title   
  

Visual motion and structure estimation using sliding mode observers

Ünel, Mustafa and Şabanoviç, Asif and Yılmaz, Burak and Doğan, Eray (2008) Visual motion and structure estimation using sliding mode observers. International Journal of Systems Science, 39 (2). pp. 149-161. ISSN 1369-7751

This is the latest version of this item.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1080/00207720701747655

Abstract

The problem of estimating motion and structure 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 and the structure 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 with bounded time derivatives. 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 the observer input to compute parameters. Much of our analysis has been substantiated by computer simulations and real experiments.

Item Type:Article
Uncontrolled Keywords:Machine vision, perspective, motion and structure estimation, camera models; sliding mode observers.
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:8592
Deposited By:Mustafa Ünel
Deposited On:08 Jun 2008 18:15
Last Modified:25 May 2011 14:13

Available Versions of this Item

Repository Staff Only: item control page