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As an important branch of the computers, machine vision technology has a great influence on intelligent surveillance, human-computer interaction, and virtual reality. This paper introduced an intelligent emulator which used machine vision technology to guide navigation. The intelligent emulator is controlled by the human posture. The hardware of intelligent emulator includes control unit, obstacle...
Pedestrian detection exhibits important application value in driver assistance systems, The detection performance often suffers from the various appearances of pedestrians, the illumination changes and complex background. Aiming at solving these challenges, in this paper, first, a new color moments feature is presented to describe the local similarity structure of pedestrians, which reduces the influence...
Text contained in images and video frames provide an important clue for content based images and video indexing. However, in natural scene, text elements are corrupted by many types of noise, such as streaks, highlights, or cracks. These effects make the clean and automatic segmentation very difficult and can reduce the accuracy of further analysis such as optical character recognition. This paper...
In the work, an example-based method of touching string segmentation is proposed. Using Markov random field, the candidate patches based on the compatibility of the neighbour patches are selected. The outputs of the MRF after the iterative belief propagation form a segmentation probability map. The cut position is extracted from the map. Experiment results are presented and demonstrate the effectiveness...
Border officers are a special group within the board range of army officers. They are responsible for the organization and implementation of the development of border armies. Therefore the competency of these officers will directly affect the successfulness of these developments. Through a review of relevant literatures this paper first gives an overview on the state of competency research. This paper...
In this paper, a double artificial neural network (ANN) algorithm has been established for calculating the Vapour Pressure of gasoline from the results of multidimensional gas chromatography analysis. Multidimensional resolution column was applied to obtain the results of the detailed hydrocarbon analysis of gasoline. The double ANN regression model has been established between the results of the...
Covert channels via the widely used TCP/IP protocols have become a new challenge issue for network security. In this paper, we propose an effective method to detect the existence of hidden information in TCP ISNs (Initial Sequence Numbers), which are known as the most difficult covert channels to be detected. Our method uses phase space reconstruction to characterize dynamic nature of ISNs. A statistical...
In this paper, we propose an example-based facial sketch hallucination approach. Given a face image, its sketch image will be automatically hallucinated by learning from a training set, which includes a lot of face images and their corresponding sketch images. Our algorithm involves three stages. In the first stage which is called ??feature extracting??, we create the feature pyramid for each face...
The algorithm of touching string segmentation is concerned in the work. We proposed an example based touching string segmentation algorithm. The supervised learning was used on the labelled examples and the Markov Random Field has been applied on. We used the belief propagation minimization method to select the candidate patches based on the compatibility of the neighbour patches. The output of the...
In this paper we use a multilayer neural network (MNN) constructed by a Monte Carlo based algorithm to forecast time series events. Experiments are carried out on two benchmark problems in time series forecasting literature. Our result shows a comparative performance with other prediction methods. In our approach, a multilayer neural network with high level of generalization ability is obtained without...
The dimension reduction is necessary steps for face recognition based on subspace analysis. The proposed method employs class information for structure of similarity matrix when implement of 2DLPP. A subspace which preserves local neighbor structure and centralizes same class samples of training images is got. Moreover, it has available computation efficiency and accuracy because it belongs to the...
Regularization plays a vital role in ill-posed problems. A properly chosen regularization can direct the solution toward a better quality outcome. An emerging powerful regularization is one that leans on image examples. In this paper, we propose a novel scheme for face hallucination. We target specially the quality of highly zoomed outputs. Our work bases on the pyramid framework and assigns several...
Image principle component analysis (IMPCA) is a rapid direct feature extract approach from matrix. We present the basic theory of IMPCA from the view of minimizing the mean reconstruction error. We analyze the feature generated from IMPCA and find they present row characters. Wavelet transform can be used in reducing noise of images and the wavelet image should be more suitable for recognition. Our...
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