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Proceedings Paper

A visual surveillance system for person re-identification
Author(s): Hazem El-Alfy; Daigo Muramatsu; Yuuichi Teranishi; Nozomu Nishinaga; Yasushi Makihara; Yasushi Yagi
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Paper Abstract

We attempt the problem of autonomous surveillance for person re-identification. This is an active research area, where most recent work focuses on the open challenges of re-identification, independently of prerequisites of detection and tracking. In this paper, we are interested in designing a complete surveillance system, joining all the pieces of the puzzle together. We start by collecting our own dataset from multiple cameras. Then, we automate the process of detection and tracking of human subjects in the scenes, followed by performing the re-identification task. We evaluate the recognition performance of our system, report its strengths, discuss open challenges and suggest ways to address them.

Paper Details

Date Published: 14 May 2017
PDF: 7 pages
Proc. SPIE 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017, 103380D (14 May 2017); doi: 10.1117/12.2266509
Show Author Affiliations
Hazem El-Alfy, Osaka Univ. (Japan)
National Institute of Information and Communications Technology (Japan)
Alexandria Univ. (Egypt)
Daigo Muramatsu, Osaka Univ. (Japan)
National Institute of Information and Communications Technology (Japan)
Yuuichi Teranishi, National Institute of Information and Communications Technology (Japan)
Nozomu Nishinaga, National Institute of Information and Communications Technology (Japan)
Yasushi Makihara, Osaka Univ. (Japan)
Yasushi Yagi, Osaka Univ. (Japan)


Published in SPIE Proceedings Vol. 10338:
Thirteenth International Conference on Quality Control by Artificial Vision 2017
Hajime Nagahara; Kazunori Umeda; Atsushi Yamashita, Editor(s)

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