{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T22:45:36Z","timestamp":1649112336224},"reference-count":5,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Inf. Acquisition"],"published-print":{"date-parts":[[2007,9]]},"abstract":"<jats:p> A background is a part that does not vary too much or change frequently in an image sequence. Using this assumption, an algorithm of reconstructing remained background and detecting moving objects for static and also moving camera is presented. For generating background, we detect regions that have high correlation coefficient compared within prior pyramid images from the current image. These detected regions are used for two process. First, we calculate the temporal displacement vector of each detected regions and classify clusters of pixel intensity based on camera movement. Second, we calculate temporally principal displacement vector using histogram of displacement vectors. Temporally principal displacement vector indicates camera movement. Finally we eliminate clusters which have lower weight than threshold, and combine remained clusters for each pixel to generate multiple background clusters. Experimental results show that remained background model and detected moving object under camera moving. <\/jats:p>","DOI":"10.1142\/s0219878907001265","type":"journal-article","created":{"date-parts":[[2007,11,30]],"date-time":"2007-11-30T04:59:08Z","timestamp":1196398748000},"page":"227-236","source":"Crossref","is-referenced-by-count":7,"title":["DETECTION OF MOVING OBJECT USING REMAINED BACKGROUND UNDER MOVING CAMERA"],"prefix":"10.1142","volume":"04","author":[{"given":"TAEHO","family":"KIM","sequence":"first","affiliation":[{"name":"Intelligent Systems Laboratory, Department of Electrical Engineering, University of Ulsan, San 29, Mugeo-dong, Nam-ku, Ulsan, 680-749, Korea"}]},{"given":"KANG-HYUN","family":"JO","sequence":"additional","affiliation":[{"name":"Intelligent Systems Laboratory, Department of Electrical Engineering, University of Ulsan, San 29, Mugeo-dong, Nam-ku, Ulsan, 680-749, Korea"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2002.801448"},{"key":"rf3","first-page":"2079","volume":"24","author":"El\u00edas H. J.","journal-title":"Pattern Recognition Letters"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008318126505"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2004.836169"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1109\/34.598236"}],"container-title":["International Journal of Information Acquisition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219878907001265","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T19:08:01Z","timestamp":1565118481000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219878907001265"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,9]]},"references-count":5,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,20]]},"published-print":{"date-parts":[[2007,9]]}},"alternative-id":["10.1142\/S0219878907001265"],"URL":"https:\/\/doi.org\/10.1142\/s0219878907001265","relation":{},"ISSN":["0219-8789","1793-6985"],"issn-type":[{"value":"0219-8789","type":"print"},{"value":"1793-6985","type":"electronic"}],"subject":[],"published":{"date-parts":[[2007,9]]}}}