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Bimodal Person Re-identification in Multi-camera System

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10617))

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Abstract

This paper introduces a new method to enhance person re-identification by combining person appearance and face modalities in a multi-camera system. The use of face modality requires a preprocessing step of face pose estimation. Therefore, we proposed a new method for face pose estimation in low-resolution context. As for the extraction of person appearance signature, it was performed on discriminant stripes selected automatically. We evaluated the proposed pose estimation method as well as the process of re-identification based on appearance and face modalities on the challenging VIPeR database. The experimental results show that the combination of person appearance and face modalities leads to promising results.

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Author information

Authors and Affiliations

  1. MIRACL-ENET’COM, University of Sfax, 3018, Sfax, Tunisia

    Hazar Mliki

  2. MIRACL-FSS, University of Sfax, 3018, Sfax, Tunisia

    Mariem Naffeti & Emna Fendri

Authors
  1. Hazar Mliki
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  2. Mariem Naffeti
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  3. Emna Fendri
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Corresponding author

Correspondence to Hazar Mliki .

Editor information

Editors and Affiliations

  1. DGA, Paris, France

    Jacques Blanc-Talon

  2. University of Antwerp, Antwerp, Belgium

    Rudi Penne

  3. Ghent University - imec, Ghent, Belgium

    Wilfried Philips

  4. CSIRO Data 61, Canberra, Aust Capital Terr, Australia

    Dan Popescu

  5. University of Antwerp, Wilrijk, Belgium

    Paul Scheunders

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Mliki, H., Naffeti, M., Fendri, E. (2017). Bimodal Person Re-identification in Multi-camera System. In: Blanc-Talon, J., Penne, R., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2017. Lecture Notes in Computer Science(), vol 10617. Springer, Cham. https://doi.org/10.1007/978-3-319-70353-4_47

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  • DOI: https://doi.org/10.1007/978-3-319-70353-4_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70352-7

  • Online ISBN: 978-3-319-70353-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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