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Compressive Tracking (CT) model is a recently proposed method for visual tracking, in which the appearance model is constructed from the features selected from the multiscale image feature space based on compressive sensing. The CT tracker has been proven to be effective. However, since it does not discriminatively consider the sample importance in its learning procedure, the CT tracker may detect...
The Chan-Vese model is one of the most popular region-based active contours, and its vector-valued extension is also powerful for multichannel images. Very recently, the histogram is introduced into the Chan-Vese model due to the effectiveness of histogram to model region information. Motivated by the fact that the histogram is also a powerful tool to characterize texture, it is introduced into the...
Omni-directional vision (omni vision) has been used in many fields because of its advantage of extremely wide view; one way to establish omni vision system is using fisheye lens. Target recognition and tracking is a tough task in computer vision, which is even more challenging in outdoor environment. In this paper, a recognition and tracking algorithm suitable for a natural target in outdoor environment...
Target recognition and tracking is a tough task in computer vision. How to recognize a target accurately and tracking robustly is still a core problem studied by researchers. And the task is even more challenging in outdoor environment. In this paper, a recognition and tracking algorithm suitable for a natural target in outdoor environment is introduced. The natural target we choose is the overhead...
Because of its advantage of panoramic sight with a single compact visual scene, omni-directional vision technology has extreme application value in many fields. One of the most effective ways to establish omni-directional vision system is using fisheye lens. However it brings a strong unavoidable inherent distortion while it provides hemispherical field of view. But it can be corrected by some image...
Omni-directional vision navigation appears definite significant since its advantage of panoramic sight with a single compact visual scene. This unique guidance technique involves target recognition, vision tracking, object positioning, path programming. An algorithm for omni-vision based global localization which utilizes two overhead features as beacon pattern is proposed in this paper. An approach...
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