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Adaptive detection of range-spread target is discussed in the extremely training-deficient scenarios. The performance analysis of the detector without training data is conducted by Monte Carlo simulation. It implies that, the detector performs robustly for different correlations of clutter and for different target scatterer models. Furthermore, the detection performance improves as the number of channels...
Video text often contains highly useful semantic information, the analysis of which can to a great extent facilitate video retrieving and understanding. In this paper, a novel method has been proposed to detect video text. Text character strokes display dense edge features in both horizontal and vertical directions. Therefore the authors create a text edge map on the basis of the Kirsch operators...
In this paper we present a novel approach to detecting scene text based on the edge and color features. Firstly, because the character edge feature is not sensitive to the luminance changes, we extract the edge features to locate the candidate text region coarsely. Secondly, according to the text row character will keep similar color, we use the K-means clustering to extract color feature and locate...
A new edge correlation based matching method has been presented as an alternative to the typical implementation of intensity correlation based matching. The synthetic discriminant function (SDF) is well known correlation filter for distortion invariant object recognition, and the edge-based SDF (ESDF) presented here utilizes the 'structured information' rather than the fragile color or intensity constancy...
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