{"id":"https://openalex.org/W3216546559","doi":"https://doi.org/10.1109/mits.2021.3122926","title":"SMod: Scene-Specific-Prior\u2013Based Moving Object Detection for Airport Apron Surveillance Systems","display_name":"SMod: Scene-Specific-Prior\u2013Based Moving Object Detection for Airport Apron Surveillance Systems","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W3216546559","doi":"https://doi.org/10.1109/mits.2021.3122926","mag":"3216546559"},"language":"en","primary_location":{"id":"doi:10.1109/mits.2021.3122926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2021.3122926","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"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 Intelligent Transportation Systems Magazine","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":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100554300","display_name":"Yi Qiao","orcid":"https://orcid.org/0009-0002-4807-0633"},"institutions":[{"id":"https://openalex.org/I1299457549","display_name":"Civil Aviation Administration of China","ror":"https://ror.org/05gfwht30","country_code":"CN","type":"government","lineage":["https://openalex.org/I1299457549","https://openalex.org/I4210127216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Qiao","raw_affiliation_strings":["Second Research Institute of Civil Aviation Administration of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Second Research Institute of Civil Aviation Administration of China, Chengdu, China","institution_ids":["https://openalex.org/I1299457549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008236768","display_name":"Yangzhao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangzhao Yang","raw_affiliation_strings":["Shenzhen Cyberaray Network Technology Co. Ltd., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Cyberaray Network Technology Co. Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I4210144487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100328271","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0002-1570-6570"},"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":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100368903"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.50833333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"1","first_page":"58","last_page":"69"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9950000047683716,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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-vision","display_name":"Computer vision","score":0.7166252732276917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7023566365242004},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6752687692642212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5981597900390625},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5221017599105835},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47891461849212646},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4386335015296936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2818721830844879},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12681293487548828},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09838619828224182}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7166252732276917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7023566365242004},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6752687692642212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5981597900390625},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5221017599105835},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47891461849212646},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4386335015296936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2818721830844879},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12681293487548828},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09838619828224182}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mits.2021.3122926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2021.3122926","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"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 Intelligent Transportation Systems Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3332268393","display_name":null,"funder_award_id":"U19A2052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6328832909","display_name":null,"funder_award_id":"U1733111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1481385029","https://openalex.org/W1539417956","https://openalex.org/W1969977005","https://openalex.org/W1970449280","https://openalex.org/W1992608422","https://openalex.org/W1994634851","https://openalex.org/W2035866593","https://openalex.org/W2062520372","https://openalex.org/W2104094303","https://openalex.org/W2111918405","https://openalex.org/W2118143383","https://openalex.org/W2127070222","https://openalex.org/W2138626738","https://openalex.org/W2143516773","https://openalex.org/W2158604775","https://openalex.org/W2166978545","https://openalex.org/W2168954330","https://openalex.org/W2233138502","https://openalex.org/W2782991992","https://openalex.org/W2783946051","https://openalex.org/W2901783607","https://openalex.org/W2901951655","https://openalex.org/W2940797985","https://openalex.org/W2951401720","https://openalex.org/W2983488121","https://openalex.org/W3016796243","https://openalex.org/W3089901222","https://openalex.org/W3089919495","https://openalex.org/W3111983220","https://openalex.org/W3115920199","https://openalex.org/W4243027931","https://openalex.org/W6637369054"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W4390721878","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"The":[0],"detection":[1,11,34,100,136,166],"of":[2,44,61,83,98,217,226],"moving":[3,32,39,195],"objects":[4],"in":[5,168,182,228],"airport":[6,51,57,85,170,208,230],"apron":[7,58,109,171,186,231],"surveillance":[8,211,232],"encounters":[9],"serious":[10],"defects,":[12],"which":[13,102],"reflects":[14,95],"that":[15,55,90,149],"the":[16,21,38,42,45,50,56,80,84,96,105,128,146,150,157,160,165,169,177,207,215,218,224],"classification":[17,158],"is":[18,59,153,180],"biased":[19],"toward":[20],"background.":[22],"In":[23],"this":[24,91],"article,":[25],"we":[26,72,120,202,222],"propose":[27],"a":[28,65,74,99,112,122,134,163,194,198],"new":[29],"method,":[30],"scene-specific-prior\u2013based":[31],"object":[33,40,190,196],"(SMod),":[35],"to":[36,49,78,142,155,159,192,213],"detect":[37,193],"by":[41],"use":[43,73],"prior":[46,124,151,178],"knowledge":[47],"specific":[48],"apron.":[52,86],"We":[53],"find":[54],"made":[60],"concrete":[62],"and":[63,107,188],"has":[64],"special":[66],"gray\u2013white":[67],"color":[68,81,114],"distribution.":[69,115],"Therefore,":[70],"first,":[71],"dual-mode":[75,129],"Gaussian":[76],"distribution":[77,82,93],"fit":[79],"Further":[87],"analysis":[88],"shows":[89],"fitted":[92],"also":[94],"probability":[97,138],"defect,":[101],"occurs":[103],"when":[104],"aircraft":[106],"occluded":[108],"area":[110],"share":[111],"similar":[113],"Based":[116],"on":[117,127,206],"this,":[118],"second,":[119],"present":[121],"scene-specific":[123],"model":[125,152,179,187,191],"based":[126],"distribution,":[130],"where":[131],"pixels":[132],"with":[133,184],"larger":[135],"defect":[137,167],"are":[139],"more":[140],"likely":[141],"be":[143,173],"classified":[144],"as":[145],"foreground,":[147],"so":[148],"able":[154],"bias":[156],"foreground.":[161],"As":[162],"result,":[164],"can":[172],"compensated":[174],"for.":[175],"Third,":[176],"used":[181],"conjunction":[183],"an":[185,189,229],"within":[197],"Bayesian":[199],"framework.":[200],"Next,":[201],"conduct":[203],"comparison":[204],"experiments":[205],"ground":[209],"video":[210],"benchmark":[212],"verify":[214],"effectiveness":[216],"proposed":[219],"algorithm.":[220],"Finally,":[221],"demonstrate":[223],"application":[225],"SMod":[227],"system.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
