This paper proposes a new radar tracking filter named Noise-estimate Particle Filter (NPF). Kalman filter and particle filter are popular filtering techniques for target tracking. The tracking performance of the Kalman filter severely depends on the setting of several parameters such as system noise and observation noise. However, it is an open problem how to choose proper parameters for variou...

PURPOSE Intrafraction rotation of more than 45° and 25° has been observed for lung and prostate tumors, respectively. Such rotation is not routinely adapted to during current radiotherapy, which may compromise tumor dose coverage. The aim of the study was to investigate the geometric and dosimetric performance of an electromagnetically guided real-time dynamic multileaf collimator (DMLC) tracki...

Full chip statistical fault injection has been performed on a hardware emulated POWER6 platform. These results were validated against proton beam injection results. The fault isolation, error recovery and error logging capabilities of the POWER6 enabled measurement of the architectural derating factors. The proportion of errors as well as derating factors matched well between the simulated and ...

In this paper, we address full-body articulated human motion tracking from multi-view video sequences acquired in a studio environment. The tracking is formulated as a multi-dimensional nonlinear optimisation and solved using particle swarm optimisation (PSO), a swarm-intelligence algorithm which has gained popularity in recent years due to its ability to solve difficult nonlinear optimisation ...

Finite particle methods allow studying the detailed beam and plasma characteristics, the distribution function of particles, the nonlinear self and external fields. A particle-in-cell method is one of finite particle methods and it is the most effective for simulations in physics of plasma and charged particle beams. The basement and resent development of the particlein-cell method are presente...

Hand gesture recognition is very important to communicate in sign language. In this paper, an effective object tracking and hand gesture recognition method is proposed. This method is combination of two well-known approaches, the mean shift and the motion detection algorithm. The mean shift algorithm can track objects based on the color, then when hand passes the face occlusion happens. Several...

This paper presents a study of the accuracy and performance issues involved in parallel, in-element particle tracking methods. Eulerian-Lagrangian methods (ELM) are employed to solve a variety of partial differential equations (PDEs), and is well suited to solution of advection/convection-dominated PDEs. The Lagrangian step employed by these methods is used to more accurately handle the advecti...