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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dogan, E. Yilmaz, B. Unel, M. Sabanovic, A. |
| Copyright Year | 2006 |
| Description | Author affiliation: Fac. of Eng. & Natural Sci., Sabanci Univ., Istanbul (Dogan, E.; Yilmaz, B.; Unel, M.; Sabanovic, A.) |
| Abstract | The problem of estimating motion from a sequence of images has been a major research theme in machine vision for many years and remains one of the most challenging ones. In this work, we use sliding mode observers to estimate the motion of a moving body with the aid of a CCD camera. We consider a variety of dynamical systems which arise in machine vision applications and develop a novel identification procedure for the estimation of both constant and time varying parameters. The basic procedure introduced for parameter estimation is to recast image feature dynamics linearly in terms of unknown parameters and construct a sliding mode observer to produce asymptotically correct estimates of the observed image features, and then use "equivalent control" to explicitly compute parameters. Much of our analysis has been substantiated by computer simulations and real experiments |
| Starting Page | 733 |
| Ending Page | 738 |
| File Size | 1179334 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780395111 |
| DOI | 10.1109/AMC.2006.1631751 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-03-27 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Motion estimation Cameras Machine vision Parameter estimation Time varying systems Sliding mode control Geometry Motion analysis Solid modeling Layout |
| Content Type | Text |
| Resource Type | Article |
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