Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification

Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification

Existing projection-based person re-identification methods usually suffer from long time training, high dimension of projection matrix, and low matching rate. In addition, the intra-class instances may be much less than the inter-class instances when a training data set is built. To solve these prob...

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Bibliographic Details
Main Authors: Tongguang Ni, Zongyuan Ding, Fuhua Chen, Hongyuan Wang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Person re-identification
distance centralization
metric learning
projection vectors
conjugate gradient
Online Access:https://ieeexplore.ieee.org/document/8263222/

Internet

https://ieeexplore.ieee.org/document/8263222/

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