{"id":"https://openalex.org/W4212931582","doi":"https://doi.org/10.1109/iotm.001.2100088","title":"Unmanned Aerial Multi-Object Dynamic Frame Detection and Skipping Using Deep Learning on the Internet of Drones","display_name":"Unmanned Aerial Multi-Object Dynamic Frame Detection and Skipping Using Deep Learning on the Internet of Drones","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4212931582","doi":"https://doi.org/10.1109/iotm.001.2100088"},"language":"en","primary_location":{"id":"doi:10.1109/iotm.001.2100088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotm.001.2100088","pdf_url":null,"source":{"id":"https://openalex.org/S4210201254","display_name":"IEEE Internet of Things Magazine","issn_l":"2576-3180","issn":["2576-3180","2576-3199"],"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 Internet of Things 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/A5091198094","display_name":"Usman Ahmed","orcid":"https://orcid.org/0000-0002-3933-4273"},"institutions":[{"id":"https://openalex.org/I179863766","display_name":"Western Norway University of Applied Sciences","ror":"https://ror.org/05phns765","country_code":"NO","type":"education","lineage":["https://openalex.org/I179863766"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Usman Ahmed","raw_affiliation_strings":["Western Norway University of Applied Sciences,Norway","Western Norway University of Applied Sciences, Norway"],"affiliations":[{"raw_affiliation_string":"Western Norway University of Applied Sciences,Norway","institution_ids":["https://openalex.org/I179863766"]},{"raw_affiliation_string":"Western Norway University of Applied Sciences, Norway","institution_ids":["https://openalex.org/I179863766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000640263","display_name":"Jerry Chun\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8768-9709"},"institutions":[{"id":"https://openalex.org/I179863766","display_name":"Western Norway University of Applied Sciences","ror":"https://ror.org/05phns765","country_code":"NO","type":"education","lineage":["https://openalex.org/I179863766"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["Western Norway University of Applied Sciences,Norway","Western Norway University of Applied Sciences, Norway"],"affiliations":[{"raw_affiliation_string":"Western Norway University of Applied Sciences,Norway","institution_ids":["https://openalex.org/I179863766"]},{"raw_affiliation_string":"Western Norway University of Applied Sciences, Norway","institution_ids":["https://openalex.org/I179863766"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041541232","display_name":"Gautam Srivastava","orcid":"https://orcid.org/0000-0001-9851-4103"},"institutions":[{"id":"https://openalex.org/I48890080","display_name":"Brandon University","ror":"https://ror.org/02qp25a50","country_code":"CA","type":"education","lineage":["https://openalex.org/I48890080"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Gautam Srivastava","raw_affiliation_strings":["Brandon University,Canada","Brandon University, Canada"],"affiliations":[{"raw_affiliation_string":"Brandon University,Canada","institution_ids":["https://openalex.org/I48890080"]},{"raw_affiliation_string":"Brandon University, Canada","institution_ids":["https://openalex.org/I48890080"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091198094"],"corresponding_institution_ids":["https://openalex.org/I179863766"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57848039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"4","issue":"4","first_page":"36","last_page":"39"},"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/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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.9425705671310425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7161972522735596},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6923830509185791},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5969690084457397},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5383670330047607},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5381302237510681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5331394672393799},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5003910064697266},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4948267340660095},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4746283292770386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4491090178489685},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.125984787940979},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10004734992980957},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.09166795015335083}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.9425705671310425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7161972522735596},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6923830509185791},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5969690084457397},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5383670330047607},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5381302237510681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5331394672393799},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5003910064697266},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4948267340660095},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4746283292770386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4491090178489685},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.125984787940979},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10004734992980957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.09166795015335083},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iotm.001.2100088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotm.001.2100088","pdf_url":null,"source":{"id":"https://openalex.org/S4210201254","display_name":"IEEE Internet of Things Magazine","issn_l":"2576-3180","issn":["2576-3180","2576-3199"],"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 Internet of Things Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2016053056","https://openalex.org/W2117539524","https://openalex.org/W2618530766","https://openalex.org/W2775795276","https://openalex.org/W2798365843","https://openalex.org/W2810301424","https://openalex.org/W2917452308","https://openalex.org/W2919115771","https://openalex.org/W2991415804","https://openalex.org/W3090912710","https://openalex.org/W3120903390","https://openalex.org/W3142822491","https://openalex.org/W3164437983","https://openalex.org/W3185861473","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4327774218","https://openalex.org/W3206445629","https://openalex.org/W2970686063","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W3210378990"],"abstract_inverted_index":{"The":[0,78,101,127,166],"Internet":[1],"of":[2,27,53,59,70,158],"Drones":[3],"(IoD)":[4],"has":[5,169],"a":[6,71,93,97,106,122,133,173],"revolutionary":[7],"impact":[8],"on":[9,65],"monitoring":[10],"and":[11,55,68,85,91,116,137,146,156,181],"preserving":[12],"the":[13,25,40,51,56,66,113,119,140,144,149],"environment.":[14],"Traffic":[15],"regulations":[16],"face":[17],"enormous":[18],"challenges":[19],"due":[20,47],"to":[21,48,74,88,110,143,176],"rapid":[22],"growth":[23],"in":[24,44,96,121,163],"number":[26],"vehicles.":[28,60],"In":[29],"IoD,":[30],"multiple-aerial-drone":[31],"video":[32,83,114,135,141],"sensing":[33],"infrastructure":[34],"can":[35],"increase":[36],"detected":[37],"objects.":[38],"However,":[39],"main":[41],"difficulty":[42],"lies":[43],"picture":[45],"quality":[46],"lighting":[49],"conditions,":[50],"angle":[52],"view,":[54],"physical":[57],"structure":[58],"This":[61],"research":[62],"mainly":[63],"focuses":[64],"development":[67],"deployment":[69],"deep-learning-based":[72],"system":[73],"analyze":[75],"traffic":[76,99,161],"congestion.":[77],"model":[79,102,155,168],"uses":[80],"multiple":[81],"drone":[82,125,182],"feeds":[84],"vehicle":[86,95,151],"information":[87],"detect,":[89],"classify,":[90],"count":[92],"transport":[94],"live":[98],"feed.":[100],"is":[103],"trained":[104],"with":[105],"deep":[107],"learning":[108],"approach":[109],"first":[111],"align":[112],"frame":[115,142],"then":[117],"detect":[118,160],"object":[120],"top-down":[123],"aerial":[124],"video.":[126],"dynamic":[128],"skipping":[129],"method":[130],"helps":[131],"process":[132],"long":[134],"feed":[136],"accurately":[138],"compares":[139],"viewer,":[145],"then,":[147],"using":[148],"standard":[150],"query":[152],"(i.e.,":[153],"make,":[154],"year":[157],"manufacture),":[159],"scenarios":[162],"real":[164],"time.":[165],"proposed":[167],"many":[170],"applications":[171],"requiring":[172],"particular":[174],"area":[175],"monitor":[177],"real-time":[178],"data":[179],"analysis":[180],"routine":[183],"tasks.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}