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Multi-shot Human Re-identification via Gabor-LBP Based Video Covariance Descriptor

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Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016) (HIS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 552))

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Abstract

Multi-shot human re-identification is a major challenge because of the large variations in a human’s appearance caused by different types of noise such as occlusion, viewpoint and illumination variations. In this paper, we presented a novel Gabor-LBP based video covariance descriptor, called GL-VC descriptor, which considers image sequences to extract appearance features, captures moving regions of interest and find the correlation between video frames. Therefore, it implicitly encodes the described human motion by the integration of temporal information and decreases the effect of occlusion. To deal with the changes of view points and illumination, the Local binary pattern (LBP) operators and Gabor bank were integrated into the spatio-temporal covariance features. We evaluated our GL-VC approach on the publicly available CAVIAR4REID multi-shot dataset and demonstrated superior performance in comparison with the current state-of-the-art.

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Acknowledgements

This ‘Mobidoc’ research was achieved through the partnership agreement ‘Programme d’Appui au Système de Recherche et d’Innovation’ (PASRI) between the Government of the Tunisian Republic (ANPR) and the European Union.

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Authors and Affiliations

  1. CES Research Unit, National Engineers School of Sfax, Sfax University, Sfax, Tunisia

    Bassem Hadjkacem, Walid Ayedi & Mohamed Abid

Authors
  1. Bassem Hadjkacem
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  2. Walid Ayedi
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  3. Mohamed Abid
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Corresponding author

Correspondence to Bassem Hadjkacem .

Editor information

Editors and Affiliations

  1. (MIR Labs), Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. ENIS, University of Sfax, Sfax, Tunisia

    Adel M. Alimi

  4. Technopolis Rabat-Shore Rocade, International University of Rabat, Sala el Jadida, Morocco

    Ghita Mezzour

  5. Inst Applied Dept of Electronics, Taffala, University of Sousse, Sousse, Tunisia

    Nizar Rokbani

  6. Fakulti Teknologi Maklumat dan Komunikas, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia

    Azah Kamilah Muda

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Hadjkacem, B., Ayedi, W., Abid, M. (2017). Multi-shot Human Re-identification via Gabor-LBP Based Video Covariance Descriptor. In: Abraham, A., Haqiq, A., Alimi, A., Mezzour, G., Rokbani, N., Muda, A. (eds) Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016). HIS 2016. Advances in Intelligent Systems and Computing, vol 552. Springer, Cham. https://doi.org/10.1007/978-3-319-52941-7_20

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  • DOI: https://doi.org/10.1007/978-3-319-52941-7_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52940-0

  • Online ISBN: 978-3-319-52941-7

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