One of the hard problems that combines research in Computer Graphics and Computer Vision is tracking human limbs in real time without using any markers. This problem is known to be notoriously difficult and ill posed. In this paper we present a technique to track human limbs at near interactive rates without markers. This work builds on, modifies, and adds to the state-of-theart tracking techni...

a two-dimensional single particle finite element model was used to examine the effects of particle fragmental pattern on the average molecular weights, polymerization rate and particle overheating in heterogeneous ziegler-natta olefin polymerization. a two-site catalyst kinetic mechanism was employed together with a dynamic two-dimensional molecular species in diffusion-reaction equation. the i...

The visual robust tracking is an acid test for existing methods since the target with large-dynamic-change scenarios. Specifically, this paper presents neural aided Bayesian filtering scheme which is based on Monte Carlo resampling techniques associated with lower particles hypothesis to addresses the computational intensity that is intrinsic to all particle filter (PF) approaches, including th...

Robust visual tracking has become an important topic in the field of computer vision. The integration of cues such as color, edge strength and motion has proved to be a promising approach to robust visual tracking in situations where no single cue is suitable. In this paper, an algorithm is presented which integrates multiple cues in a probabilistic manner. Specifically the likelihood of each c...

In multiple target tracking with radar, weak target measurements are often hard to observe due to masking by sidelobes of measurements from stronger targets. The result is lost tracks and deteriorated joint tracking performance. In this work, we design configurable waveforms and adjust the positioning of their ambiguity function (AF) sidelobes to unmask weak targets and improve tracking perform...

A method is developed for computations of interfacial flows in complex geometries. The method combines a fronttracking method with a newly developed finite volume (FV) scheme and utilizes an auxiliary grid for computationally efficient tracking of interfaces in body-fitted curvilinear grids. The tracking algorithm reduces particle tracking in a curvilinear grid to tracking on a uniform Cartesia...

We present a colorand shape-based 3D tracking system suited to a large class of vision sensors. The method is, in fact, applicable with any projection model, provided that it is calibrated and the projection function is known. The tracking architecture is based on Particle Filtering methods where each particle represents the 3D state of the object, rather that its state in the image, therefore ...

We present a color and shape based 3D tracking system suited to a large class of vision sensors. The method is applicable, in principle, to any known calibrated projection model. The tracking architecture is based on particle filtering methods where each particle represents the 3D state of the object, rather than its state in the image, therefore overcoming the nonlinearity caused by the projec...

Tracking multiple targets with similiar appearance is a common task in computer vision applications, especially in sports games. We propose a Rao-Blackwellized Resampling Particle Filter (RBRPF) as an implementable real-time continuation of a state-of-the-art multi-target tracking method. Target configurations are tracked by sampling associations and solving single-target tracking problems by K...