In the low Earth orbit, target tracking with ground based assets in context of situational awareness is particularly difficult. Because nonlinear state propagation between moments measurement arrivals, inevitably accumulated errors will make prediction and likelihood inaccurate uncertain. this article, optimizable models learned parameters are constructed to model uncertainties. A closed-loop v...

Considering the problems of similarity interference, partial occlusions, and changes in scale during target tracking, a tracking method based on interference detection is proposed, which an improvement over Siamese fully convolutional classification regression neural network (SiamCAR) approach. Under proposed framework, marginal distribution feature maps used to determine presence or absence in...

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...

The ability to perform different tasks by a serial manipulator mounted on legged robots, increases the capabilities of the robot. The position/force control problem of such a robot in the stance phase with point contacts on the ground is investigated here. A target plane with known stiffness is specified in the workspace. Active joints of the legs and serial manipulator are used to exert the de...

Target tracking performance can be improved by using multiple robot trackers, but this requires a coordinated motion strategy among the robots. We propose an algorithm based on treating the densities of robots and targets as properties of the environment in which they are embedded. By suitably manipulating these densities a control law for each robot is proposed. The proposed algorithm has been...

Developing optimal flocking control procedure is an essential problem in mobile sensor networks (MSNs). Furthermore, finding the parameters such that the sensors can reach to the target in an appropriate time is an important issue. This paper offers an optimization approach based on metaheuristic methods for flocking control in MSNs to follow a target. We develop a non-differentiable optimizati...

Image target detection and tracking methods based on target information such as intensity, shape model, histogram and target dynamics have been proven to be robust to target model variations and background clutters as shown by recent researches. However, no definitive answer has been given to occluded target by counter measure or limited field of view(FOV). In this paper, we will present a nove...

In this paper, through wall moving target tracking by M-sequence UWB radar is described. For that purpose, the imaging method consists of radar signal processing phases such as raw radar data preprocessing, background subtraction, data fusion obtained by receiving antennas of radar, detection, localization and tracking itself, is used. Our paper is focused on last phase tracking. Here, new nonl...

Particle filtering is a sequential Monte Carlo technique that recursively computes the posterior probability density function using the concept of “Importance Sampling”. This paper considers the application of particle filtering technique to a target tracking application, in which a radar sends a signal towards a target and estimates the state (position and velocity) of the target using the obs...