{"id":"https://openalex.org/W2996706246","doi":"https://doi.org/10.1109/ritapp.2019.8932891","title":"Dynamic Bird Detection Using Image Processing and Neural Network","display_name":"Dynamic Bird Detection Using Image Processing and Neural Network","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2996706246","doi":"https://doi.org/10.1109/ritapp.2019.8932891","mag":"2996706246"},"language":"en","primary_location":{"id":"doi:10.1109/ritapp.2019.8932891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ritapp.2019.8932891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)","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/A5081569693","display_name":"Jeongjin Jo","orcid":null},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jeongjin Jo","raw_affiliation_strings":["Division of Computer Convergence, Chungnam National University, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Division of Computer Convergence, Chungnam National University, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101464697","display_name":"Junwon Park","orcid":"https://orcid.org/0000-0002-9897-6751"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junwon Park","raw_affiliation_strings":["Division of Computer Convergence, Chungnam National University, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Division of Computer Convergence, Chungnam National University, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012872041","display_name":"Jinyoung Han","orcid":"https://orcid.org/0000-0002-8911-2791"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinyoung Han","raw_affiliation_strings":["Division of Computer Convergence, Chungnam National University, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Division of Computer Convergence, Chungnam National University, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030797898","display_name":"Minsun Lee","orcid":"https://orcid.org/0000-0001-6354-2956"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minsun Lee","raw_affiliation_strings":["Division of Computer Convergence, Chungnam National University, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Division of Computer Convergence, Chungnam National University, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112090024","display_name":"Anthony Smith","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anthony H. Smith","raw_affiliation_strings":["Department of Computer and Information Technology, Purdue University, W. Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Technology, Purdue University, W. Lafayette, IN, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5081569693"],"corresponding_institution_ids":["https://openalex.org/I196345858"],"apc_list":null,"apc_paid":null,"fwci":0.5119,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.70611343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"210","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.995199978351593,"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":0.995199978351593,"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":0.9902999997138977,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.799068808555603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7794359922409058},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7353121042251587},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6397125124931335},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.61332768201828},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5979330539703369},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.577113687992096},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5644574761390686},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5500215888023376},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5492513179779053},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5045872926712036},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45715540647506714},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45216453075408936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.799068808555603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7794359922409058},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7353121042251587},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6397125124931335},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.61332768201828},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5979330539703369},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.577113687992096},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5644574761390686},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5500215888023376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5492513179779053},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5045872926712036},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45715540647506714},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45216453075408936},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ritapp.2019.8932891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ritapp.2019.8932891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)","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":23,"referenced_works":["https://openalex.org/W1627054999","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1797268635","https://openalex.org/W1836465849","https://openalex.org/W1949408298","https://openalex.org/W1980317569","https://openalex.org/W2078150979","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2130293653","https://openalex.org/W2155541015","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2915388342","https://openalex.org/W2949117887","https://openalex.org/W4248936881","https://openalex.org/W4294375521","https://openalex.org/W6637373629","https://openalex.org/W6638319203","https://openalex.org/W6638667902","https://openalex.org/W6682778277","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2397288865","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W2368524271","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2969228573","https://openalex.org/W2963690996"],"abstract_inverted_index":{"Collisions":[0],"of":[1,73,111],"aircraft":[2],"and":[3,9,39,62],"birds":[4],"cause":[5],"serious":[6],"flight":[7],"accidents,":[8],"various":[10],"studies":[11],"are":[12],"underway":[13],"to":[14,18,90,107],"find":[15],"a":[16],"solution":[17],"the":[19,59,64,71,74,79,87,93,97,101,109],"problem.":[20],"In":[21],"recent":[22],"image":[23,37,67,72],"recognition":[24],"studies,":[25],"state-of-the-art":[26],"deep":[27],"learning":[28,88],"technologies":[29],"have":[30],"been":[31],"actively":[32],"applied.":[33],"This":[34],"paper":[35],"proposes":[36],"preprocessing":[38,54,68],"bird":[40,94],"detection":[41],"methods":[42],"in":[43,78,96],"all":[44],"dynamic":[45,60],"environments":[46],"using":[47],"Convolutional":[48],"Neural":[49],"Network":[50],"(CNN)":[51],"technology.":[52],"Image":[53],"separates":[55],"moving":[56,75],"creatures":[57],"from":[58],"background":[61],"removes":[63],"background.":[65],"When":[66],"is":[69,81,95],"complete,":[70],"object":[76,113],"remaining":[77],"frame":[80],"used":[82,100],"as":[83],"input":[84],"data":[85],"for":[86],"model":[89,106],"determine":[91],"whether":[92],"frame.":[98],"We":[99],"Inception":[102],"-v3":[103],"neural":[104],"network":[105],"improve":[108],"accuracy":[110],"small":[112],"classifications.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}