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In this paper, we propose a novel tracking framework, multi-cues spatial pyramid matching (MSPM). Different cues are used to generate a set of probability maps, where the value of each pixel indicates the probability that it belongs to the foreground. Then those probability maps are combined into a single probability map by a weighted linear function. There exist two main contributions. First, a generic...
The URA is one of the coded aperture imaging techniques. It has been used or proposed for X-ray imaging. In the URA, the pinhole is replaced by multi-pinholes array arranged in m-sequences. The pattern of the array is set as its correlation between the multi-pinholes and the decoding operator must be the delta function. So the URA can provide a two-dimensional image with a high resolution and high...
In this paper, a palette partition based data hiding for color images is proposed. The palette used in color image quantization is partitioned into sub-palettes according to the similarity of colors. Any size of sub-palettes is permitted and a color can appear in several sub-palettes at the same time. Furthermore, a mapping function is designed to process color embedding for color belongs to three-color...
In this paper, we proposed an enhanced kernel based algorithm for visual tracking based on the video sequences captured from a fixed camera on the top of the scene. The technique presented here employs the image color intensity information and the local binary pattern (LBP) to construct a four dimensional histogram representative of the color intensity values and the texture of the target under study...
Digital subtraction angiography (DSA) is a very useful tool to examine and visualize coronary blood vessels, especially for the coronary interventions. However coronary X-ray digital subtraction angiography suffers from heart beat and patient motion artifacts, and current commercial DSA devices don't provide subtraction images for the coronary DSA since the currently algorithms cannot be fast enough...
This paper introduces a new representation of hand motions for tracking and recognizing hand-finger gestures in an image sequence. A human hand has 15 joints and its high dimensionality makes it difficult to model hand motions. To make things easier, it is important to represent a hand motion in a low dimensional space. Principle component analysis (PCA) has been proposed to reduce the dimensionality...
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