{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T04:13:49Z","timestamp":1759637629321,"version":"3.41.2"},"reference-count":14,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2008,3,19]],"date-time":"2008-03-19T00:00:00Z","timestamp":1205884800000},"content-version":"vor","delay-in-days":78,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Electrical and Computer Engineering"],"published-print":{"date-parts":[[2008,1]]},"abstract":"<jats:p>Motion estimation techniques are widely used in today\u2032s video processing systems. The frequently used techniques are frequency\u2010domain motion estimation methods, most notably phase correlation (PC). If the image frames are corrupted by Gaussian noises, then cross\u2010correlation and related techniques do not work well. In this paper, however, we have studied this topic from a viewpoint different from the above. Our scheme is based on the bispectrum method for sub\u2010pixel motion estimation of noisy image sequences. Experimental results show that our proposed method performs significantly better than PC technique.<\/jats:p>","DOI":"10.1155\/2008\/417915","type":"journal-article","created":{"date-parts":[[2008,12,23]],"date-time":"2008-12-23T14:46:10Z","timestamp":1230043570000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Estimation of Subpixel Motion Using Bispectrum"],"prefix":"10.1155","volume":"2008","author":[{"given":"El Mehdi","family":"Ismaili Aalaoui","sequence":"first","affiliation":[]},{"given":"Elhassane","family":"Ibn-Elhaj","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2008,3,19]]},"reference":[{"key":"e_1_2_6_1_2","doi-asserted-by":"crossref","unstructured":"KellyF.andfrkelly@tcd.ie KokaramA. anil.kokaram@tcd.ie Graphics hardware for gradient based motion estimation 5309 Embedded Processors for Multimedia and Communications January 2004 San Jose Calif USA 92\u2013103 Proceedings of SPIE https:\/\/doi.org\/10.1117\/12.526742.","DOI":"10.1117\/12.526742"},{"key":"e_1_2_6_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2005.857780"},{"key":"e_1_2_6_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/29.103075"},{"key":"e_1_2_6_4_2","doi-asserted-by":"crossref","unstructured":"AndersonJ. 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