{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T10:11:38Z","timestamp":1698228698305},"reference-count":11,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2007,3,21]],"date-time":"2007-03-21T00:00:00Z","timestamp":1174435200000},"content-version":"vor","delay-in-days":5558,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems &amp; Computers in Japan"],"published-print":{"date-parts":[[1992,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>To obtain motion parameters from a moving object in a time\u2010varying image or to obtain information on a three\u2010dimensional structure and the collocation of an object, it is necessary to obtain the displacement from the object on the image prior to further processing. For this purpose, the gradient\u2010based method by which the motion of the object on the image can be detected directly form the spatio\u2010temporal changes of its brightness is widely used. However, in cases where the image contains noise or the conditions required for the gradient\u2010based method are not satisfied, a large error occurs in the estimation of the object.<\/jats:p><jats:p>This paper proposes a method in which the optical flow is represented using polar coordinates, and all the conditions required for its magnitude and argument are considered when they are derived. The magnitude of the optical flow of a pixel and the correlation between its argument and neighboring pixels are examined using true motion. The method detects only the optical flow caused by true motion of an object, eliminating optical flows caused by noise, so that the gradient\u2010based method may be applied.<\/jats:p>","DOI":"10.1002\/scj.4690230810","type":"journal-article","created":{"date-parts":[[2007,7,7]],"date-time":"2007-07-07T23:48:18Z","timestamp":1183852098000},"page":"97-105","source":"Crossref","is-referenced-by-count":0,"title":["Detection of optical flow from a noisy image"],"prefix":"10.1002","volume":"23","author":[{"given":"Masataka","family":"Chiba","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shinji","family":"Ozawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2007,3,21]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1987.4767897"},{"key":"e_1_2_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1985.4767678"},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767833"},{"key":"e_1_2_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767810"},{"key":"e_1_2_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(81)90024-2"},{"key":"e_1_2_1_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0734-189X(83)80040-1"},{"key":"e_1_2_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767755"},{"issue":"5","key":"e_1_2_1_9_2","first-page":"785","article-title":"Analysis of three\u2010dimensional motion of multiple bodies based on moving images and distance information","volume":"69","author":"Yamamoto M.","year":"1986","journal-title":"Proc. I.E.C.E., Japan, Part D"},{"issue":"12","key":"e_1_2_1_10_2","first-page":"1330","article-title":"Measurement system for velocity vector distribution based on space\u2010time derivative method of images","volume":"22","author":"Ando S.","year":"1986","journal-title":"Proc. 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