Density-adaptive kernel based efficient reranking approaches for person reidentification
Abstract
Person reidentification (ReID) refers to the task of verifying the identity of a pedestrian observed from nonoverlapping views in a surveillance camera network. It has recently been validated that reranking can achieve remarkable performance improvements in person ReID systems. However, current reranking approaches either require feedback from users or suffer from burdensome computational costs. In this paper, we propose to exploit a...
Paper Details
Title
Density-adaptive kernel based efficient reranking approaches for person reidentification
Published Date
Oct 1, 2020
Journal
Volume
411
Pages
91 - 111
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