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This paper describes a pedestrian detection method using feature selection based on logistic regression analysis. As the parent features, Haar-like and Histograms of Oriented Gradients (HOG) features are used manually. For the statistical analysis, stepwise forward selection, backward elimination, and Least Absolute Shrinkage and Selection Operator (LASSO) methods are applied to our Logistic Regression...
By using intensity probability density and color invariance model, a novel feature-based color image watermarking method is proposed in this paper. Firstly, the uniform and robust feature points are extracted in the color invariance model by utilizing modified speeded up robust features (SURF) detector, in which the intensity probability density gradient is used instead of intensity gradient. Then,...
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