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In this paper, a learning approach is proposed to classify the fog situations into no fog, fog and dense fog three types. Feature vectors designed according to the contrast and details of foggy images are extracted to form the training set. By using the Gaussian Mixture Model to model the probability density of three situations and learning the parameters of the model with the expectation maximization...
Moving vehicle detection is very important for urban traffic surveillance and situational awareness on the battlefield. Algorithms with cascade structure like Adaboost are booming in the recent decade, and successful in realtime application. However, most of them use a sliding window protocol on multi-scale images which involves heavy computing. Therefore, they are only suitable for simple feature...
Aiming to the characteristics of airborne infrared image and digital raster graphic, a hierarchical registration method based on feature is proposed. Firstly, the perspective distortion and rotation of the infrared image are corrected. Secondly, the log-polar technique based on edge features is implemented in order to achieve the preliminary registration result. Thirdly, matching points are selected...
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