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This paper proposes a method for human detection in crowded scene from static images. We introduce to combine edgelet and LBP features to obtain more discriminative representations for local area. To cope with partial occlusion, part detectors are learned using real AdaBoost in bootstrap way. Responses of part detectors are combined to form the final results. We test our approach on several common...
How to separate foreground from camera and background motions is a difficult problem for human action recognition in unconstrained environments. Although the existing interest point based methods have shown attractive results, they always come with high computational complexity and lose their power in cluttered field with camera motion. In this paper, a new spatio-temporal interest point detector...
Index: In radio astronomy, DFT (Discrete Fourier Transformation) is usually used to analyze radio sources. The window functions play important roles in DFT. They determines spectra's main-lobe width and leakages, and then affect observation results. In this paper, at first we discuss the different window functions in DFT algorithm, including their main-lobe widths, peak side lobe levels, and so on...
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