Dec 16, 2021 · We propose a joint distance measure based approach, which learns a Mahalanobis distance and a Euclidean distance with a novel feature jointly.

Jan 1, 2021 · We propose a joint distance measure based approach, which learns a Mahalanobis distance and a Euclidean distance with a novel feature jointly.

In this paper, the Mahalanobis distance and. Euclidean distance are combined to learn a multi- distance metric model for person re-identification. The multi- ...

In this work, multiple distance metrics are learned simultaneously from different original feature spaces under the guidance of the same privileged knowledge, ...

In this paper, by explicitly modeling discriminative metric learning into the dictionary learning procedure, we propose to formulate robust feature ...

In this work, we have proposed a joint semantic embedding and metric learning for automatically re-identifying persons across non-overlapping camera views.

Oct 17, 2023 · In person re-identification, a distance metric is used to calculate the distance or similarity of different image features after the features ...

Person re-identification is a challenging task because of the high intra-class variance induced by the unrestricted nuisance factors of variations such as pose, ...

Framework of multi-task joint learning [44]. Person re-identification based on metric learning: a survey. Article. Full-text available. May 2021.

Apr 29, 2020 · The goal of person re-identification is to find the same person from the videos or images captured from different cameras [1], as in Figure 1.