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Appearance-based person re-identification namely matching the same pedestrian across disjoint camera views, is an increasingly research spot. Researchers have proposed many complicated appearance descriptions. The role of basic visual features is seldom investigated, e.g. color, texture features, which are the basis of descriptions. By analyzing the characteristics of data environments, we can get...
Matching individuals within a group of spatially nonoverlapping surveillance cameras, also known as person reidentification, has recently attracted a lot of research interest. Current methods mainly focus on feature representation or distance measure, which directly compare person images captured by different cameras. However, it is still a problem because of various surveillance conditions; for example,...
Matching individuals across a group of spatially non-overlapping surveillance cameras, also known as person re-identification, has recently attracted a lot of research interests. Current methods mainly focus on feature extraction or metric learning, which directly compare person images captured by different cameras, but seldom consider device differences caused by various surveillance conditions,...
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