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Hierarchical Gaussian Descriptors with Application to Person Re-Identification
[article]
2017
arXiv
pre-print
Describing the color and textural information of a person image is one of the most crucial aspects of person re-identification (re-id). In this paper, we present novel meta-descriptors based on a hierarchical distribution of pixel features. Although hierarchical covariance descriptors have been successfully applied to image classification, the mean information of pixel features, which is absent from the covariance, tends to be the major discriminative information for person re-id. To solve this
arXiv:1706.04318v1
fatcat:47uokyyluzc6vlly2cyyhm2uau