A symplectic multi-particle tracking model is implemented on the Graphic Processing Units (GPUs) using the Compute Unified Device Architecture (CUDA) language. The symplectic tracking model can preserve phase space structure and reduce non-physical effects in long term simulation, which is important ...
The transmitted images give the spatial resolution and by tracking the position of particle(s) in the trap, we get the position distribution and the trajectory of particle. Figure 2c and d show the position distribution of particle(s) along x- and y-axis and Fig. 2e shows the trajectory ...
For the reconstruction of p + Pb and Pb + Pb data, the same tracking algorithms are used. The track selec- tion requirements are modified slightly from those applied in the pp reconstruction. Specifically, the same require- ments are imposed on the impact parameters, although |d0| is ...
在本节中,讨论与本文相关的一些方法,主要是相关滤波和粒子滤波。 相关滤波:Different from existing tracking methods based on correlation filters, we propose a multi-task correlation filter to exploit interdependencies among different features to learn their correlation filters jointly. 与现存的基于相关滤波的...
The paper treats a multi-object tracking approach based on a multi-layer particle filter which is able to deal with the class of unclustered spatially extended measurements. The particle filter uses a so called adaptive layer distribution spanned over the tracking space, which determines the ...
The two-dimensional experimental diffusivity tensors of the ensembles are calculated from particle positions, determined by standard particle tracking algorithms. The particle-particle interactions in the bulk away from surfaces can be well approximated by using the Oseen tensor to derive diffusivities ...
multi-target trackingparticle filtersequentialParticle filter is a probability estimation method based on Bayesian framework and it has unique advantage to describe the target tracking non-linear and non-Gaussian. In this study, firstly, analyses the particle degeneracy and sample impoverishment in ...
Improv ed particle filters for multi-target tracking Vasileios MaroulasMaroulas, VasileiosStinis, Panos
The traditional active shape model (ASM) and optical flow tracking methods are mainly used in the near frontal face or little changes on the face. However, they may easily fail to work, when there exists a change of face posture, expression or shelter. This paper presents a particle filter...
Object tracking in computer vision is an attractive research field due to its widespread application area and challenges. In the recent years, Particle filter is known as a prominent solution for the state estimation problems in point tracking and successfully applied in a wide range of applications...