Appropriate and robust behavioral control in a noisy environment is important for the survival of most organisms. Understanding such robust behavioral control has been an attractive subject in neuroscience research. Here, we investigated the processing of wide-field motion with random dot noise at both the behavioral and neuronal level in Drosophila melanogaster. We measured the head yaw optomo...

6 This paper presents a neuroscience inspired information theoretic approach 7 to motion segmentation. Robust motion segmentation represents a funda8 mental first stage in many surveillance tasks. As an alternative to widely 9 adopted individual segmentation approaches, which are challenged in differ10 ent ways by imagery exhibiting a wide range of environmental variation and 11 irrelevant moti...

A model-based robust control design approach is considered for a novel direct-drive 4-DOF parallel manipulator aimed at high speed and high precision semiconductor packaging applications. An experimental identification method is proposed to determine the dynamic model of the manipulator and a robust feedback controller is designed in the frequency-domain using genetic algorithm. Experimental re...

The optical-flow approach has emerged as a major technique for estimating scene and object motion in image sequences. However, the results obtained by most optical flow techniques are strongly affected by motion discontinuities and by large illumination changes. While there do exist many separate techniques for robust estimation of optical flow in the presence of motion discontinuities and for ...

We investigate efficient algorithmic realisations for robust deconvolution of grey-value images with known space-invariant point-spread function, with emphasis on 1D motion blur scenarios. The goal is to make deconvolution suitable as preprocessing step in automated image processing environments with tight time constraints. Candidate deconvolution methods are selected for their restoration qual...

Motion segmentation can be addressed as a subspace clustering problem, assuming that the trajectories of interest points are known. However, establishing point correspondences is in itself a challenging task. Most existing approaches tackle the correspondence estimation and motion segmentation problems separately. In this paper, we introduce an approach to performing motion segmentation without...

This paper proposes a robust mathematical approach for motion control. The proposed control technique is applied to a three-degree of freedom Biped walking robot for illustration. The design technique is divided into two major steps; the first one is to establish a robust position control scheme with both guaranteed stability and trajectory tracking capability using a model-reference technique ...

Previous algorithms that recover camera motion from image velocities suffer from both bias and excessive variance in the results. We propose a robust estimator of camera motion that is statistically consistent when image noise is isotropic. Consistency means that the estimated motion converges in probability to the true value as the number of image points increases. An algorithm based on reweig...

This paper presents an approach to estimate the ego-motion of a robot while moving. The employed sensor is a Time-of-Flight (ToF) camera, the SR3000 from Mesa Imaging. ToF cameras provide depth and reflectance data of the scene at high frame rates. The proposed method utilizes the coherence of depth and reflectance data of ToF cameras by detecting image features on reflectance data and estimati...

This paper presents an approach for on-line video motion segmentation. Common methods were designed for off-line processing, where time to process one frame is not so important and varies from minutes to hours. The motivation of our work was an application in robotic perception, where a high computational speed is required. The main contribution of this work is an adaptation of existing methods...