{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T09:09:02Z","timestamp":1760346542388,"version":"build-2065373602"},"reference-count":16,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2016,6,25]],"date-time":"2016-06-25T00:00:00Z","timestamp":1466812800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper presents an object occlusion detection algorithm using object depth information that is estimated by automatic camera calibration. The object occlusion problem is a major factor to degrade the performance of object tracking and recognition. To detect an object occlusion, the proposed algorithm consists of three steps: (i) automatic camera calibration using both moving objects and a background structure; (ii) object depth estimation; and (iii) detection of occluded regions. The proposed algorithm estimates the depth of the object without extra sensors but with a generic red, green and blue (RGB) camera. As a result, the proposed algorithm can be applied to improve the performance of object tracking and object recognition algorithms for video surveillance systems.<\/jats:p>","DOI":"10.3390\/s16070982","type":"journal-article","created":{"date-parts":[[2016,6,27]],"date-time":"2016-06-27T12:56:01Z","timestamp":1467032161000},"page":"982","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Object Occlusion Detection Using Automatic Camera Calibration for a Wide-Area Video Surveillance System"],"prefix":"10.3390","volume":"16","author":[{"given":"Jaehoon","family":"Jung","sequence":"first","affiliation":[{"name":"Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea"}]},{"given":"Inhye","family":"Yoon","sequence":"additional","affiliation":[{"name":"Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea"},{"name":"ADAS Camera Team, LG Electronics, 322 Gyeongmyeong-daero, Seo-gu, Incheon 22744, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8593-7155","authenticated-orcid":false,"given":"Joonki","family":"Paik","sequence":"additional","affiliation":[{"name":"Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2016,6,25]]},"reference":[{"key":"ref_1","unstructured":"Mei, X., Ling, H., Wu, Y., Blasch, E., and Bai, L. (2011, January 20\u201325). Minimum error bounded efficient l1 tracker with occlusion detection. Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1109\/34.865184","article-title":"A cooperative algorithm for stereo matching and occlusion detection","volume":"22","author":"Zitnick","year":"2000","journal-title":"Pattern Anal. Mach. Intell. IEEE Trans."},{"key":"ref_3","unstructured":"Sun, J., Li, Y., Kang, S.B., and Shum, H.Y. (2005, January 20\u201325). Symmetric stereo matching for occlusion handling. Proceedings of the 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, CA, USA."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Matyunin, S., Vatolin, D., Berdnikov, Y., and Smirnov, M. (2011, January 16\u201318). Temporal filtering for depth maps generated by Kinect depth camera. 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Available online: http:\/\/vasc.ri.cmu.edu\/idb\/."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/7\/982\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:24:50Z","timestamp":1760210690000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/7\/982"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6,25]]},"references-count":16,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2016,7]]}},"alternative-id":["s16070982"],"URL":"https:\/\/doi.org\/10.3390\/s16070982","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2016,6,25]]}}}