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Multi-view Person Re-identification in a Fisheye Camera Network with Different Viewing Directions

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Gregor Blott
  • Jie Yu
  • Christian Heipke

External Research Organisations

  • Robert Bosch GmbH

Details

Translated title of the contributionPersonenwiedererkennung in einem Fischaugenkameranetzwerk mit unterschiedlichen Blickrichtungen
Original languageEnglish
Pages (from-to)263-274
Number of pages12
JournalPFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science
Volume87
Issue number5-6
Publication statusPublished - 28 Oct 2019

Abstract

Person re-identification is a crucial component for multi-camera networks in different real-world applications such as surveillance, automation, and business analytics. Despite considerable recent progress, the performance in practice is still not satisfactory due to the high intra-person variation and significant complexity of the task, including differences in scale, viewing direction, and illumination. We propose a novel approach for person re-identification, which exploits multi-view information of a fisheye camera looking downwards from the ceiling. To handle this highly variable multi-view information, we build a generic pipeline for processing fisheye camera imagery based on geometric sensor modelling and deep learning. The proposed approach is evaluated on a re-mapped version of the publicly available Market-1501 dataset, and, in addition, on a new fisheye dataset. Significant improvements are shown in our experiments: our approach achieves more than 97% rank#1 recognition rate if applied on the re-mapped Market-1501 dataset; on the new fisheye dataset we find an improvement of about 12% compared to random-view fusion.

Keywords

    Deep learning, Fisheye, Multi-view, Person re-identification

ASJC Scopus subject areas

Cite this

Multi-view Person Re-identification in a Fisheye Camera Network with Different Viewing Directions. / Blott, Gregor; Yu, Jie; Heipke, Christian.
In: PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, Vol. 87, No. 5-6, 28.10.2019, p. 263-274.

Research output: Contribution to journalArticleResearchpeer review

Blott, G, Yu, J & Heipke, C 2019, 'Multi-view Person Re-identification in a Fisheye Camera Network with Different Viewing Directions', PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, vol. 87, no. 5-6, pp. 263-274. https://doi.org/10.1007/s41064-019-00083-y
Blott, G., Yu, J., & Heipke, C. (2019). Multi-view Person Re-identification in a Fisheye Camera Network with Different Viewing Directions. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 87(5-6), 263-274. https://doi.org/10.1007/s41064-019-00083-y
Blott G, Yu J, Heipke C. Multi-view Person Re-identification in a Fisheye Camera Network with Different Viewing Directions. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 2019 Oct 28;87(5-6):263-274. doi: 10.1007/s41064-019-00083-y
Blott, Gregor ; Yu, Jie ; Heipke, Christian. / Multi-view Person Re-identification in a Fisheye Camera Network with Different Viewing Directions. In: PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 2019 ; Vol. 87, No. 5-6. pp. 263-274.
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