Recently, discriminative correlation filter-based method becomes one of the popular directions in the field of visual tracking because of its computational efficiency and excellent performance, which make it especially suitable for real-time application. Most of them are focused only on the transition estimation. However, accurate scale estimation of the target plays a very important role in lo...

In this paper, through wall moving target tracking by M-sequence UWB radar is described. For that purpose, the imaging method consists of radar signal processing phases such as raw radar data preprocessing, background subtraction, data fusion obtained by receiving antennas of radar, detection, localization and tracking itself, is used. Our paper is focused on last phase tracking. Here, new nonl...

this paper studies the use of unscented kalman filters (ukf) to estimate nonlinear dynamics and, specifically, adaptive determination of scaling parameters in these filters. due to lack of analytic solution and use of numerical methods instead, the computational load of these filters increases drastically. in this paper, a new method is proposed based on interactive multiple models (imm) which ...

We present an acoustic musical instrument played through a resonance model of another sound. The resonance model is controlled in real time as part of the composite instrument. Our implementation uses an electric violin, whose spatial position modifies filter parameters of the resonance model. Simplicial interpolation defines the mapping from spatial position to filter parameters. With some eff...

The paper represents an effective and robust facial feature tracking approach based on the multi-cue particle filter. Both color and edge distributions are integrated into the filter to ensure the tracking accuracy. Sub-region color model is used to rapidly depict the spatial layout of each facial feature. Furthermore, the paper uses edge orientation histogram as a complementary feature to enha...

In this paper, a highly linear and low noise CMOS active RF tracking filter for a digital TV tuner is presented. The Gm cell of the Gm − C filter is based on a dynamic source degenerated differential pair with an optimized transistor size ratio, thereby providing good linearity and high-frequency operation. The proposed RF tracking filter architecture includes two complementary parallel paths, ...

Nonlinear state estimation and fusion tracking are always hot research topics for information processing. Compared to linear fusion tracking, nonlinear fusion tracking takes many new problems and challenges. Especially, the performances of fusion tracking, based on different nonlinear filters, are obviously different. The conventional nonlinear filters include extended Kalman filter (EKF), unsc...

Autonomic control of a service system can take advantage of a performance model only if a way can be found to track the changes in the system. A Kalman Filter provides a framework for integrating various kinds of measured data, and for tracking changes in any time-varying system. This work evaluates the effectiveness of such a filter in tracking changes in performance parameters of a software s...