Conclusions Motion Detector Models • Two types of motion detectors were implemented in order to evaluate their applicability in a real-time computer vision scenario. In particular, we are interested in implementing the algorithms on an FPGA, which allows for flexible hardware implementation of algorithms at the price of introducing constraints on real-time capability. • The Reichardt correlatio...

As a rough model for the collective motions of cells and organisms we develop here the statistical mechanics of swarms of self-propelled particles. Our approach is closely related to the recently developed theory of active Brownian motion and the theory of canonicaldissipative systems. Free motion and motion of a swarms confined in an external field is studied. Briefly the case of particles con...

Block matching motion estimation is the essence of video coding systems. This paper is a survey of the existing block matching algorithms used for motion estimation in video coding. The algorithms that are surveyed in this paper are widely accepted by the video coding community and have been used in implementing various standards, ranging from MPEG1/H.261 to MPEG10/H.264. The aim of this review...

The induced flow effect is the rotary motion generated in the fluid flow due to the temperature gradient. The phenomenon of thermophoresis is the movement of particles from the warmer side of the fluid to the cooler side. Laser is a very suitable device for creating a temperature gradient due to its unique features such as high power density, harmonic waves, single wavelength and very low diver...

The motion of two interacting species of small particles, coupled differently to their environment, is studied both analytically and via numerical simulations. We find three ways of controlling the particle motion of one (passive) B species by means of another (active) A species: (i) dragging the target particles B by driving the auxiliary particles A, (ii) rectifying the motion of the B specie...

In human body movement simulation such as vertical jump by a forward dynamic model, optimal control theories must be used. In the recent years, new methods were created for solving optimization problems which they were adopted from animal behaviors and environment events such as Genetic algorithm, Particle swarm and Imperialism competitive. In this work, the skeletal model was constructed by Ne...

The local motion adaptation at the basis of the motion aftereffect (MAE) can be expressed in a variety of ways, depending upon the structure of the test display [Wade et al. (1996). Vision Research, 36, 2167-2175]. Three experiments are reported, which examined the characteristics of the test display and of the local adaptation process. In Experiment 1, MAEs were recorded in the central of thre...

in this paper, we propose a novel algorithm to enhance the noisy speech in the framework of dual-channel speech enhancement. the new method is a hybrid optimization algorithm, which employs the  combination of  the  conventional θ-pso and the shuffled sub-swarms particle optimization (sspso) technique. it is known that the θ-pso algorithm has better optimization performance than standard pso al...

A new algorithm is suggested for prediction of a Lagrangian particle position in a stochastic flow, given observations of other particles. The algorithm is based on linearization of the motion equations and appears to be efficient for an initial tight cluster and small prediction time. A theoretical error analysis is given for the Brownian flow and a stochastic flow with memory. The asymptotic ...