Evolutionary design of local binary pattern feature shapes for object detection

This paper deals with the evolutionary design of application specific feature shapes of Local Binary Pattern (LBP) features for object detection in image processing applications. LBP features are very often utilized in image classification systems which are used for pattern recognition. By using genetic algorithm the application of specific weak classifiers´ feature shapes, which are highly optimized to achieve a better accuracy of the AdaBoost strong classifier, are being evolved.