{"id":"https://openalex.org/W3163707817","doi":"https://doi.org/10.1109/kst51265.2021.9415766","title":"A Shadow Detection Method for Retaining Key Objects in Complex Scenes","display_name":"A Shadow Detection Method for Retaining Key Objects in Complex Scenes","publication_year":2021,"publication_date":"2021-01-21","ids":{"openalex":"https://openalex.org/W3163707817","doi":"https://doi.org/10.1109/kst51265.2021.9415766","mag":"3163707817"},"language":"en","primary_location":{"id":"doi:10.1109/kst51265.2021.9415766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst51265.2021.9415766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Knowledge and Smart Technology (KST)","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/A5035953000","display_name":"Jingyi Cao","orcid":"https://orcid.org/0000-0002-5754-9016"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingyi Cao","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing Institute of Advanced Artificial Intelligence,Nanjing,China,210046"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing Institute of Advanced Artificial Intelligence,Nanjing,China,210046","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040090541","display_name":"Chenglei Peng","orcid":"https://orcid.org/0000-0003-2030-2877"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglei Peng","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing Institute of Advanced Artificial Intelligence,Nanjing,China,210046"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing Institute of Advanced Artificial Intelligence,Nanjing,China,210046","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421480","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-3006-7420"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing Institute of Advanced Artificial Intelligence,Nanjing,China,210046"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing Institute of Advanced Artificial Intelligence,Nanjing,China,210046","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016539834","display_name":"Sidan Du","orcid":"https://orcid.org/0000-0002-9966-3765"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sidan Du","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing Institute of Advanced Artificial Intelligence,Nanjing,China,210046"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing Institute of Advanced Artificial Intelligence,Nanjing,China,210046","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035953000"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36415033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.998199999332428,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9976000189781189,"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":0.8200466632843018},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.8132908344268799},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.757035493850708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7493511438369751},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.7035472393035889},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6156783103942871},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5441060066223145},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.529827892780304},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11994946002960205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8200466632843018},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.8132908344268799},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.757035493850708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7493511438369751},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7035472393035889},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6156783103942871},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5441060066223145},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.529827892780304},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11994946002960205},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst51265.2021.9415766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst51265.2021.9415766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1572666543","https://openalex.org/W1599187539","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1965740104","https://openalex.org/W1970790442","https://openalex.org/W1998270967","https://openalex.org/W2027850463","https://openalex.org/W2037265295","https://openalex.org/W2038174692","https://openalex.org/W2113449189","https://openalex.org/W2115579991","https://openalex.org/W2147558395","https://openalex.org/W2149550213","https://openalex.org/W2166502676","https://openalex.org/W2288122362","https://openalex.org/W2317851288","https://openalex.org/W2395611524","https://openalex.org/W2397830550","https://openalex.org/W2412782625","https://openalex.org/W2519623608","https://openalex.org/W2549139847","https://openalex.org/W2555182955","https://openalex.org/W2771617895","https://openalex.org/W2777654136","https://openalex.org/W2884217841","https://openalex.org/W2895126795","https://openalex.org/W2919115771","https://openalex.org/W2948670693","https://openalex.org/W2963150697","https://openalex.org/W2963881378","https://openalex.org/W2963968420","https://openalex.org/W3003576934","https://openalex.org/W3102699694","https://openalex.org/W6620707391","https://openalex.org/W6635734457","https://openalex.org/W6639102338","https://openalex.org/W6639824700","https://openalex.org/W6696141924","https://openalex.org/W6712616374","https://openalex.org/W6715287400"],"related_works":["https://openalex.org/W2893218741","https://openalex.org/W4392589133","https://openalex.org/W2558319350","https://openalex.org/W1492594177","https://openalex.org/W1842742976","https://openalex.org/W2803235238","https://openalex.org/W3112085556","https://openalex.org/W399661440","https://openalex.org/W4392585872","https://openalex.org/W410356389"],"abstract_inverted_index":{"The":[0],"existing":[1],"shadow":[2,11,114,136],"detection":[3,115,137],"methods":[4],"have":[5,96],"achieved":[6],"good":[7],"results":[8],"on":[9,102],"standard":[10],"datasets":[12,105],"such":[13],"as":[14,31,132],"SBU":[15],"and":[16,86,134],"UCF.":[17],"However,":[18],"in":[19,59,83,108,126],"actual":[20],"large-scale":[21],"scenes,":[22],"key":[23,81,124],"objects":[24,82],"covered":[25],"by":[26],"shadows":[27],"are":[28,43],"often":[29],"regarded":[30],"shadows,":[32,72,133],"which":[33],"may":[34],"harm":[35],"computer":[36,56,109],"vision":[37,57],"tasks.":[38],"In":[39],"the":[40,44,48,64,84,123,127],"paper,":[41],"we":[42],"first":[45],"to":[46,70,79,90,99,120],"propose":[47],"Object-aware":[49],"Shadow":[50],"Detection":[51],"Network":[52],"(OSD-Net)":[53],"model":[54],"for":[55],"tasks":[58],"complex":[60],"scenes.":[61],"It":[62],"introduces":[63],"direction-aware":[65],"spatial":[66],"context":[67],"(DSC)":[68],"module":[69],"detect":[71],"uses":[73],"semantic":[74],"segmentation":[75],"with":[76,112],"Mask":[77],"RCNN":[78],"extract":[80],"picture,":[85],"designs":[87],"a":[88],"function":[89],"perform":[91],"mask":[92],"fusion.":[93],"Qualitative":[94],"experiments":[95],"been":[97],"performed":[98],"test":[100],"OSD-Net":[101,117],"three":[103],"public":[104],"commonly":[106],"used":[107],"vision.":[110],"Compared":[111],"popular":[113],"methods,":[116],"is":[118],"able":[119],"effectively":[121],"protect":[122],"targets":[125],"picture":[128],"from":[129],"being":[130],"misjudged":[131],"ensure":[135],"accuracy.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}