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Pedestrian detection in infrared videos is a task full of potential, and has gotten more and more attention. To robustly detect the pedestrians in infrared image, a PCA-based detecting framework is designed in this paper. The proposed pedestrian detection system can be divided into two parts: training and classification. When the training stage is running, PCA is performed on two different datasets,...
Multiple Instance Learning (MIL) has been an interesting topic in the machine learning community. Since proposed, it has been widely used in content-based image retrieval and classification. In the MIL setting, the samples are bags, which are made of instances. In positive bags, at least one instance is positive. Whereas negative bags have all negative instances. This makes it different from the supervised...
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