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Hand gesture recognition plays a vital role in human computer interaction. It is a difficult task to classify a real time video. This paper presents a dynamic hand gesture recognition method from a real time video of hand gesture. The colour space ‘YCbCr’ is used for correctly determining the skin colour. Features from real time video are then extracted using Histogram of Oriented Gradient (HOG) descriptors...
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...
We propose a Near-Duplicate Keyframe (NDK) retrieval method that can handle extreme zooming and significant object motion. The first stage consists of eliminating false keypoint matches using symmetric property and a ratio of nearest and second-nearest neighbor distances. Then, a pattern coherency score is assigned to each pair of keyframes. These two features are combined through linear discriminant...
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