PERSON RE-IDENTIFICATION BASED ON FEATURE LOCATION AND FUSION

Person Re-identification Based on Feature Location and Fusion

Pedestrian appearance attributes are important semantic information distinguishing pedestrian differences.Pedestrian attribute recognition plays a vital role in intelligent video surveillance,which can help us quickly screen and retrieve target pedestrians.In the task of person re-identification,we can use attribute Server information to obtain fin

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INTERACTIVE CHANGE DETECTION USING HIGH RESOLUTION REMOTE SENSING IMAGES BASED ON ACTIVE LEARNING WITH GAUSSIAN PROCESSES

Although there have been many studies for change detection, the effective and efficient use of high resolution remote sensing images is still a problem.Conventional supervised methods need lots of annotations to classify the land cover categories and detect their changes.Besides, the training set in supervised methods often has lots of redundant sa

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