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This paper proposes a novel method for synthetic aperture radar (SAR) target detection by using multi-scale SAR images based on visual attention model, which can automatically find the vehicle targets from the complicated background with clutters such as trees and buildings. In our method, firstly, a saliency map is obtained from a Gaussian pyramid of the original SAR image, where the image scales...
With the development of science and technology, the technique of detecting regions of interest (ROI) plays an increasingly role in the field of the image analysis and processing. Human vision system actively seeks interesting regions in images to reduce the search export in tasks, such as object detection and recognition. Similarly, prominent actions in video sequences are more likely to attract human's...
Visual concept detection is one of the most important tasks in image and video indexing. This paper describes our system in the ImageCLEF@ICPR Visual Concept Detection Task which ranked first for large-scale visual concept detection tasks in terms of Equal Error Rate (EER) and Area under Curve (AUC) and ranked third in terms of hierarchical measure. The presented approach involves state-of-the-art...
A novel brain computer interface (BCI) is implemented in this study, which only depends on auditory modality. The subjects voluntary recognition of the property (e.g. voice laterality) of a target human voice makes the discriminability between brain responses to target and non-target voices in a random sequence. EEG data from eight subjects showed that the amplitude of N2 and late positive component...
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