Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature

Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature

Video-based person re-identification is an important task with the challenges of lighting variation, low-resolution images, background clutter, occlusion, and human appearance similarity in the multi-camera visual sensor networks. In this paper, we propose a video-based person re-identification meth...

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Bibliographic Details
Main Authors: Rui Sun, Qiheng Huang, Miaomiao Xia, Jun Zhang
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
person re-identification
end-to-end architecture
appearance-temporal features
Siamese network
pivotal frames
Online Access:https://www.mdpi.com/1424-8220/18/11/3669

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