Visual Tracking using Kernel Projected Measurement and Log-Polar Transformation

visual tracking using kernel projected measurement and log-polar transformation

visual servoing is generally contained of control and feature tracking. study of previous methods shows that no attempt has been made to optimize these two parts together. in kernel based visual servoing method, the main objective is to combine and optimize these two parts together and to make an entire control loop. this main target is accomplished by using lyapanov theory. a lyapanov candidat...

Object Tracking Using Log-polar Transformation

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Binocular tracking using log polar mapping

This paper describes a new binocular tracking method using Log Polar Mapping (LPM) which approximately represents the mapping of the retina into the visual cortex in primate vision. Using LPM makes it possible not only to obtain both a high central resolution and a wide eld of view, but also to signi cantly reduce processing image data. In this paper, LPM is performed in software by lookup tabl...

An Approach for Target Tracking using Log-polar Images

Active vision brings important advantages for physically embodied artificial agents interacting with their environment. Gaze control is one of the important issues in active vision. In this paper, we address one subproblem of gaze control, namely, gaze stabilization, which appears when visually tracking a moving object is required. One approach to tackle this is by solving a motion estimation p...

Tracking Planar Structures With Log-Polar Images

Classification of Log-Polar-Visual Eigenfaces using Multilayer Perceptron

In this paper we present a simple novel approach to tackle the challenges of scaling and rotation of face images in face recognition. The proposed approach registers the training and testing visual face images by log-polar transformation, which is capable to handle complicacies introduced by scaling and rotation. Log-polar images are projected into eigenspace and finally classified using an imp...