Multi-graph feature level fusion for person re-identification

Volume: 259, Pages: 39 - 45
Published: Oct 1, 2017
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
Volume
259
Pages
39 - 45
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.