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Object Tracking is an important task in Computer Vision, which has gained increasing attention from academia to industry. In this paper, we propose a real-time tracking system based on weak segmentation. Different from general tracking by detection systems, we do not classify objects into car, cat or bike, instead we just classify the image into object area and non-object area. Many tracking systems...
Segmentation of brain blood vessels is essential in medical diagnostic applications. In this study, a new active contour model (ACM) implemented by the level-set framework is proposed for segmenting vessels from TOF-MRA data. The energy function of the proposed model, combining region intensity and boundary information, is composed of two region terms, one boundary term and one penalty term. The global...
In this paper, we present a novel approach which employs the temporal redundancy of video texts to improve the performance of text segmentation and stroke extraction from complex background. We first demonstrate how to obtain the required aligned text image sequences from video frames via a robust corners-set matching scheme. Then the changing background pixels can be identified and removed by exploiting...
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