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In contour-following tasks, contour error reduction is an issue of much concern. Generally speaking, contour error is caused by the mismatched dynamics between each axis. To reduce the contour error, many previous studies have focused on developing proper controllers and/or more accurate contour error estimation algorithms. An alternative method for reducing contour errors is to exploit the idea of...
Due to attractive features such as "computation efficient" and "model free", the template matching approaches have been used in many dynamic visual tracking systems to detect moving targets. However, in practical visual tracking applications, the image of the moving target may experience shape variations due to movement or illumination changes, in which it could end up with a detection...
Reduction of contour error is an important topic in contour following applications. This study conducts an in-depth investigation on this issue. In addition, an integrated control scheme is proposed to reduce contour error. In this paper, we have accomplished the following: 1) based on the estimated contour error method, a contour error controller is designed to reduce the contour error for an arbitrary...
Detection of moving objects is an important research topic in visual tracking applications. Among the moving object detection algorithms, the background subtraction based method is widely adopted due to advantages such as less computational load and high detection quality. However, it is sensitive to illumination changes and fluctuating backgrounds. Moreover, it cannot deal with slow moving and temporarily...
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