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In this paper, we propose a novel automatic traffic sign detection and recognition method. Detection is based on a boosted detectors cascade, trained with a novel evolutionary version of Adaboost. Segmentation is implemented by the improved Grab cut via the detection information. Classification is defined as a multiclass categorization problem, which is solved by HOG feature and support vector machine...
Foreground object extraction, which aims to accurately separate a foreground object from its background in still images, plays an important role in many computer vision applications. An interactive object extraction method by extending the graph cut approach is presented in this paper. The coarse-to-fine object segmentation method makes it efficiently to specify the main object and adjust the detail...
In reality, the paper money number recognition is significant, which can effectively prevent the illegal trade of paper money. First, this paper makes pretreatment to the paper money, and then for the rapidity and accuracy requirements, a new identification method is presented which based on intersection change and the distance difference between the two points of the character on the special location...
In this paper, we propose an approach to segment the multiple objects in video. For a video sequence with stationary background, our approach combines the feature points with the color and contrast information to extract the multiple objects of different sizes. The idea is that the local features of the feature points are more robust than that of the pixels, and more accurate than the global color...
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