{"id":"https://openalex.org/W2887421219","doi":"https://doi.org/10.1109/icufn.2018.8436727","title":"Dynamic Detection-Tracking Switching","display_name":"Dynamic Detection-Tracking Switching","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2887421219","doi":"https://doi.org/10.1109/icufn.2018.8436727","mag":"2887421219"},"language":"en","primary_location":{"id":"doi:10.1109/icufn.2018.8436727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2018.8436727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)","raw_type":"proceedings-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/A5063262604","display_name":"Andries Bruno","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Andries Bruno","raw_affiliation_strings":["KAIST, School of Computing, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, School of Computing, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004200156","display_name":"Junhyeon Park","orcid":"https://orcid.org/0000-0003-1069-1813"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junhyeon Park","raw_affiliation_strings":["KAIST, School of Computing, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, School of Computing, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112605788","display_name":"Sungju Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"SungJu Hwang","raw_affiliation_strings":["KAIST, School of Computing, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, School of Computing, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100630443","display_name":"Minwoo Kim","orcid":"https://orcid.org/0000-0003-4240-9878"},"institutions":[{"id":"https://openalex.org/I2800747041","display_name":"Korea Aerospace Research Institute","ror":"https://ror.org/037pqnq23","country_code":"KR","type":"funder","lineage":["https://openalex.org/I2800747041","https://openalex.org/I2801339556","https://openalex.org/I4387152098","https://openalex.org/I4412460384"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minwoo Kim","raw_affiliation_strings":["Unmanned Vehicle Advanced Research Center, Korean Aerospace Research Institute, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Unmanned Vehicle Advanced Research Center, Korean Aerospace Research Institute, Daejeon, South Korea","institution_ids":["https://openalex.org/I2800747041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063262604"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0826241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"518","issue":null,"first_page":"64","last_page":"69"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9887999892234802,"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":0.848884642124176},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.778777003288269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6721200942993164},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6524481773376465},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6027265191078186},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5931193828582764},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5116098523139954},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4674561619758606},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.4625391960144043},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4396759271621704},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.368177592754364},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.35656633973121643},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.27772676944732666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.848884642124176},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.778777003288269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6721200942993164},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6524481773376465},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6027265191078186},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5931193828582764},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5116098523139954},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4674561619758606},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.4625391960144043},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4396759271621704},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.368177592754364},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.35656633973121643},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27772676944732666},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icufn.2018.8436727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2018.8436727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1531192956","https://openalex.org/W1857884451","https://openalex.org/W2113325037","https://openalex.org/W2137983211","https://openalex.org/W2145339207","https://openalex.org/W2154889144","https://openalex.org/W2163605009","https://openalex.org/W2225887246","https://openalex.org/W2252355370","https://openalex.org/W2260756217","https://openalex.org/W2295615964","https://openalex.org/W2519586580","https://openalex.org/W2552900565","https://openalex.org/W2570343428","https://openalex.org/W2749203358","https://openalex.org/W2884561390","https://openalex.org/W2963037989","https://openalex.org/W2964043796","https://openalex.org/W3106250896","https://openalex.org/W4295331127","https://openalex.org/W4298857966","https://openalex.org/W6800482781","https://openalex.org/W6992957314"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W2965594636"],"abstract_inverted_index":{"Advances":[0],"in":[1,13],"deep":[2],"learning":[3,41],"based":[4],"object":[5,48],"detection":[6,11,49,82],"methods":[7],"have":[8],"achieve":[9],"state-of-the-art":[10],"accuracy":[12,58,83,90],"real-time":[14],"using":[15,62],"high-end":[16],"GPUs.":[17],"Their":[18],"application":[19],"to":[20,33,43,46,56,91],"low-power":[21],"computing":[22],"systems":[23],"(e.g.":[24],"embedded":[25],"GPUs":[26],"on":[27,52,75],"UAVs)":[28],"is":[29],"severely":[30],"limited":[31],"due":[32],"high":[34],"computational":[35],"requirements.":[36],"We":[37,68],"train":[38],"a":[39,53],"reinforcement":[40],"agent":[42],"decide":[44],"whether":[45],"perform":[47],"or":[50],"tracking":[51],"given":[54],"image":[55],"maximize":[57],"over":[59],"execution":[60],"time":[61],"visual":[63],"differences":[64],"between":[65],"input":[66],"frames.":[67],"validate":[69],"our":[70],"dynamic":[71],"detection-tracking":[72],"switching":[73],"method":[74],"the":[76,92],"Stanford":[77],"Drone":[78],"datasets":[79],"for":[80],"both":[81],"and":[84],"speed.":[85],"Our":[86],"model":[87],"obtains":[88],"comparable":[89],"detector-only":[93],"approach":[94],"while":[95],"obtaining":[96],"4\u00d7":[97],"speedups.":[98]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}