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Partial Discharge (PD) in cable systems causes deterioration and failure, identifying the presence of PD is crucial to Asset Management. This paper presents methods for interference signals rejection and for PD interpretation for five types of artificial defect in 11 kV ethylene-propylene rubber (EPR) cable. Firstly, the physical parameters of the artificial defects used for PD signal generation are...
In this paper, we present a visual mechanism and a visual saliency model which is suitable for the visual tracking algorithm. In order to extract robust feature of motion area, instead of using saliency map to detect moving targets, our algorithm adopts a bottom-up attention model based on the human visual information processing mechanism. The method is robust to illumination and viewpoint changes...
Aimed at the problem for low accuracy of athlete number positioning under the complicated background, an algorithm of localization which based on edge detection and color features was presented. First, the edge detection method on the basic of the character features of athlete number was applied to the athlete number image. Then, the binary image processing was carried on by selecting an optimal threshold,...
Recently, sports video analysis for retrieval purpose has become a hot research area. As important clues to sports video content analysis, detection and recognition of the number of athletes is a direct method to identify athletes. In this paper, we propose a method of detect rigid number of athletes. The number of athletes, as an example, we explored methods of detection and identification of the...
Multimedia information processing is a new technology developing rapidly recent years, among which the Image Matching Technology has wide range of applications in various fields, such as face recognition and building recognition, image database retrieval, etc. This paper focus on the accuracy of image matching using SIFT (Scale Invariant Feature Transform) algorithm to extract feature points from...
In order to raise the efficiency of face recognition, a method based on back-propagation (BP) neural network and probabilistic neural network (PNN) integration was introduced. The method uses the kernel independent component analysis (KICA) to extract facial features, puts eigenvectors into the BP neural networks and PNN to learn, and outputs the two classification and recognition results by relative...
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