{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,11,16]],"date-time":"2023-11-16T19:10:17Z","timestamp":1700161817673},"reference-count":19,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2005,8,10]],"date-time":"2005-08-10T00:00:00Z","timestamp":1123632000000},"content-version":"vor","delay-in-days":0,"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":[[2005,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Chiefly for applications to robots that operate in a real environment, it is desirable to construct a compact vision system with real\u2010time properties and adaptability to the environment. The silicon retina is an image sensor considered from such a viewpoint, in which the preprocessing mechanism in the biological retina is simulated in an analog CMOS integrated circuit. This paper proposes a computation scheme which estimates the optical flow (the moving velocity field of an object that is in relative motion with respect to the imaging system) robustly even in images of a real environment, focusing on the function and structure of the silicon retina. In the proposed method, the edge of the moving object is extracted from the response image on the silicon retina. By applying local computation to the result, the optical flow can be derived efficiently even in a real environment. An experiment is performed using the silicon retina and a computer based on the proposed method, and satisfactory results are obtained. \u00a9 2005 Wiley Periodicals, Inc. Syst Comp Jpn, 36(11): 12\u201323, 2005; Published online in Wiley InterScience (<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.interscience.wiley.com\">www.interscience.wiley.com<\/jats:ext-link>). DOI 10.1002\/scj.20343<\/jats:p>","DOI":"10.1002\/scj.20343","type":"journal-article","created":{"date-parts":[[2005,8,10]],"date-time":"2005-08-10T16:18:32Z","timestamp":1123690712000},"page":"12-23","source":"Crossref","is-referenced-by-count":0,"title":["Local computation of optical flow using a silicon retina"],"prefix":"10.1002","volume":"36","author":[{"given":"Kei","family":"Akiyama","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi\u2010Wei","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masaki","family":"Onishi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tetsuya","family":"Yagi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shigeyuki","family":"Hosoe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2005,8,10]]},"reference":[{"key":"e_1_2_1_2_2","unstructured":"AbeN LuoZW AkiyamaK YagiT HosoeS.Adaptive visual tracking system under changing lighting environment. 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