{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:19:43Z","timestamp":1760242783364,"version":"build-2065373602"},"reference-count":26,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2016,6,24]],"date-time":"2016-06-24T00:00:00Z","timestamp":1466726400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NIPA, Korea","award":["NIPA-2014-CAU"],"award-info":[{"award-number":["NIPA-2014-CAU"]}]},{"name":"MIST, Korea","award":["14-824-09-003"],"award-info":[{"award-number":["14-824-09-003"]}]},{"name":"IITP, Korea","award":["10047788"],"award-info":[{"award-number":["10047788"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Since it is impossible for surveillance personnel to keep monitoring videos from a multiple camera-based surveillance system, an efficient technique is needed to help recognize important situations by retrieving the metadata of an object-of-interest. In a multiple camera-based surveillance system, an object detected in a camera has a different shape in another camera, which is a critical issue of wide-range, real-time surveillance systems. In order to address the problem, this paper presents an object retrieval method by extracting the normalized metadata of an object-of-interest from multiple, heterogeneous cameras. The proposed metadata generation algorithm consists of three steps: (i) generation of a three-dimensional (3D) human model; (ii) human object-based automatic scene calibration; and (iii) metadata generation. More specifically, an appropriately-generated 3D human model provides the foot-to-head direction information that is used as the input of the automatic calibration of each camera. The normalized object information is used to retrieve an object-of-interest in a wide-range, multiple-camera surveillance system in the form of metadata. Experimental results show that the 3D human model matches the ground truth, and automatic calibration-based normalization of metadata enables a successful retrieval and tracking of a human object in the multiple-camera video surveillance system.<\/jats:p>","DOI":"10.3390\/s16070963","type":"journal-article","created":{"date-parts":[[2016,6,25]],"date-time":"2016-06-25T21:21:45Z","timestamp":1466889705000},"page":"963","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Normalized Metadata Generation for Human Retrieval Using Multiple Video Surveillance Cameras"],"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"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"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"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seungwon","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea"},{"name":"Software Development Team, Convergence R&amp;D Center, LG Innotek, Gyeonggi-do 15588, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"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"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,6,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Hampapur, A., Brown, L., Feris, R., Senior, A., Shu, C.F., Tian, Y., Zhai, Y., and Lu, M. 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