Person Re-identification Using Region Covariance in a Multi-feature Approach

  • Volker Eiselein
  • Gleb Sternharz
  • Tobias Senst
  • Ivo Keller
  • Thomas Sikora
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8815)

Abstract

Person re-identification is an important requirement for modern video surveillance systems and relevant for human tracking, especially over camera networks. Many different approaches have been proposed but a robust identification under real-life conditions still remains hard. In this paper we investigate the fusion of multiple person descriptors in order to increase the performance using complementary feature vectors. As an additional improvement to state-of-the-art region covariance descriptors, an extension of the comparison metric is proposed which increases the robustness and performance of the system in cases of rank deficiency. The proposed system is evaluated on the well-known benchmarks CAVIAR4REID, VIPeR, ETHZ and PRID 2011 and shows significant improvements over existing re-identification algorithms.

Keywords

Person re-identification Region covariance Surf Information fusion Color Histogram Covariance metric Generalized Eigenvalues 

References

  1. 1.
    Hamdoun, O., Moutarde, F., Stanciulescu, B., Steux, B.: Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences. In: 2nd ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2008), p. 5 (2008), ISBN: 9781424426652Google Scholar
  2. 2.
    Khedher, M.I., El Yacoubi, M.A., Dorizzi, B.: Multi-shot SURF-based person re-identification via sparse representation. In: 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 159–164 (2013)Google Scholar
  3. 3.
    Bay, H., Ess, A., Tuytelaars, T., van Gool, L.: Speeded-Up Robust Features (SURF). Computer Vision and Image Understanding 110(3), 346–359 (2008), http://dx.doi.org/10.1016/j.cviu.2007.09.014, doi: 10.1016/j.cviu.2007.09.014, ISSN: 10773142
  4. 4.
    Swain, M.J., Ballard, D.H.: Color indexing. International Journal of Computer Vision 7, 11–32 (1991)CrossRefGoogle Scholar
  5. 5.
    Tuzel, O., Porikli, F., Meer, P.: Region covariance: a fast descriptor for detection and classification. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 589–600. Springer, Heidelberg (2006). http://link.springer.com/chapter/10.1007/11744047_45 CrossRefGoogle Scholar
  6. 6.
    Hirzer, M., Roth, P.M., Bischof, H.: Person Re-identification by Efficient Impostor-Based Metric Learning. In: 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance (AVSS), pp. 203–208 (2012)Google Scholar
  7. 7.
    Förstner, W., Moonen, B.: A Metric for Covariance Matrices (1999)Google Scholar
  8. 8.
    Tuzel, O., Porikli, F., Meer, P.: Human Detection via Classification on Riemannian Manifolds. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2007, pp. 1–8 (2007), ISSN: 1063–6919Google Scholar
  9. 9.
    Pennec, X., Fillard, P., Ayache, N.: A Riemannian Framework for Tensor Computing. International Journal of Computer Vision 66, 41–66 (2006)CrossRefMATHGoogle Scholar
  10. 10.
    Bak, S., Corvee, E., Bremond, F., Thonnat, M.: Person Re-identification Using Spatial Covariance Regions of Human Body Parts. In: 7th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2010, Boston, USA (August 2010)Google Scholar
  11. 11.
    Schwartz, W.R., Davis, L.S.: Learning Discriminative Appearance-Based Models Using Partial Least Squares. In: 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing, pp. 322–329 (Oktober 2009), http://dx.doi.org/10.1109/SIBGRAPI.2009.42
  12. 12.
    Hirzer, M., Beleznai, C., Roth, P.M., Bischof, H.: Person re-identification by descriptive and discriminative classification. In: Heyden, A., Kahl, F. (eds.) SCIA 2011. LNCS, vol. 6688, pp. 91–102. Springer, Heidelberg (2011). http://link.springer.com/chapter/10.1007/978-3-642-21227-7_9 CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Volker Eiselein
    • 1
  • Gleb Sternharz
    • 1
  • Tobias Senst
    • 1
  • Ivo Keller
    • 1
  • Thomas Sikora
    • 1
  1. 1.Communication Systems GroupTechnische Universität BerlinBerlinGermany

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