{"id":"https://openalex.org/W2339309815","doi":"https://doi.org/10.1109/tcsvt.2016.2555719","title":"A Bayesian Approach to Camouflaged Moving Object Detection","display_name":"A Bayesian Approach to Camouflaged Moving Object Detection","publication_year":2016,"publication_date":"2016-04-21","ids":{"openalex":"https://openalex.org/W2339309815","doi":"https://doi.org/10.1109/tcsvt.2016.2555719","mag":"2339309815"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2016.2555719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2555719","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","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/A5100368903","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0002-9726-0858"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["Centre for Robotics, UESTC, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Centre for Robotics, UESTC, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034427070","display_name":"Ce Zhu","orcid":"https://orcid.org/0000-0001-7607-707X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Zhu","raw_affiliation_strings":["Centre for Robotics, UESTC, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Centre for Robotics, UESTC, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101725200","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0001-9521-5925"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Wang","raw_affiliation_strings":["Centre for Robotics, UESTC, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Centre for Robotics, UESTC, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610065","display_name":"Yipeng Liu","orcid":"https://orcid.org/0000-0003-2084-8781"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yipeng Liu","raw_affiliation_strings":["Centre for Robotics, UESTC, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Centre for Robotics, UESTC, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100682790","display_name":"Mao Ye","orcid":"https://orcid.org/0000-0003-4760-8702"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Ye","raw_affiliation_strings":["Centre for Robotics, and School of Computer Science and Engineering, UESTC, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Centre for Robotics, and School of Computer Science and Engineering, UESTC, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100368903"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":4.5756,"has_fulltext":false,"cited_by_count":91,"citation_normalized_percentile":{"value":0.9660479,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"27","issue":"9","first_page":"2001","last_page":"2013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9912999868392944,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/camouflage","display_name":"Camouflage","score":0.9817416667938232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8026114702224731},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7603652477264404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7344357967376709},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.710997998714447},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.6934354305267334},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6913760900497437},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.6301809549331665},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5773631930351257},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5627676844596863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4985384941101074},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.49377378821372986},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4340730905532837}],"concepts":[{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.9817416667938232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8026114702224731},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7603652477264404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7344357967376709},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.710997998714447},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.6934354305267334},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6913760900497437},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.6301809549331665},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5773631930351257},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5627676844596863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4985384941101074},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.49377378821372986},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4340730905532837}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2016.2555719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2555719","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1496603031","display_name":null,"funder_award_id":"ZYGX2015J025","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4561263380","display_name":null,"funder_award_id":"(NSFC, No. 61571102)","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6298633205","display_name":null,"funder_award_id":"ZYGX2014Z003","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8360963617","display_name":null,"funder_award_id":"ZYGX2015KYQD004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1481385029","https://openalex.org/W1693345094","https://openalex.org/W1858718142","https://openalex.org/W1964127768","https://openalex.org/W1970449280","https://openalex.org/W1981717224","https://openalex.org/W1989348325","https://openalex.org/W1990864775","https://openalex.org/W1994634851","https://openalex.org/W1995517039","https://openalex.org/W2002103521","https://openalex.org/W2003830783","https://openalex.org/W2008864672","https://openalex.org/W2018882088","https://openalex.org/W2030346542","https://openalex.org/W2035866593","https://openalex.org/W2036999561","https://openalex.org/W2039942072","https://openalex.org/W2062520372","https://openalex.org/W2067084019","https://openalex.org/W2069057506","https://openalex.org/W2073237885","https://openalex.org/W2082834618","https://openalex.org/W2088780408","https://openalex.org/W2098305432","https://openalex.org/W2103394762","https://openalex.org/W2104433781","https://openalex.org/W2111918405","https://openalex.org/W2114701396","https://openalex.org/W2116076678","https://openalex.org/W2116877738","https://openalex.org/W2118143383","https://openalex.org/W2122423951","https://openalex.org/W2125480112","https://openalex.org/W2125587358","https://openalex.org/W2127070222","https://openalex.org/W2129822853","https://openalex.org/W2138626738","https://openalex.org/W2140235142","https://openalex.org/W2143373691","https://openalex.org/W2143516773","https://openalex.org/W2145962650","https://openalex.org/W2148290050","https://openalex.org/W2152227675","https://openalex.org/W2157526871","https://openalex.org/W2161193411","https://openalex.org/W2163798820","https://openalex.org/W2166978545","https://openalex.org/W2295382735","https://openalex.org/W2299738717","https://openalex.org/W3147359414","https://openalex.org/W4243027931","https://openalex.org/W4300179783","https://openalex.org/W6637369054","https://openalex.org/W6651007583","https://openalex.org/W6678331195","https://openalex.org/W6678894196","https://openalex.org/W6680405424","https://openalex.org/W6697713907"],"related_works":["https://openalex.org/W2105103921","https://openalex.org/W3085382568","https://openalex.org/W2891575204","https://openalex.org/W1999137714","https://openalex.org/W2953123162","https://openalex.org/W2086414697","https://openalex.org/W2188430267","https://openalex.org/W4298195641","https://openalex.org/W2123129869","https://openalex.org/W1987287817"],"abstract_inverted_index":{"Moving":[0],"object":[1,59,182,204],"detection":[2],"is":[3,79,183],"about":[4],"foreground":[5,44,96,107,156],"and":[6,50,108,117,120,139,144,155,168,189,193],"background":[7,19,46,116,154],"separation":[8],"based":[9],"on":[10,38,152,209],"motion":[11],"detection.":[12,60,129,205],"Detecting":[13],"moving":[14,58,181],"objects":[15],"from":[16,45],"similarly":[17],"colored":[18],"(known":[20],"as":[21,72],"camouflage":[22,70,90,104,128],"problem)":[23],"has":[24,53],"been":[25,54],"a":[26,87,124,133,160,180,198],"long-standing":[27],"open":[28],"question":[29],"in":[30,76,123,127,197],"this":[31,83],"field.":[32],"Discriminative":[33],"modeling":[34,91],"(DM),":[35],"which":[36],"focuses":[37],"enhancing":[39],"the":[40,69,73,101,115,118,137,148,164,177,214,217],"performance":[41],"to":[42,65,93,112,162,201,212],"distinguish":[43],"with":[47],"discriminative":[48],"features":[49],"well-designed":[51,125],"classifiers,":[52],"widely":[55],"used":[56],"for":[57,136,147],"However,":[61],"DM":[62,194],"may":[63],"tend":[64],"fail":[66],"when":[67],"encountering":[68],"problem,":[71],"class":[74],"separability":[75],"camouflaged":[77,95,172,188],"areas":[78],"generally":[80],"poor.":[81],"In":[82,98,174],"paper,":[84],"we":[85,110,131,158],"propose":[86],"new":[88],"strategy,":[89],"(CM),":[92],"identify":[94,170],"pixels.":[97],"view":[99,175],"of":[100,142,166,176,186,216],"fact":[102,178],"that":[103,179],"involves":[105],"both":[106,114,153,187],"background,":[109,138],"need":[111],"model":[113,135],"foreground,":[119,149],"compare":[121],"them":[122],"way":[126],"Specifically,":[130],"develop":[132],"global":[134,143],"an":[140],"integration":[141],"local":[145],"models":[146],"respectively.":[150],"Based":[151],"models,":[157],"introduce":[159],"factor":[161],"measure":[163],"degree":[165],"camouflage,":[167],"further":[169],"truly":[171],"areas.":[173],"usually":[184],"composed":[185],"noncamouflaged":[190],"areas,":[191],"CM":[192],"are":[195,207],"fused":[196],"Bayesian":[199],"framework":[200],"perform":[202],"complete":[203],"Experiments":[206],"conducted":[208],"testing":[210],"sequences":[211],"demonstrate":[213],"effectiveness":[215],"proposed":[218],"algorithm.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":4}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}