{"id":"https://openalex.org/W2922329291","doi":"https://doi.org/10.1109/robio.2018.8665167","title":"Unmanned Aerial Vehicle (UAV) Based Running Person Detection from a Real-Time Moving Camera","display_name":"Unmanned Aerial Vehicle (UAV) Based Running Person Detection from a Real-Time Moving Camera","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2922329291","doi":"https://doi.org/10.1109/robio.2018.8665167","mag":"2922329291"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2018.8665167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8665167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5005350759","display_name":"Happiness Ugochi Dike","orcid":"https://orcid.org/0000-0003-2050-4831"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Happiness Ugochi Dike","raw_affiliation_strings":["Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045187270","display_name":"Qingtian Wu","orcid":"https://orcid.org/0000-0002-2475-9156"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingtian Wu","raw_affiliation_strings":["Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016437592","display_name":"Yimin Zhou","orcid":"https://orcid.org/0000-0003-2337-776X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Zhou","raw_affiliation_strings":["Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100514911","display_name":"Liang Gong","orcid":"https://orcid.org/0009-0001-8481-1219"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gong Liang","raw_affiliation_strings":["Guangdong Provincial Engineering and Technology Research Center of Intelligent Unmanned System and Autonomous Environmental Perception, Key Laboratory of Human-Machine Intelligence Synergic Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Engineering and Technology Research Center of Intelligent Unmanned System and Autonomous Environmental Perception, Key Laboratory of Human-Machine Intelligence Synergic Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6085,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81161133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"125","issue":null,"first_page":"2273","last_page":"2278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/computer-science","display_name":"Computer science","score":0.7098762392997742},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6647152304649353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6027078032493591},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5305113196372986},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.50010085105896},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.47778329253196716},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.33893412351608276},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.11481031775474548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098762392997742},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6647152304649353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6027078032493591},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5305113196372986},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.50010085105896},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.47778329253196716},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.33893412351608276},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.11481031775474548},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2018.8665167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8665167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1957441468","https://openalex.org/W1968194252","https://openalex.org/W1981690742","https://openalex.org/W1982764079","https://openalex.org/W1992825118","https://openalex.org/W1994623790","https://openalex.org/W2002419534","https://openalex.org/W2032383936","https://openalex.org/W2069209512","https://openalex.org/W2078029357","https://openalex.org/W2100519657","https://openalex.org/W2110383222","https://openalex.org/W2112108686","https://openalex.org/W2163612318","https://openalex.org/W2165346133","https://openalex.org/W2181231176","https://openalex.org/W2183760811","https://openalex.org/W2184544926","https://openalex.org/W2184962292","https://openalex.org/W2218145876","https://openalex.org/W2296663812","https://openalex.org/W2324914223","https://openalex.org/W2343678873","https://openalex.org/W2470298302","https://openalex.org/W2513251345","https://openalex.org/W2525033133","https://openalex.org/W2562594684","https://openalex.org/W2568302599","https://openalex.org/W2579718262","https://openalex.org/W2584978655","https://openalex.org/W2586015410","https://openalex.org/W2769604969","https://openalex.org/W2770724256","https://openalex.org/W2794750002","https://openalex.org/W2964232409","https://openalex.org/W3151111735","https://openalex.org/W4232783703","https://openalex.org/W4285719527","https://openalex.org/W6668194633","https://openalex.org/W6675206091","https://openalex.org/W6686705387","https://openalex.org/W6697281484","https://openalex.org/W6720505622","https://openalex.org/W6721104598","https://openalex.org/W6731370094","https://openalex.org/W6731992678"],"related_works":["https://openalex.org/W3101676691","https://openalex.org/W3197607112","https://openalex.org/W2922421953","https://openalex.org/W3002270006","https://openalex.org/W4285602384","https://openalex.org/W2782964878","https://openalex.org/W4281560450","https://openalex.org/W1497101000","https://openalex.org/W4224881325","https://openalex.org/W4226383822"],"abstract_inverted_index":{"The":[0,48,127],"information":[1],"captured":[2],"by":[3,57],"Unmanned":[4],"Aerial":[5],"Vehicles":[6],"(UAVs)":[7],"are":[8],"highly":[9],"exploited":[10],"to":[11,45,68,98,111,121],"detect":[12,144],"a":[13,63,91,156],"running":[14,145],"person":[15,146],"which":[16],"is":[17],"given":[18],"in":[19,34,84,119,133,147],"this":[20,23,75],"paper.":[21],"In":[22],"scheme,":[24],"11":[25],"frame":[26],"per":[27],"seconds":[28],"and":[29,51,89,136,150],"an":[30,123],"adequate":[31,124],"detection":[32,53,125,159],"precision":[33,50],"outdoor":[35],"background":[36],"was":[37],"realized,":[38],"using":[39],"one":[40],"dispensation":[41],"thread":[42],"without":[43],"resorting":[44],"distinct":[46],"hardware.":[47],"high":[49,158],"realtime":[52],"were":[54],"made":[55],"promising":[56],"two":[58,86],"aids.":[59],"First,":[60],"we":[61,105],"used":[62,107],"progression":[64],"of":[65,72],"preprocessing":[66],"procedures":[67],"extract":[69],"the":[70,81,140,152],"regions":[71],"interest":[73],"(ROI),":[74],"includes":[76],"spatial":[77],"domain":[78],"analysis,":[79],"calculating":[80],"optical":[82,96],"flow":[83,97],"every":[85],"consecutive":[87],"images":[88],"having":[90],"predefined":[92],"threshold":[93],"built":[94],"on":[95],"select":[99],"actual":[100],"areas":[101],"as":[102],"ROIs.":[103],"Secondly,":[104],"also":[106],"relatively":[108],"minor-batch":[109],"models":[110],"train":[112],"our":[113],"5-layer":[114],"convolutional":[115],"neural":[116],"networks":[117],"(CNN)":[118],"order":[120],"realize":[122],"ratio.":[126,160],"experiments":[128],"from":[129],"numerous":[130],"videos":[131],"shot":[132],"diverse":[134],"time":[135],"locations":[137],"proved":[138],"that":[139],"proposed":[141],"scheme":[142],"can":[143],"outdoors":[148],"efficiently":[149],"enhance":[151],"Realtime":[153],"necessity":[154],"with":[155],"very":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
