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Aiming at improving the detecting probability of weak target and adaptability in multi-clutter background, a new CFAR processing method based on DB4 wavelet (WT-FS-CFAR) is proposed. The proposed method can deal with the wavelet coefficients of the echo signal adaptively and reconstruct a new echo signal. Compared with typical CFAR processor, experimental results show that the proposed method could...
The style of clothing is complex and changeable, there are many kinds of clothing styles, different styles have different emotional expression, but the current description of clothing emotions is mostly qualitative characterization, and the words to express which have no systemic analysis until now. To establish the clothing semantic emotions space is the important prerequisite for computer recognition...
With the rapid development of GPU (Graphics Processor Unit) in recent years, GPGPU (General-Purpose computation on GPU) has become an important technique in scientific research. However GPU might well be seen more as a cooperator than a rival to CPU. Therefore, we focus on exploiting the power of CPU and GPU in solving generic problems based on collaborative and heterogeneous computing environment...
Video abstraction plays an important role in video browsing, video indexing, video retrieval and other video applications. In the paper, an automatic video abstraction method is developed based on relational graph representations. Firstly, a relational graph is constructed for all the frames in a video sequence. Secondly, the graph is partitioned into different connected subgraphs. Thirdly, Isomap...
In this paper, a new image classification method is developed. This approach applies graph decomposition and probabilistic neural networks (PNN) to the task of supervised image classification. We use relational graphs to represent image. These graphs are constructed from the feature points of images. Spectra of these graphs are obtained as feature vectors for classification. PNN is adopted to classify...
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