{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:21:28Z","timestamp":1760242888506,"version":"build-2065373602"},"reference-count":63,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2016,10,21]],"date-time":"2016-10-21T00:00:00Z","timestamp":1477008000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61527802","61371132","61471043"],"award-info":[{"award-number":["61527802","61371132","61471043"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"International S&amp;T Cooperation Program of China","award":["2014DFR10960"],"award-info":[{"award-number":["2014DFR10960"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>During the process of moving object detection in an intelligent visual surveillance system, a scenario with complex background is sure to appear. The traditional methods, such as \u201cframe difference\u201d and \u201coptical flow\u201d, may not able to deal with the problem very well. In such scenarios, we use a modified algorithm to do the background modeling work. In this paper, we use edge detection to get an edge difference image just to enhance the ability of resistance illumination variation. Then we use a \u201cmulti-block temporal-analyzing LBP (Local Binary Pattern)\u201d algorithm to do the segmentation. In the end, a connected component is used to locate the object. We also produce a hardware platform, the core of which consists of the DSP (Digital Signal Processor) and FPGA (Field Programmable Gate Array) platforms and the high-precision intelligent holder.<\/jats:p>","DOI":"10.3390\/s16101758","type":"journal-article","created":{"date-parts":[[2016,10,21]],"date-time":"2016-10-21T10:15:16Z","timestamp":1477044916000},"page":"1758","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Moving Object Detection Using Scanning Camera on a High-Precision Intelligent Holder"],"prefix":"10.3390","volume":"16","author":[{"given":"Shuoyang","family":"Chen","sequence":"first","affiliation":[{"name":"School of Optoelectronics, Image Engineering &amp; Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingfa","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Optoelectronics, Image Engineering &amp; Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China"},{"name":"Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daqun","family":"Li","sequence":"additional","affiliation":[{"name":"School of Optoelectronics, Image Engineering &amp; Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jizhou","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Optoelectronics, Image Engineering &amp; Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shenwang","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Optoelectronics, Image Engineering &amp; Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,10,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"043009","DOI":"10.1117\/1.3662910","article-title":"Moving object detection in the presence of dynamic backgrounds using intensity and textural features","volume":"20","author":"Chiranjeevi","year":"2011","journal-title":"J. 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