{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T14:43:58Z","timestamp":1780065838559,"version":"3.54.0"},"reference-count":65,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2018,5,29]],"date-time":"2018-05-29T00:00:00Z","timestamp":1527552000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2015R1D1A1A09060594"],"award-info":[{"award-number":["2015R1D1A1A09060594"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2016H1D5A1910730"],"award-info":[{"award-number":["2016H1D5A1910730"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Segmenting touching-pigs in real-time is an important issue for surveillance cameras intended for the 24-h tracking of individual pigs. However, methods to do so have not yet been reported. We particularly focus on the segmentation of touching-pigs in a crowded pig room with low-contrast images obtained using a Kinect depth sensor. We reduce the execution time by combining object detection techniques based on a convolutional neural network (CNN) with image processing techniques instead of applying time-consuming operations, such as optimization-based segmentation. We first apply the fastest CNN-based object detection technique (i.e., You Only Look Once, YOLO) to solve the separation problem for touching-pigs. If the quality of the YOLO output is not satisfied, then we try to find the possible boundary line between the touching-pigs by analyzing the shape. Our experimental results show that this method is effective to separate touching-pigs in terms of both accuracy (i.e., 91.96%) and execution time (i.e., real-time execution), even with low-contrast images obtained using a Kinect depth sensor.<\/jats:p>","DOI":"10.3390\/s18061746","type":"journal-article","created":{"date-parts":[[2018,5,30]],"date-time":"2018-05-30T03:04:27Z","timestamp":1527649467000},"page":"1746","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["A Kinect-Based Segmentation of Touching-Pigs for Real-Time Monitoring"],"prefix":"10.3390","volume":"18","author":[{"given":"Miso","family":"Ju","sequence":"first","affiliation":[{"name":"Department of Computer Convergence Software, Korea University, Sejong City 30019, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Younchang","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Computer Convergence Software, Korea University, Sejong City 30019, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jihyun","family":"Seo","sequence":"additional","affiliation":[{"name":"Department of Computer Convergence Software, Korea University, Sejong City 30019, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6470-3341","authenticated-orcid":false,"given":"Jaewon","family":"Sa","sequence":"additional","affiliation":[{"name":"Department of Computer Convergence Software, Korea University, Sejong City 30019, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0266-2959","authenticated-orcid":false,"given":"Sungju","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Computer Convergence Software, Korea University, Sejong City 30019, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongwha","family":"Chung","sequence":"additional","affiliation":[{"name":"Department of Computer Convergence Software, Korea University, Sejong City 30019, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daihee","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Computer Convergence Software, Korea University, Sejong City 30019, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,5,29]]},"reference":[{"key":"ref_1","first-page":"1","article-title":"Precision Livestock Farming: An International Review of Scientific and Commercial Aspects","volume":"5","author":"Banhazi","year":"2012","journal-title":"Int. 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