{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T08:11:01Z","timestamp":1698048661597},"reference-count":16,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2007,9,5]],"date-time":"2007-09-05T00:00:00Z","timestamp":1188950400000},"content-version":"vor","delay-in-days":6456,"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":[[1990,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>We propose several methods for analyzing the velocity of moving particles in dynamic images. The methods are based on the analysis of temporal mutual\u2010correlation between the time series of gray level changes at a target pixel and that of its neighboring pixels on an image plane. In this paper, we clarify that the temporal mutual\u2010correlation functions can be understood as the intersections of a kind of spatial autocorrelation of an image irradiance function which is assumed to be rigid. According to this new understanding and assuming a Gaussian\u2010like decrease in the spatial autocorrelation, we clarify a relation between the correlation\u2010value and the lag\u2010time of the mutual\u2010correlation and velocity of a moving object. This relation results in an improved method for determining the optical flow.<\/jats:p><jats:p>Our previous methods are useful only for the analysis of spherical particle motion. However, the improved one can be applied to more general objects. From the analysis of the artificial image sequences, it is suggested that the accuracy of the obtained result is less than 0.01 \u00b10.01 p\/f in speed and 1.0 \u00b12.0 deg in direction. These results indicate that the improved method has ten times the accuracy of the typical method called the \u201cgradient method.\u201d The improved method is also evaluated by analyzing an actual dynamic scene and confirmed to have the capability to measure the two\u2010dimensional velocity field (i.e., optical flow).<\/jats:p>","DOI":"10.1002\/scj.4690210410","type":"journal-article","created":{"date-parts":[[2009,11,19]],"date-time":"2009-11-19T23:25:21Z","timestamp":1258673121000},"page":"97-108","source":"Crossref","is-referenced-by-count":1,"title":["Optical Flow Analysis Based on Spatio\u2010Temporal Correlation of Dynamic Image"],"prefix":"10.1002","volume":"21","author":[{"given":"Kazutoshi","family":"Koga","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hidetoshi","family":"Miike","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2007,9,6]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1017\/S0022112083000774"},{"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.1986.4767806"},{"key":"e_1_2_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1987.4767919"},{"key":"e_1_2_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1981.12025"},{"key":"e_1_2_1_7_2","unstructured":"F.Glazer G.Reynolds andP.Anandan Scene matching by hierarchical correlation. Proc. IEEE pp.432\u2013441(1983)."},{"key":"e_1_2_1_8_2","unstructured":"P.AnandanandR.Weiss Introducing a smoothness constraint in a matching approach for the computation of displacement fields. COINS Technical Report 85\u201038 Univ. Massachusetts pp.1\u201319(1985)."},{"key":"e_1_2_1_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(81)90024-2"},{"key":"e_1_2_1_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0734-189X(83)80030-9"},{"key":"e_1_2_1_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767833"},{"key":"e_1_2_1_12_2","doi-asserted-by":"publisher","DOI":"10.1143\/JJAP.25.L409"},{"issue":"8","key":"e_1_2_1_13_2","first-page":"877","article-title":"Velocity\u2010field measurement by pixel\u2010based temporal mutual\u2010correlation analysis of dynamic image","volume":"69","author":"Miike H.","year":"1986","journal-title":"Trans. I.E.I.C.E., Japan"},{"issue":"4","key":"e_1_2_1_14_2","first-page":"836","article-title":"Improvement of a velocity\u2010field measurement with pixel\u2010based temporal mutual\u2010correlation analysis of dynamic image","volume":"70","author":"Miike H.","year":"1987","journal-title":"Trans. I.E.I.C.E., Japan"},{"issue":"8","key":"e_1_2_1_15_2","first-page":"719","article-title":"Exact determination of optical flow by pixel\u2010based temporal mutual\u2010correlation analysis","volume":"70","author":"Koga K.","year":"1987","journal-title":"Trans. I.E.I.C.E., Japan"},{"issue":"8","key":"e_1_2_1_16_2","first-page":"1508","article-title":"Determining Optical Flow from Sequential Image","volume":"70","author":"Koga K.","year":"1987","journal-title":"Trans. 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