{"id":"https://openalex.org/W4220927973","doi":"https://doi.org/10.1109/icce53296.2022.9730191","title":"Efficient Light-Weight Deep Neural Network for Person Detection in Drone Images","display_name":"Efficient Light-Weight Deep Neural Network for Person Detection in Drone Images","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4220927973","doi":"https://doi.org/10.1109/icce53296.2022.9730191"},"language":"en","primary_location":{"id":"doi:10.1109/icce53296.2022.9730191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce53296.2022.9730191","pdf_url":null,"source":{"id":"https://openalex.org/S4363608007","display_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","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/A5101958746","display_name":"Mingi Kim","orcid":"https://orcid.org/0000-0002-0784-0227"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mingi Kim","raw_affiliation_strings":["Image Processing and Intelligent System Laboratory Graduate School of Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Image Processing and Intelligent System Laboratory Graduate School of Artificial Intelligence","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013115843","display_name":"Heegwang Kim","orcid":"https://orcid.org/0000-0002-6059-6008"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heegwang Kim","raw_affiliation_strings":["Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University,Seoul,Korea","Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University,Seoul,Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016816750","display_name":"Yeongheon Mok","orcid":"https://orcid.org/0000-0002-3108-3844"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yeongheon Mok","raw_affiliation_strings":["Image Processing and Intelligent System Laboratory Graduate School of Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Image Processing and Intelligent System Laboratory Graduate School of Artificial Intelligence","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013926864","display_name":"Joonki Paik","orcid":"https://orcid.org/0000-0002-8593-7155"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joonki Paik","raw_affiliation_strings":["Image Processing and Intelligent System Laboratory Graduate School of Artificial Intelligence","Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Image Processing and Intelligent System Laboratory Graduate School of Artificial Intelligence","institution_ids":[]},{"raw_affiliation_string":"Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101958746"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.06,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21944959,"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":"1","last_page":"3"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8066855669021606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7282227873802185},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7015683054924011},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6905727386474609},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6872231960296631},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.6793268322944641},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6602440476417542},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5554547905921936},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.547982394695282},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5097190737724304},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4605822265148163},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43173345923423767}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8066855669021606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7282227873802185},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7015683054924011},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6905727386474609},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6872231960296631},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.6793268322944641},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6602440476417542},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5554547905921936},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.547982394695282},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5097190737724304},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4605822265148163},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43173345923423767},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce53296.2022.9730191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce53296.2022.9730191","pdf_url":null,"source":{"id":"https://openalex.org/S4363608007","display_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G169117410","display_name":null,"funder_award_id":"2021-0-01341","funder_id":"https://openalex.org/F4320324891","funder_display_name":"Iran Telecommunication Research Center"}],"funders":[{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2565639579","https://openalex.org/W2899607431","https://openalex.org/W2962777203","https://openalex.org/W2963351448","https://openalex.org/W3018757597","https://openalex.org/W3208645658"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4212885606"],"abstract_inverted_index":{"In":[0,43],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5],"efficient":[6,28],"light-weight":[7,24,97],"deep":[8],"neural":[9],"network":[10],"model":[11],"for":[12],"small":[13,29,55],"object":[14,30,56,73],"(person)":[15],"detection":[16,31],"in":[17,80],"drone":[18,82,104],"images.":[19],"The":[20],"proposed":[21],"method":[22],"performs":[23],"as":[25,27],"well":[26],"by":[32,49,88],"removing":[33],"the":[34,45,51,54,62,67,72,75,81,84,90,96,103,106,112,119],"head":[35],"layers":[36],"that":[37,98],"detects":[38],"large":[39],"and":[40,74,105,111],"medium-sized":[41],"objects.":[42],"addition,":[44],"feature":[46,59],"was":[47],"extracted":[48],"focusing":[50],"weight":[52],"on":[53,102],"while":[57],"performing":[58],"fusion":[60],"through":[61],"Weighting":[63],"Module.":[64],"Finally,":[65],"since":[66],"class":[68],"imbalance":[69],"problem":[70,85],"between":[71],"background":[76],"is":[77,86,116],"more":[78],"serious":[79],"image,":[83],"alleviated":[87],"using":[89],"focal":[91],"loss.":[92],"As":[93],"a":[94],"result,":[95],"can":[99],"be":[100],"mounted":[101],"inference":[107],"time":[108],"are":[109],"faster,":[110],"Average":[113],"Precision":[114],"(AP)":[115],"higher":[117],"than":[118],"original":[120],"model.":[121]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}