Person re-identification, which is to match people across areas covered by multiple non-overlapping surveillance cameras, has drawn great research interests ...
Abstract. Person re-identification, which is to match people across ar- eas covered by multiple non-overlapping surveillance cameras, has drawn.
Some of them formulate re-ID as a subspace learning problem by learning a low-dimensional projection. Some others directly learn a Mahalanobis distance function.
Mar 28, 2013 · It has been reported that KISS metric learning has obtained the state of the art performance for person re-identification on the VIPeR dataset .
Person re-identification (PRID) refers to a technology of matching person across non-overlapping camera views. Metric learning is one of the most commonly ...
Person re-identification is a challenging research issue in computer vision and has a broad application prospect in intelligent security.
Nov 5, 2024 · Person re-identification is a challenging research issue in computer vision and has a broad application prospect in intelligent security.
We split a metric for person re-identification into tex- ture and color components. The metric is then learned on the target camera pair by a novel one-shot ...
In short, person re-identification aims to find an individual again that has been observed over different cameras. It has been reported that KISS metric ...
Apr 10, 2019 · This paper presents a logistic discriminant metric learning method for this challenging problem. Different with most existing metric learning ...
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