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Radio Frequency (RF) tomographic tracking is the process of tracking moving targets by analyzing changes of attenuation in wireless transmissions. This paper presents a novel sequential Monte Carlo (SMC) method for RF tomographic tracking of a single target using a wireless sensor network. The algorithm incorporates on-line Expectation Maximization (EM) to estimate model parameters. Based on experimental...
This paper gives a new method to measure the speed of strip based on linear CCD. For the surface of any strip, the image signal collected by linear CCD can be seen as image with strip feature by accumulating for a while, and the directivity of the strip relate to the speed of the strip. The power spectrum of the strip image can reflect the degree of thickness and the directivity of the strip. So the...
Side Information (SI) generation is a key function in the DVC decoder, and plays a critical impact on the compression efficiency. This paper proposes an improved side information generation scheme of transform domain distributed video coding considering a novel content-based side information refinement technique, which is performed with the color and texture features to segment the side information...
Background subtraction is an effective method in detecting moving objects in a static scene, which requires a fixed camera, and a static background. Illumination changing is a challenging problem which causes failure of background subtraction. Most background subtract algorithms require the illumination changing slowly, so the object can be tracked accurately and the background is easy to update....
This paper proposed a new 2-dimension-code-like feature based on the Haar-like feature proposed by Viola et al. The feature can be calculated in different scales rapidly once the integral image is calculated and this characteristic is inherited from the Haar-like feature. Instead of reducing the dimensions after calculating redundant features, we calculate feature vectors with fixed dimensions for...
Background subtraction is an effective method in detecting moving objects in a static scene, which requires a fixed camera, and a static background. Illumination changing is a challenging problem which causes failure of background subtraction. Most background subtract algorithms require the illumination changing slowly, so the object can be tracked accurately and the background is easy to update....
A novel local image feature description method, which originates from the frameworks of classical SIFT (Scale Invariant Feature Transform) and SURF (Speeded up Robust Features), is presented in this paper. The design of our descriptor innovatively adopts sub-regions overlapped each other in feature description. Coordinated with overlapping sub-regions, we analyze different cell normalization methods...
Bad weather, such as fog and haze can significantly degrade the visibility of a scene. In order to overcome it, some approaches have been proposed. In this paper, we proposed a novel defogging algorithm just based on a single image. Firstly, we employ the method of dark channel prior as a foundation of our algorithm. After experimental analysis about the dark channel prior haze removal, we find that...
This paper addresses the problem of the orientation estimation. Basing on the present operator sets dedicated to the orientation estimation, we propose another approach to implement these operators. The approach is based on the Hermite transform and uses the filter functions of certain order to implement the gradient operators and the valleyness operators. The fact shows that neither the gradient...
Compared with other materials like metal, the nondestructive testing (NDT) of composites is still a relatively immature area. The ultrasonic thermography technology as well as the pulsed thermography technology is introduced for NDT of aircraft composite materials. Two specimens of aircraft composite material with a man-made defect were tested by these two methods respectively. The detection results...
This paper presents a post-processing method to evaluate blockiness in block-based video coding images. We propose three constraints to distinguish block boundaries from real edges and textures in the evaluation algorithm. The evaluation result is then used to tune the de-blocking filter on the frame level.
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