The α β γ filter is an efficient estimation scheme for the motion control. According to the estimated position, velocity and acceleration signals which are provided by the α β γ filters, motion objects will be able to result in an excellent control. However, the estimation performance heavily depends on the parameters α , β and γ . This paper presents a fuzzy logic system to develop an adaptive...

Previous work has shown that information from different artificial vision approaches to the same problem can be combined to produce more robust results. Often, information from a technique looking at a completely different aspect of an image can also be of use. This paper reports the use of fuzzy set theory to combine the results of image processing techniques for different problems. Classical ...

Many methods for computing optical ow (image motion vector) have been proposed while others continue to appear. Block-matching methods are widely used because of their simplicity and easy implementation. The motion vector is uniquely de ned, in block-matching methods, by the best t of a small reference subblock from a previous image frame in a larger, search region from the present image frame....

Corner matching in digital images is a key step in several applications in computer vision such as motion estimation, object recognition and localization, 3D reconstruction etc. Accuracy and reliability of corner matching algorithms are two important criteria. In this paper, corner correspondence between two images is established in the presence of intensity variations, inherent noise and motio...

This paper presents a method for automatic removal of local defects such as blotches and impulse noise in old motion picture films. The method is fully automatic and includes the following steps: fuzzy prefiltering, motioncompensated blotch detection, and spatiotemporal inpainting. The fuzzy prefilter removes small defective areas such as impulse noise. Modified bidirectional motion estimation ...

this paper deals with ridge estimation of fuzzy nonparametric regression models using triangular fuzzy numbers. this estimation method is obtained by implementing ridge regression learning algorithm in the la- grangian dual space. the distance measure for fuzzy numbers that suggested by diamond is used and the local linear smoothing technique with the cross- validation procedure for selecting t...

This paper deals with the computation of sensor motion from sets of displacement vectors obtained from consecutive pairs of images. The problem is investigated with emphasis on its application to autonomous robots and land vehicles. First, the effects of 3-D camera rotation and translation upon the observed image are discussed and in particular the concept of the focus of expansion (FOE). It is...

Interpersonal motions and their expression using a fuzzy inference based on a mental distance type pleasure-arousal space are proposed for a mobile eye robot in a mascot robot system. An interpersonal motion that consists of an interpersonal distance, a motion speed, and a motion trajectory is determined according to verbal information received from human in an interactive situation using a pro...