{"id":"https://openalex.org/W4393869174","doi":"https://doi.org/10.1117/12.3023457","title":"Sequence models for drone versus bird classification","display_name":"Sequence models for drone versus bird classification","publication_year":2024,"publication_date":"2024-04-03","ids":{"openalex":"https://openalex.org/W4393869174","doi":"https://doi.org/10.1117/12.3023457"},"language":"en","primary_location":{"id":"doi:10.1117/12.3023457","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.3023457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sixteenth International Conference on Machine Vision (ICMV 2023)","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/A5005084622","display_name":"Fatih \u00c7a\u011fatay Aky\u00f6n","orcid":"https://orcid.org/0000-0001-7098-3944"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Fatih C. Akyon","raw_affiliation_strings":["Middle East Technical University (Turkey)","OBSS Technology (Turkey)"],"affiliations":[{"raw_affiliation_string":"Middle East Technical University (Turkey)","institution_ids":["https://openalex.org/I201799495"]},{"raw_affiliation_string":"OBSS Technology (Turkey)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005758418","display_name":"Erdem Akag\u00fcnd\u00fcz","orcid":"https://orcid.org/0000-0002-0792-7306"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erdem Akagunduz","raw_affiliation_strings":["Middle East Technical University (Turkey)"],"affiliations":[{"raw_affiliation_string":"Middle East Technical University (Turkey)","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034124601","display_name":"Sinan Onur Altinuc","orcid":"https://orcid.org/0000-0001-5119-160X"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sinan O. Altinuc","raw_affiliation_strings":["Middle East Technical University (Turkey)","OBSS Technology (Turkey)"],"affiliations":[{"raw_affiliation_string":"Middle East Technical University (Turkey)","institution_ids":["https://openalex.org/I201799495"]},{"raw_affiliation_string":"OBSS Technology (Turkey)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003028527","display_name":"Alptekin Temizel","orcid":"https://orcid.org/0000-0001-6082-2573"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Alptekin Temizel","raw_affiliation_strings":["Middle East Technical University (Turkey)"],"affiliations":[{"raw_affiliation_string":"Middle East Technical University (Turkey)","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005084622"],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":1.0526,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7617025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"36","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9980999827384949,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9945999979972839,"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/drone","display_name":"Drone","score":0.934316098690033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7135050892829895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6675530672073364},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5844773054122925},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.49457141757011414},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.484237402677536},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4816281199455261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.478685200214386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3853401243686676},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07722872495651245}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.934316098690033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7135050892829895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6675530672073364},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5844773054122925},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.49457141757011414},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.484237402677536},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4816281199455261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.478685200214386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3853401243686676},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07722872495651245},{"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},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.3023457","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.3023457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sixteenth International Conference on Machine Vision (ICMV 2023)","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":22,"referenced_works":["https://openalex.org/W1923404803","https://openalex.org/W2099001231","https://openalex.org/W2117539524","https://openalex.org/W2530592706","https://openalex.org/W2808453126","https://openalex.org/W2908510526","https://openalex.org/W2989663908","https://openalex.org/W3200435621","https://openalex.org/W3210311771","https://openalex.org/W4205402132","https://openalex.org/W4205646470","https://openalex.org/W4242177601","https://openalex.org/W4250685322","https://openalex.org/W4254816946","https://openalex.org/W6604254268","https://openalex.org/W6687483927","https://openalex.org/W6738587995","https://openalex.org/W6746563140","https://openalex.org/W6756911974","https://openalex.org/W6757817989","https://openalex.org/W6792116255","https://openalex.org/W6802960164"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4386322305"],"abstract_inverted_index":{"Drone":[0],"detection":[1,9],"has":[2,18],"become":[3],"an":[4],"essential":[5],"task":[6],"in":[7],"object":[8],"as":[10],"drone":[11,16,54,61],"costs":[12],"have":[13,83],"decreased":[14],"and":[15,35,69,77,106,117,134],"technology":[17],"improved.":[19],"It":[20],"is,":[21],"however,":[22],"difficult":[23],"to":[24,47,67,90,115],"detect":[25],"distant":[26],"drones":[27],"when":[28],"there":[29],"is":[30],"weak":[31],"contrast,":[32],"long":[33],"range,":[34],"low":[36],"visibility.":[37],"In":[38],"this":[39],"work,":[40],"we":[41,57],"propose":[42,58],"several":[43],"sequence":[44,64,80,102,122],"classification":[45,65,81,105,123],"architectures":[46,82],"reduce":[48],"the":[49,71,87,92,95,130],"detected":[50],"false-positive":[51],"ratio":[52],"of":[53,94],"tracks.":[55],"Moreover,":[56],"a":[59],"new":[60],"vs.":[62],"bird":[63,104],"dataset":[66,89],"train":[68],"evaluate":[70],"proposed":[72,88,96],"architectures.":[73],"3D":[74],"CNN,":[75],"LSTM,":[76],"Transformer":[78],"based":[79],"been":[84],"trained":[85],"on":[86],"show":[91],"effectiveness":[93],"idea.":[97],"As":[98],"experiments":[99],"show,":[100],"using":[101],"information,":[103],"overall":[107],"F1":[108],"scores":[109],"can":[110],"be":[111],"increased":[112],"by":[113],"up":[114],"73%":[116],"35%,":[118],"respectively.":[119],"Among":[120],"all":[121],"models,":[124],"R(2+1)D-based":[125],"fully":[126],"convolutional":[127],"model":[128],"yields":[129],"best":[131],"transfer":[132],"learning":[133],"fine-tuning":[135],"results.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-26T23:06:41.788003","created_date":"2025-10-10T00:00:00"}