{"id":"https://openalex.org/W2943081086","doi":"https://doi.org/10.23919/icact.2019.8701968","title":"A YOLO-based Separation of Touching-Pigs for Smart Pig Farm Applications","display_name":"A YOLO-based Separation of Touching-Pigs for Smart Pig Farm Applications","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2943081086","doi":"https://doi.org/10.23919/icact.2019.8701968","mag":"2943081086"},"language":"en","primary_location":{"id":"doi:10.23919/icact.2019.8701968","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact.2019.8701968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","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/A5101505359","display_name":"Jihyun Seo","orcid":"https://orcid.org/0000-0002-8343-2356"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jihyun Seo","raw_affiliation_strings":["Dept. of Computer Convergence Software, Korea University, Sejong, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Convergence Software, Korea University, Sejong, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035087259","display_name":"Jaewon Sa","orcid":"https://orcid.org/0000-0002-6470-3341"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaewon Sa","raw_affiliation_strings":["Dept. of Computer Convergence Software, Korea University, Sejong, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Convergence Software, Korea University, Sejong, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110499647","display_name":"Younchang Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Younchang Choi","raw_affiliation_strings":["Dept. of Computer Convergence Software, Korea University, Sejong, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Convergence Software, Korea University, Sejong, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027594674","display_name":"Yongwha Chung","orcid":"https://orcid.org/0000-0001-6539-167X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yongwha Chung","raw_affiliation_strings":["Dept. of Computer Convergence Software, Korea University, Sejong, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Convergence Software, Korea University, Sejong, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644684","display_name":"Daihee Park","orcid":"https://orcid.org/0000-0003-4726-4508"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daihee Park","raw_affiliation_strings":["Dept. of Computer Convergence Software, Korea University, Sejong, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Convergence Software, Korea University, Sejong, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064505596","display_name":"Hakjae Kim","orcid":"https://orcid.org/0000-0002-6728-0727"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hakjae Kim","raw_affiliation_strings":["Class Act Co., Ltd, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Class Act Co., Ltd, Seoul, South Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101505359"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":2.8311,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89249256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"395","last_page":"401"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10838","display_name":"Animal Behavior and Welfare Studies","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/3404","display_name":"Small Animals"},"field":{"id":"https://openalex.org/fields/34","display_name":"Veterinary"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10838","display_name":"Animal Behavior and Welfare Studies","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/3404","display_name":"Small Animals"},"field":{"id":"https://openalex.org/fields/34","display_name":"Veterinary"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9861999750137329,"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":0.7110975384712219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7071632146835327},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6542527675628662},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6311337351799011},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6238042116165161},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6107022166252136},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5259445309638977},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4778860807418823},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.468336820602417},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4582800269126892},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.45827651023864746},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.421977698802948},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.4101654887199402},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4006229639053345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38054198026657104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12967124581336975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10064250230789185}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7110975384712219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7071632146835327},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6542527675628662},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6311337351799011},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6238042116165161},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6107022166252136},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5259445309638977},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4778860807418823},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.468336820602417},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4582800269126892},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.45827651023864746},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.421977698802948},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.4101654887199402},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4006229639053345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38054198026657104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12967124581336975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10064250230789185},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact.2019.8701968","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact.2019.8701968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W65480031","https://openalex.org/W1903029394","https://openalex.org/W2020611861","https://openalex.org/W2091991228","https://openalex.org/W2133059825","https://openalex.org/W2143504144","https://openalex.org/W2157044442","https://openalex.org/W2163605009","https://openalex.org/W2322925088","https://openalex.org/W2570343428","https://openalex.org/W2601267283","https://openalex.org/W2771389134","https://openalex.org/W2898364767","https://openalex.org/W2898763649","https://openalex.org/W2962949934","https://openalex.org/W2963150697","https://openalex.org/W2963876278","https://openalex.org/W6602668512","https://openalex.org/W6684191040","https://openalex.org/W6731892127","https://openalex.org/W6989745779"],"related_works":["https://openalex.org/W2071676784","https://openalex.org/W4293226380","https://openalex.org/W4292513318","https://openalex.org/W2287611352","https://openalex.org/W2021161555","https://openalex.org/W320684304","https://openalex.org/W1509352139","https://openalex.org/W4385464961","https://openalex.org/W4308092240","https://openalex.org/W2969228573"],"abstract_inverted_index":{"For":[0,23],"specific":[1],"livestock":[2,21],"such":[3],"as":[4,132,141],"pigs":[5,152],"in":[6,29,129,184],"a":[7,36],"pigsty,":[8],"many":[9],"surveillance":[10,25],"applications":[11],"have":[12],"been":[13],"reported":[14,196],"to":[15,56,105,124,162,181,193],"consider":[16,137],"their":[17,60],"health":[18],"for":[19,35],"efficient":[20],"management.":[22],"pig":[24],"applications,":[26],"separating":[27],"touching-pigs":[28,107,183],"real-time":[30],"is":[31,179],"an":[32,117,133],"important":[33],"issue":[34],"final":[37,165],"goal":[38],"of":[39,42,63,79,145,153,186,190],"24-hour":[40],"tracking":[41],"individual":[43,151],"pigs.":[44],"Although":[45],"convolutional":[46],"neural":[47],"network":[48],"(CNN)-based":[49],"instance":[50,198],"segmentation":[51,199],"techniques":[52,104,161],"can":[53],"be":[54],"applied":[55],"this":[57,72,177],"separation":[58],"problem,":[59],"collective":[61,77,188],"performance":[62,78,189],"accuracy-time":[64,80],"may":[65],"not":[66],"satisfy":[67],"the":[68,76,83,126,138,142,146,150,154,164,169,187,194],"required":[69],"performance.":[70],"In":[71],"study,":[73],"we":[74,136,157],"improve":[75],"by":[81,108],"combining":[82],"fastest":[84],"CNN-based":[85,197],"object":[86,134,140],"detection":[87],"technique":[88],"(i.e.,":[89],"You":[90],"Only":[91],"Look":[92],"Once,":[93],"YOLO)":[94],"with":[95],"image":[96,102,159],"processing":[97,103,160],"techniques.":[98],"We":[99],"first":[100],"apply":[101,122,158],"detect":[106],"using":[109,130],"both":[110],"infrared":[111],"and":[112],"depth":[113],"information":[114],"acquired":[115],"from":[116,168],"Intel":[118],"RealSense":[119],"camera,":[120],"then":[121],"YOLO":[123,131,170],"separate":[125,182],"touching-pigs.":[127,155],"Especially,":[128],"detector,":[135],"target":[139],"boundary":[143,166],"region":[144],"touching-pigs,":[147],"rather":[148],"than":[149],"Finally,":[156],"determine":[163],"line":[167],"output.":[171],"Our":[172],"experimental":[173],"results":[174],"show":[175],"that":[176],"method":[178],"effective":[180],"terms":[185],"accuracy-time,":[191],"compared":[192],"recently":[195],"technique.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}