14 May 2017 A visual surveillance system for person re-identification
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Proceedings Volume 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017; 103380D (2017) https://doi.org/10.1117/12.2266509
Event: The International Conference on Quality Control by Artificial Vision 2017, 2017, Tokyo, Japan
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.
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Hazem El-Alfy, Daigo Muramatsu, Yuuichi Teranishi, Nozomu Nishinaga, Yasushi Makihara, Yasushi Yagi, "A visual surveillance system for person re-identification", Proc. SPIE 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017, 103380D (14 May 2017); doi: 10.1117/12.2266509; https://doi.org/10.1117/12.2266509
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