We propose and investigate a framework that utilizes novel aspects concerning probabilistic and morphological visual processing for the segmentation, tracking and handshape modeling of the hands, which is used as front-end for sign language video analysis. Our ultimate goal is to explore the automatic Handshape Sub-Unit (HSU) construction and moreover the exploitation of the overall system in a...

In high dynamic conditions, using vector tracking loops instead of scalar tracking loops in GPS receivers is proved as an efficient method to compensate the performance. The Minimum Mean Squared Error detector as a multiuser detector is applied in the vector tracking loop for more reliability and efficiency. The Kalman filter does the two tasks of tracking and extracting the navigation data aft...

We present a system for robust pitch extraction in noisy and echoic environments consisting of a multi-channel signal enhancement, a pitch extraction algorithm inspired by the processing in the mammalian auditory system and a pitch tracking based on a Bayesian filter. For the multi-channel signal enhancement we deploy an 8 channel Geometric Source Separation (GSS). During pitch extraction we fi...

One of the most important and typical application of wireless sensor networks (WSNs) is target tracking. Although target tracking, can provide benefits for large-scale WSNs and organize them into clusters but tracking a moving target in cluster-based WSNs suffers a boundary problem. The main goal of this paper was to introduce an efficient and novel mobility management protocol namely Target Tr...

One of the main problems in wind energy conversion system (WECS) is how to achieve maxim‌u‌m output power in different wind speeds. Maximum methods for maximum power point tracking in wind energy conversion syst‌e‌ms require the knowledge of system characteristics and mechanic sensors. So, using these methods practically will follow with high price and an abundant difficulties. In this pape...

A model predictive control algorithm is developed for stabilizing a team of nonholonomic mobile robots navigating in formation within an obstacle-populated environment. In this scenario, the leader robot may need to execute abrupt maneuvers (i.e., sudden stops and backward motions) in order to avoid collisions and accomplish mission objectives. Moreover, follower robots should be capable of tra...

I. INTRODUCTION Object tracking is useful in many applications, and it is an active research area of computer vision. It is commonly used in human computer interaction and visual surveillance systems. Conventional methods such as background subtraction and mode seeking have been widely used, while many new approaches involving active shape models and graphical models were proposed over the past...

Occlusions are one of the biggest obstacles to reliable tracking. While many existing algorithms perform well while the objects of interest are separated, they often swap object identities when multiple objects occlude one another. We focus on the problem of tracking multiple, nonrigid targets through severe occlusions. Our occlusion reasoning algorithm takes advantage of reliable separated obj...

In this paper, we solve a stochastic linear quadratic tracking problem. The controlled dynamical system is modeled by of Itô differential equations subject to jump Markov perturbations. We consider the case when there are two decision-makers and each them wants minimize deviation preferential output from given reference signal. assume that do not cooperate. Under these conditions, state conside...