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...

PIM (Protocol Independent Multicast) is capable of supporting sparse mode (SM) and dense mode (DM) operations. In sparse mode, PIM can use shared trees (RPT) or shortest path trees (SPT) to deliver data packets. One frequently asked questions was how to decide when to use sparse mode and when to use dense mode. What is the criteria? Another unanswered question was whether packets can be lost wh...

The SQuad data structure represents the connectivity of a triangle mesh by its “S table” of about 2 rpt (integer references per triangle). Yet it allows for a simple implementation of expected constant-time, random-access operators for traversing the mesh, including in-order traversal of the triangles incident upon a vertex. SQuad is more compact than the Corner Table (CT), which stores 6 rpt, ...

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 ...

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...