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In this paper a novel method for subspace decomposition and its dimension estimation based on principle components analysis (PCA) neural network is proposed. This method use an improved Sanger PCA network model which can directly process the array data to obtain its signal subspace and does not involve any estimation of the covariance matrix or its Eigen decomposition. Meanwhile, this method can estimate...
The thresholding method is a fundamental part for motion detection and other advanced applications,so this step is very important, it must base on a reliable, effective method in order to access to the robustness of the computer intelligent video surveillance system. A new thresholding method which is simple and effective is proposed in the article. Firstly, we propose an imitating uni-Gaussian model...
Multi-scale edge detection method was demonstrated, also detailed algorithms, flow chart were put forward, shaft partspsila image as an example in this article. The algorithms resolve two problems existing in the first generation multi-scale edge detection, the demerits were edge defined only considering its irregularity and difficult selection of filtering scale. More satisfied edge detection results...
Newly emerged applications are producing a large amount of traffic and connection in the Internets. And they are becoming increasingly difficult to detect. Signature based method are currently the approaches for discovering and detecting the patterns of application. However, these methods may confront their difficulty in validating the efficiency and quality of signatures for unknown applications...
Based on the sharing features of a variety of license plates (LP), the vertical edge was first detected by sobel color edge detector. Then, some approaches were adopted to adaptively remove the invalid edge regarding the characteristics of edge grayscale jump and edge density, so that the regions having features of LP were preserved. Next, by edge density template matching and the mean and variance...
Through analyzing the factors influencing BBD ball mill load and the measure characteristics, a BBD ball mill load measure method, based on rough set and neural networks information fusion, was proposed. A group of neural networks were constructed for material measure according to the relative reductions, which was feature-level information fusion. Then using the attribute significance determining...
The key to jam frequency-hopping communication is to estimate its parameters efficiently and precisely. An algorithm for estimating the hop duration of frequency hopping (FH) signals based on multi-window partially overlapped reassigned smoothed pseudo WVD (RSPWVD) and adaptive threshold detection technique is proposed. It divides the signal into segments according to some analytical window, analyses...
An eye-gaze tracking system-EyeSecret for real scene, is developed based on pupil-cornea reflection vector method. The general structure and software design are introduced. In the hardware of EyeSecret, design and optimization of optical system and control circuits were proposed. In the software, implementation algorithms of key modules, cornea reflection detection, pupil center extraction and calibration,...
Because the difference among mother electrocardiogram (MECG)' attractors, fetal ECG (FECG)psilas and other noise's, a local linear projection technique is presented for extraction FECG from an abdominal ECG recording of a pregnant woman. The basic idea of the technique is the identification of the hyperplane containing the FECG signal and projection the noisy data onto this manifold. Visual test results...
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