{"id":"https://openalex.org/W2928050004","doi":"https://doi.org/10.23919/mva.2019.8758060","title":"Super accurate low latency object detection on a surveillance UAV","display_name":"Super accurate low latency object detection on a surveillance UAV","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2928050004","doi":"https://doi.org/10.23919/mva.2019.8758060","mag":"2928050004"},"language":"en","primary_location":{"id":"doi:10.23919/mva.2019.8758060","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva.2019.8758060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Conference on Machine Vision Applications (MVA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.02024","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088307779","display_name":"Maarten Vandersteegen","orcid":"https://orcid.org/0000-0002-9377-0922"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Maarten Vandersteegen","raw_affiliation_strings":["EAVISE, KU Leuven","Katholieke Universiteit Leuven"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EAVISE, KU Leuven","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Katholieke Universiteit Leuven","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079023555","display_name":"Kristof Vanbeeck","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Kristof Van Beeck","raw_affiliation_strings":["EAVISE, KU Leuven","Katholieke Universiteit Leuven"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EAVISE, KU Leuven","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Katholieke Universiteit Leuven","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057957125","display_name":"Toon Goedem\u00e9","orcid":"https://orcid.org/0000-0002-7477-8961"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Toon Goedeme","raw_affiliation_strings":["EAVISE, KU Leuven","Katholieke Universiteit Leuven"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EAVISE, KU Leuven","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Katholieke Universiteit Leuven","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983999729156494,"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/latency","display_name":"Latency (audio)","score":0.7392023801803589},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7376728057861328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7349281311035156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6003478765487671},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5876942276954651},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.5438554286956787},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5299673676490784},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5012288093566895},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.49481409788131714},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4693105220794678},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43041035532951355},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3333126902580261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1637856662273407},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09064114093780518}],"concepts":[{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.7392023801803589},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7376728057861328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7349281311035156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6003478765487671},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5876942276954651},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.5438554286956787},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5299673676490784},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5012288093566895},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49481409788131714},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4693105220794678},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43041035532951355},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3333126902580261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1637856662273407},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09064114093780518},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.23919/mva.2019.8758060","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva.2019.8758060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Conference on Machine Vision Applications (MVA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1904.02024","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.02024","pdf_url":"https://arxiv.org/pdf/1904.02024","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2928050004","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1904.02024","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/638479","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/638479","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Machine Vision Applications (MVA), Tokio, Japan, 27-31 May 2019","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.1904.02024","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1904.02024","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.02024","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.02024","pdf_url":"https://arxiv.org/pdf/1904.02024","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1921523184","https://openalex.org/W2031342017","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2549139847","https://openalex.org/W2612445135","https://openalex.org/W2743473392","https://openalex.org/W2769604969","https://openalex.org/W2796347433","https://openalex.org/W2798799804","https://openalex.org/W2803739089","https://openalex.org/W2885779420","https://openalex.org/W2888421240","https://openalex.org/W2891465615","https://openalex.org/W2953106684","https://openalex.org/W2962777203","https://openalex.org/W2962965870","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963287528","https://openalex.org/W2963351448","https://openalex.org/W2963575695","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6726275242","https://openalex.org/W6730903564","https://openalex.org/W6739917289","https://openalex.org/W6751373550","https://openalex.org/W6753820832","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2962897380","https://openalex.org/W3157630927","https://openalex.org/W3161499329","https://openalex.org/W3203806933","https://openalex.org/W2909428641","https://openalex.org/W3153288312","https://openalex.org/W2949989527","https://openalex.org/W3012054770","https://openalex.org/W3135934332","https://openalex.org/W2798965597","https://openalex.org/W2336461971","https://openalex.org/W2950654057","https://openalex.org/W1510578813","https://openalex.org/W2766984662","https://openalex.org/W2908161373","https://openalex.org/W2939563696","https://openalex.org/W2005770751","https://openalex.org/W2396501236","https://openalex.org/W2890710017","https://openalex.org/W2919935710"],"abstract_inverted_index":{"Drones":[0],"have":[1],"proven":[2],"to":[3,60,123],"be":[4],"useful":[5],"in":[6,36,45,132],"many":[7],"industry":[8],"segments":[9],"such":[10,108],"as":[11],"security":[12],"and":[13,29,68,90,100,126,140],"surveillance,":[14],"where":[15,144],"e.g.":[16],"on-board":[17,116],"real-time":[18,37],"object":[19,43,62,80],"tracking":[20],"is":[21,33],"a":[22,58,73,147],"necessity":[23],"for":[24,64],"autonomous":[25],"flying":[26,95],"guards.":[27],"Tracking":[28],"following":[30],"suspicious":[31],"objects":[32],"therefore":[34],"required":[35],"on":[38,87,114,136],"limited":[39],"hardware.":[40],"With":[41],"an":[42],"detector":[44],"the":[46],"loop,":[47],"low":[48],"latency":[49,113],"becomes":[50],"extremely":[51],"important.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,110,145],"propose":[57,72],"solution":[59],"make":[61],"detection":[63,81],"UAVs":[65],"both":[66],"fast":[67],"super":[69],"accurate.":[70],"We":[71,104,134],"multi-dataset":[74],"learning":[75],"strategy":[76],"yielding":[77],"top":[78],"eye-sky":[79],"accuracy.":[82,133],"Our":[83],"model":[84],"generalizes":[85],"well":[86],"unseen":[88],"data":[89],"can":[91],"cope":[92],"with":[93,129],"different":[94,101],"heights,":[96],"optically":[97],"zoomed-in":[98],"shots":[99],"viewing":[102],"angles.":[103],"apply":[105],"optimization":[106],"steps":[107],"that":[109],"achieve":[111,146],"minimal":[112],"embedded":[115],"hardware":[117],"by":[118],"fusing":[119],"layers,":[120],"quantizing":[121],"calculations":[122],"16-bit":[124],"floats":[125],"8-bit":[127],"integers,":[128],"negligible":[130],"loss":[131],"validate":[135],"NVIDIA's":[137],"Jetson":[138,141],"TX2":[139],"Xavier":[142],"platforms":[143],"speed-wise":[148],"performance":[149],"boost":[150],"of":[151],"more":[152],"than":[153],"10\u00d7.":[154]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
