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Stereo matching has been one of the most active research topics in computer vision domain for many years resulting in a large number of techniques proposed in the literature. Nevertheless, improper combinations of available tools cannot fully utilize the advantages of each method and may even lower the performance of the stereo matching system. Moreover, state-of-the-art techniques are usually optimized...
Most traditional visual tracking algorithms ignore the importance of tracking failure detection which is helpful for occlusion handling. To address this problem, a robust visual tracking algorithm combining the tracking model and the failure detection strategy is proposed for the needs of practical applications. In order to tracking the position and scale of the target with high speed and accuracy,...
Real-time, accurate and robust target tracking on mobile devices is an important problem which can facilitate applications such as augmented reality. However, it is still unsolved, partly due to the mobile's computing limitations. Compressive tracker performs favorably against state-of-the-art algorithms in terms of efficiency, accuracy and robustness, but as limited by the speed of feature matching,...
A multi input multi output (MIMO) robust adaptive fuzzy control is presented for the longitudinal dynamics of a hypersonic aircraft. Because of various sources such as modeling errors, in-flight failure and external disturbances, the vehicle dynamics are partially or completely unknown. Furthermore, the vehicle state variables are unavailable for measure in the complicated flight conditions. As a...
Cubic data has two notable characteristics, the first being the large size of the datasets, requiring compression for storing or Internet transfer, the second is possible occurrence of many line or plane singularities which need to be preserved in compressed data. Ridgelet, a new analytic tool, has the ability to describe linear or super-plane singularities. The ridgelet transform can be described...
In this paper we present a new technique for design of nonlinear feedback controllers that yield satisfactory tracking performance for a class of dynamic systems. The controller is based on minimization of predicted tracking errors. Some tracking convergence properties of the controller are established. In the face of model uncertainties, we show that the unique structure of the controller allows...
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