Models of Statistical Visual Motion Estimation

✍ Scribed by M. Spetsakis

• Publisher: Elsevier Science
• Year: 1994
• Weight: 920 KB
• Volume: 60
• Category: Article
• ISSN: 1049-9660
• DOI: 10.1006/ciun.1994.1059

✦ Synopsis

Several models of statistical estimation of motion from visual input are derived and analyzed theoretically and experimentally. We study a wide variety of models, ones that use least squares and ones that use maximum likelihood, with several different assumptions (dependent and independent noise, isotropic and nonisotropic noise), spherical and planar image surfaces, and different preprocessing (one based on correspondence and one based on disparity). We do all this analysis using only a few fundamental concepts from statistical estimation, so the relative merits and shortcomings of all the methods become evident. The experimental results provide a quantitative measure of these merits. 1994 Academic Press. Inc.