Multi-graph feature level fusion for person re-identification
Abstract
Person re-identification refers to the task of matching people in non-overlapping cameras. As the concerns for public safety keep rising, the ability to accurately identify a subject in surveillance cameras is a highly demanded technique. In practice, person re-identification is challenging due to the substantial appearance shift caused by view change. Many factors, such as illumination, pose, and image quality, can affect the matching accuracy....
Paper Details
Title
Multi-graph feature level fusion for person re-identification
Published Date
Oct 1, 2017
Journal
Volume
259
Pages
39 - 45
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