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A unified framework for automated person re-identification

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In this paper, we focus on a fully automatic person ReID system which contains only three first steps of the full video analysis system that are person detection, tracking and re-identification. The purpose of human detection is to create a bounding box contain an object in a given image while tracking methods aim at connecting the detected bounding boxes of the same person. Finally, person ReID is to associate multiple images of the same person in different camera views. Although studying on person ReID has achieved some important milestones [2], this problem still has to cope with various challenges, such as the variations in illuminations, poses, view-points, etc. |

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