[80,100],"introduce":[81],"novel":[83],"detection":[86],"based":[88],"on":[89],"continuous":[90],"shape":[94],"matching.":[95],"propose":[101],"fast":[103],"robust":[105],"inpainting":[106],"differentiate":[109],"by":[115,141],"constructing":[116],"real":[118],"using":[120],"candidate":[122],"'s":[123],"corresponding":[124],"regions":[125],"input":[128],"images.":[132],"The":[133],"effectiveness":[134],"our":[136],"has":[138],"been":[139],"validated":[140],"experiments":[142],"over":[143],"variety":[145],"video":[147],"sequences.":[148]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
