{"id":"https://openalex.org/W2886271031","doi":"https://doi.org/10.2352/issn.2470-1173.2018.10.imawm-466","title":"Deep Learning for Moving Object Detection and Tracking from a Single Camera in Unmanned Aerial Vehicles (UAVs)","display_name":"Deep Learning for Moving Object Detection and Tracking from a Single Camera in Unmanned Aerial Vehicles (UAVs)","publication_year":2018,"publication_date":"2018-01-28","ids":{"openalex":"https://openalex.org/W2886271031","doi":"https://doi.org/10.2352/issn.2470-1173.2018.10.imawm-466","mag":"2886271031"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2018.10.imawm-466","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2018.10.imawm-466","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5068927047","display_name":"Dong Hye Ye","orcid":"https://orcid.org/0000-0002-9186-4095"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dong Hye Ye","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683640","display_name":"Jing Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020539543","display_name":"Qiulin Chen","orcid":"https://orcid.org/0000-0002-7077-6889"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiulin Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072528523","display_name":"Juan Wachs","orcid":"https://orcid.org/0000-0002-6425-5745"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan Wachs","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5056657991","display_name":"Charles A. Bouman","orcid":"https://orcid.org/0000-0001-8504-0383"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Charles Bouman","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068927047"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6114,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.92835227,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"30","issue":"10","first_page":"466","last_page":"1"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9988999962806702,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7889856100082397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7862343788146973},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7643208503723145},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.593978226184845},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5167462229728699},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.51539146900177},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4737711250782013},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.47085684537887573},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3370564877986908},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.26758307218551636},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17148810625076294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.16071882843971252}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7889856100082397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7862343788146973},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7643208503723145},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.593978226184845},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5167462229728699},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.51539146900177},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4737711250782013},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.47085684537887573},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3370564877986908},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.26758307218551636},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17148810625076294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.16071882843971252}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2018.10.imawm-466","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2018.10.imawm-466","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W625921622","https://openalex.org/W1481797078","https://openalex.org/W1996130600","https://openalex.org/W1999853363","https://openalex.org/W2019400639","https://openalex.org/W2025864680","https://openalex.org/W2062014385","https://openalex.org/W2115213191","https://openalex.org/W2118877769","https://openalex.org/W2120617193","https://openalex.org/W2125207652","https://openalex.org/W2130103520","https://openalex.org/W2131747574","https://openalex.org/W2145938889","https://openalex.org/W2159386181","https://openalex.org/W2163395004","https://openalex.org/W2166489002","https://openalex.org/W2210091935","https://openalex.org/W2565776924","https://openalex.org/W2949117887","https://openalex.org/W3097096317","https://openalex.org/W3098564007"],"related_works":["https://openalex.org/W4281560450","https://openalex.org/W2534746541","https://openalex.org/W2922421953","https://openalex.org/W2548411843","https://openalex.org/W2811496562","https://openalex.org/W1497101000","https://openalex.org/W2624549608","https://openalex.org/W2330524259","https://openalex.org/W2309573947","https://openalex.org/W2721175714"],"abstract_inverted_index":{"Unmanned":[0],"Aerial":[1],"Vehicles":[2],"(UAVs)":[3],"gain":[4],"popularity":[5],"in":[6,31,59,117],"a":[7,32,70,84,93,98,107,182],"wide":[8],"range":[9],"of":[10,22,37],"civilian":[11],"and":[12,39,66,89,111,144,192],"military":[13],"applications.":[14],"Such":[15],"emerging":[16],"interest":[17],"is":[18,159],"pushing":[19],"the":[20,46,118,155,170],"development":[21],"effective":[23],"collision":[24,56],"avoidance":[25,57],"systems":[26,58],"which":[27,72],"are":[28,52],"especially":[29],"crucial":[30],"crowded":[33],"airspace":[34],"setting.":[35],"Because":[36],"cost":[38],"weight":[40],"limitations":[41],"associated":[42],"with":[43,154,196],"UAVs'":[44],"payload,":[45],"optical":[47,141],"sensors,":[48],"simply":[49],"digital":[50],"cameras,":[51],"widely":[53],"used":[54],"for":[55],"UAVs.":[60],"This":[61],"requires":[62],"moving":[63,114,133,163],"object":[64,115,134],"detection":[65],"tracking":[67],"algorithms":[68],"from":[69,92,181],"video,":[71],"can":[73,189],"be":[74],"run":[75],"on":[76,97,127,149,161,177],"board":[77],"efficiently.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82,102,136],"present":[83],"new":[85],"approach":[86],"to":[87,165],"detect":[88,191],"track":[90,193],"UAVs":[91,195],"single":[94],"camera":[95],"mounted":[96],"different":[99],"UAV.":[100,183],"Initially,":[101],"estimate":[103],"background":[104,119],"motions":[105],"via":[106],"perspective":[108],"transformation":[109],"model":[110],"then":[112,145],"identify":[113],"candidates":[116],"subtracted":[120],"image":[121],"through":[122,140],"deep":[123],"learning":[124],"classifier":[125],"trained":[126],"manually":[128],"labeled":[129],"datasets.":[130],"For":[131],"each":[132],"candidates,":[135],"find":[137],"spatio-temporal":[138],"traits":[139],"flow":[142],"matching":[143],"prune":[146],"them":[147],"based":[148],"their":[150],"motion":[151],"patterns":[152],"compared":[153],"background.":[156],"Kalman":[157],"filter":[158],"applied":[160],"pruned":[162],"objects":[164],"improve":[166],"temporal":[167],"consistency":[168],"among":[169],"candidate":[171],"detections.":[172],"The":[173],"algorithm":[174,188],"was":[175],"validated":[176],"video":[178],"datasets":[179],"taken":[180],"Results":[184],"demonstrate":[185],"that":[186],"our":[187],"effectively":[190],"small":[194],"limited":[197],"computing":[198],"resources.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
