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In order to handle occlusion and illumination change in video object tracking, an algorithm named compressive object tracking based on weighted multiple instance learning (COTWMIL) is proposed. Each sample is descripted in a multi-scale fashion with rectangle filterbank, and then the dimension of extracted feature is reduced by compressive sampling. Specifically, object region is first labeled manually...
In this paper, an unsupervised seafloor segmentation method using combined texture features of sidescan sonar images is proposed. Two sets of features are considered in the proposed algorithm. One calculates the statistics from the gray-level co-occurrence matrix (GLCM), and the other obtains the statistics in the nonsubsampled contourlet transform domain (NSCT). The two sets of features are combined...
Aiming at the problem that the action recognition algorithms based on vision have a high requirement of the background and the human position relative to the sensor, an algorithm which is robust to the position changing of the human is proposed. The Microsoft v2 is used to collect skeleton data and standardize it, then the feature vectors are extracted from the data, at last after the correction of...
The fractal dimension can measure the distribution of pixels' intensities. Thus, it can be used as a tool to describe the image content. Three kinds of fractal dimensions i.e. box dimension, correlation dimension and information dimension are applied in the construction of fractal features. The object recognition is accomplished according to the similarities of the fractal features. The experiments...
According to the features of SAR image, a new algorithm for image registration based on straight lines is proposed. It is divided to four steps: firstly, compute the attribute parameters of straight lines according to the angles between the line and its neighbor lines. Then, design proper similarity measure function to compute the similarity between lines and find the cursory match result. Thirdly,...
A novel image denoising method is proposed in this paper by using local non-negative matrix factorization (LNMF) with sparse constraint, denoted by SC-LNMF. LNMF method can successfully extract the local feature of a nature image and denoise images efficiently. However, LNMF method does not consider the image's sparse prior distribution and the sparse control of feature basis vectors and sparse coefficients...
Although the human speaker recognition system based on RBF network is one of the main models for recognizing speakers, it has some shortcomings, this is, the hidden layer node number of RBF network is often hard to be assigned, and the system has a slow convergence speed. In this paper, a RBF network optimization scheme based on genetic algorithm for human speaker recognition is proposed. In the scheme,...
In this paper contrapose the characteristic of Uyghur character, propose a new method for Uyghur character recognition basing on neural network. The means utilizes projection to isolate the letters of the connected character field, then put pretreatment Uyghur character block image mode classify using neural network, extraction of outer features. It indicates that we can get relatively satisfying...
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