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2019 | OriginalPaper | Chapter

View-Aware Person Re-identification

Authors : Gregor Blott, Jie Yu, Christian Heipke

Published in: Pattern Recognition

Publisher: Springer International Publishing

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Abstract

Appearance-based person re-identification (PRID) is currently an active and challenging research topic. Recently proposed approaches have mostly dealt with low- and middle-level processing of images. Furthermore, there is very limited research that has focused on view information. View variation limits the performance of most approaches because a person’s appearance from one view can be completely different from that of another view, which makes the re-identification challenging. In this work, we study the influence of the view on PRID and propose several fusion strategies that utilize multi-view information to handle the PRID problem. We perform experiments on a re-mapped version of Market-1501 dataset and an internal dataset. Our proposed multi-view strategy increases the recognition rate at rank-one by a large margin in comparison with that obtained via random view matching or multi-shot.

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Title: View-Aware Person Re-identification
Authors: Gregor Blott
Jie Yu
Christian Heipke
Publisher: Springer International Publishing
Book: Pattern Recognition
Print ISBN: 978-3-030-12938-5

Electronic ISBN: 978-3-030-12939-2

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-12939-2_4

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