To improve the precision of three-dimensional hand tracking based on the particle filtering, a novel algorithm using Multi-Model fusion to improve the state prediction of particle filtering is put forward. Through analyzing the experimental data of the virtual interactive platform system, combining with the behavior understanding and description of hand, we firstly construct a model for human h...

SpecMAT is a magnetic active target (AT) for transfer reaction studies with low-intensity radioactive ion beams at the ISOLDE facility (CERN). combines two types of detectors: gas-filled time projection chamber (TPC), core detector tracking charged particles emitted in nuclear reactions, and an array auxiliary scintillation detectors in-flight γ-ray spectroscopy. All components are optimised op...

Visual tracking of humans or objects in motion is a challenging problem when observed data undergo appearance changes (e.g., due to illumination variations, occlusion, cluttered background, etc.). Moreover, tracking systems are usually initialized with predefined target templates, or trained beforehand using known datasets. Hence, they are not always efficient to detect and track objects whose ...

The principles of the calibration of a time projection chamber with radioactive Krypton83 are explained. The calculation of gain correction factors and the methods of obtaining a precise energy calibration are illustrated. The properties and advantages of Kr are summarized and compared to other radioactive calibration sources. It was shown that the Krypton calibration for the STAR FTPC is feasi...

Visual tracking of articulated motion is a complex task with high computational costs. Because of the fact that articulated objects are usually represented as a set of linked limbs, tracking is performed with the support of a model. Model-based tracking allows determining object pose in an effortless way and handling occlusions. However, the use of articulated models generates a multidimensiona...

Automatic lane tracking involves estimating the underlying signal from a sequence of noisy signal observations. Many models and methods have been proposed for lane tracking, and dynamic targets tracking in general. The Kalman Filter is a widely used method that works well on linear Gaussian models. But this paper shows that Kalman Filter is not suitable for lane tracking, because its Gaussian o...