{"id":"https://openalex.org/W2889540775","doi":"https://doi.org/10.1109/icca.2018.8444232","title":"Visual Target Detection and Tracking Framework Using Deep Convolutional Neural Networks for Micro Aerial Vehicles","display_name":"Visual Target Detection and Tracking Framework Using Deep Convolutional Neural Networks for Micro Aerial Vehicles","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2889540775","doi":"https://doi.org/10.1109/icca.2018.8444232","mag":"2889540775"},"language":"en","primary_location":{"id":"doi:10.1109/icca.2018.8444232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2018.8444232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 14th International Conference on Control and Automation (ICCA)","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/A5056389358","display_name":"Mingjie Lao","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mingjie Lao","raw_affiliation_strings":["Temasek Laboratories, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Temasek Laboratories, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100326722","display_name":"Xudong Chen","orcid":"https://orcid.org/0000-0002-2773-2741"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xudong Chen","raw_affiliation_strings":["Temasek Laboratories, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Temasek Laboratories, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101904898","display_name":"Feng Lin","orcid":"https://orcid.org/0000-0001-8541-7400"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Feng Lin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102981837","display_name":"Qin Geng","orcid":"https://orcid.org/0000-0002-8498-3491"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Geng Qin","raw_affiliation_strings":["Temasek Laboratories, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Temasek Laboratories, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743529","display_name":"Wenqi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wenqi Liu","raw_affiliation_strings":["Temasek Laboratories, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Temasek Laboratories, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048421704","display_name":"Yu Zhou","orcid":"https://orcid.org/0000-0002-3224-0063"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yu Zhou","raw_affiliation_strings":["Temasek Laboratories, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Temasek Laboratories, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"abs 1511 6530","issue":null,"first_page":"276","last_page":"281"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9965000152587891,"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/detector","display_name":"Detector","score":0.756117582321167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7348847389221191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7238768935203552},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6643531918525696},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6622529029846191},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5716336965560913},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4933115541934967},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.47499528527259827},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.44393986463546753},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4263150691986084},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3659083843231201},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.28655943274497986}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.756117582321167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7348847389221191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7238768935203552},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6643531918525696},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6622529029846191},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5716336965560913},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4933115541934967},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.47499528527259827},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.44393986463546753},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4263150691986084},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3659083843231201},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.28655943274497986},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca.2018.8444232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2018.8444232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 14th International Conference on Control and Automation (ICCA)","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":24,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1903029394","https://openalex.org/W1964846093","https://openalex.org/W2108598243","https://openalex.org/W2154889144","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2400311187","https://openalex.org/W2470394683","https://openalex.org/W2483979920","https://openalex.org/W2570343428","https://openalex.org/W2613718673","https://openalex.org/W2624848721","https://openalex.org/W2743674031","https://openalex.org/W2756226587","https://openalex.org/W2962988160","https://openalex.org/W2963037989","https://openalex.org/W2964253307","https://openalex.org/W6620707391","https://openalex.org/W6684191040","https://openalex.org/W6685627644","https://openalex.org/W6703518758","https://openalex.org/W6720898849"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2394134009","https://openalex.org/W1971984615","https://openalex.org/W2046099857"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,30,35,43,48,101,116,132],"visual":[4],"detection":[5,69,151],"and":[6,34,50,125,152],"tracking":[7,75,153],"framework":[8,24,145],"which":[9],"estimates":[10],"smooth":[11],"target":[12,49,56,126],"position":[13,57],"for":[14],"various":[15],"applications":[16],"on":[17,85,160],"micro":[18],"aerial":[19],"vehicles":[20],"(MAVs).":[21],"The":[22,39,54,97,121],"proposed":[23,144],"consists":[25],"of":[26,123],"two":[27,93],"major":[28],"components:":[29],"deep":[31],"learning-based":[32],"detector":[33,40,66,98],"correlation":[36],"filter-based":[37],"tracker.":[38,53],"running":[41],"at":[42,92,100,115],"low":[44],"frequency":[45],"first":[46],"detects":[47],"initializes":[51],"the":[52,59,65,68,74,81,112,138,143],"estimated":[55],"from":[58],"tracker":[60,113],"will":[61],"be":[62],"updated":[63],"by":[64],"when":[67],"confidence":[70],"is":[71,76,129,146],"high":[72],"or":[73],"considered":[77],"fail.":[78],"Due":[79],"to":[80,136,148],"limited":[82],"computational":[83],"power":[84],"most":[86],"MAV":[87,117],"platforms,":[88],"algorithms":[89],"are":[90],"implemented":[91],"separated":[94],"processing":[95],"units.":[96],"runs":[99,114],"ground":[102],"control":[103],"station":[104],"(GCS)":[105],"equipped":[106],"with":[107,154],"NVIDIA":[108],"GTX":[109],"1060":[110],"while":[111],"onboard":[118],"low-cost":[119],"CPU.":[120],"transmission":[122],"image":[124],"pose":[127],"information":[128],"bridged":[130],"via":[131],"high-speed":[133],"Wi-Fi":[134],"network":[135],"minimize":[137],"latency.":[139],"In":[140],"our":[141,161],"experiment,":[142],"able":[147],"realize":[149],"real-time":[150],"30":[155],"frames":[156],"per":[157],"second":[158],"(FPS)":[159],"system.":[162]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}