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Pedestrian detection is an important yet challenging task. In this paper, a pedestrian codetection framework for binocular stereo sequences is proposed. Binocular vision and consecutive frames can provide more information than a single image. That information can be used to improve detection performance by reducing the number of candidate detection windows with low confidence or enhancing the high-confidence...
Image registration technology is getting more and more important in nowadays. The accuracy of the registration resolution plays an important. In this passage, we present an image registration algorithm based on point feature of sub-pixel, which can improve the accuracy. Firstly we use Harris corner point algorithm to get point features, then we use our method to refine the Harris points, after that...
Single-trial detection of evoked brain potentials is essential for many research topics in neural engineering and neuroscience. In present study, a novel approach, which combines common spatial pattern (CSP) and multiple linear regression (MLR), is proposed to for single-trial detection of pain-related laser-evoked potentials (LEPs). The CSP method is effective in separating laser-evoked EEG response...
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