In this paper, two controllers are developed for a class of MIMO nonlinear systems. First, a robust adaptive controlleris proposed and proven to yield semi-global asymptotic tracking in the presence of additive disturbances and parametricuncertainty. In addition to guaranteeing an asymptotic output tracking result, it is also proven that the parameter estimatevector is driven to...

False matching due to errors in feature extraction and changes in illumination between frames may occur in feature tracking in image sequences. False matching leads to outliers in feature motion trajectory. One way of reducing the effect of outliers is stochastic filtering using a state space model for motion trajectory. Hyper-parameters in the state space model, e.g., variances of noise distri...

Classical visual object tracking techniques provide effective methods when parameters of the underlying process lie in a vector space. However, various parameter spaces commonly occurring in visual tracking violate this assumption. This thesis is an attempt to investigate robust visual object tracking and online learning methods for parameter spaces having vector or manifold structures. For vec...

In video object tracking, shadows are commonly present for general lighting environments and present a confounding factor for correct object tracking. Tracking the real object instead of a compound object with shadow is a challenging problem. Therefore object tracking results based on traditional schemes usually result in a combination of the object and its shadow. In this paper, we present a n...

BEIDOU AND GPS DUAL CONSTELLATION VECTOR TRACKING DURING IONOSPHERE SCINTILLATION AT EQUATORIAL REGION

image memory access, such as an access to a region This paper describes a high speed raster-to-vector conversion technique which is applicable to many fields in drawing processing. The major feature of the proposed technique is that raster-to-vector conversion can be realized by one simple raster scanning process to an input image and by processings performed only with contour tracking due to t...

By emulating some of the 'early' vision processes believed to occur in the visual cortex of mammals, dramatic savings can be made in the computational efforts usually associated with image processing. This paper describes the design and implementation of a low-cost visual tracking system that uses no special signal processing, vector processing nor floatingpoint hardware. Its effectiveness reli...

This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recognizers using kernel-SVMs can be elegantly adapted to localization by means of spatial perturbation of the SVM, using optic flow. Whereas Avidan’s SVM applies to each frame of a video independently of other frames, the ...

A topic tracking system that combines elements from vector space and language modeling frameworks to compute document scores is described. The model is used for both the traditional TDT topic tracking evaluation design and the new supervised adaptive topic tracking evaluation. Results indicate that supervised adaptation and score normalization should be more closely coupled, and that current te...