Attribute Discovery for Person Re-Identification

  • Takayuki UmedaEmail author
  • Yongqing Sun
  • Go Irie
  • Kyoko Sudo
  • Tetsuya Kinebuchi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9517)


An incremental attribute discovery method for person re-identification is proposed in this paper. Recent studies have shown the effectiveness of the attribute-based approach. Unfortunately, the approach has difficulty in discriminating people who are similar in terms of the pre-defined semantic attributes. To solve this problem, we automatically discover and learn new attributes that permit successful discrimination through a pair-wise learning process. We evaluate our method on two benchmark datasets and demonstrate that it significantly improves the performance of the person re-identification task.


Person re-identification Attribute discovery Incremental leaning 


  1. 1.
    Prosser, B., Zheng, W.S., Gong, S., Xiang, T., Mary, Q.: Person re-identification by support vector ranking. In: BMVC, vol. 2, p. 6 (2010)Google Scholar
  2. 2.
    Gray, D., Tao, H.: Viewpoint invariant pedestrian recognition with an ensemble of localized features. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 262–275. Springer, Heidelberg (2008) CrossRefGoogle Scholar
  3. 3.
    Hospedales, T.M., Layne, R., Gong, S.: Attributes-based re-identification. In: Person Re-Identification (2013)Google Scholar
  4. 4.
    Nguyen, N.-B., Nguyen, V.-H., Duc, T.N., Le, D.-D., Duong, D.A.: AttRel: an approach to person re-identification by exploiting attribute relationships. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds.) MMM 2015, Part II. LNCS, vol. 8936, pp. 50–60. Springer, Heidelberg (2015) Google Scholar
  5. 5.
    Layne, R., Hospedales, T.M., Gong, S., Mary, Q.: Person re-identification by attributes. In: BMVC (2012)Google Scholar
  6. 6.
    Das, A., Panda, R., Roy-Chowdhury, A.: Active image pair selection for continuous person re-identification. In: ICIP (2015)Google Scholar
  7. 7.
    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) CrossRefGoogle Scholar
  8. 8.
    Cancela, B., Hospedales, T.M., Gong, S.: Open-world person re-identification by multi-label assignment inference. In: BMVC (2014)Google Scholar
  9. 9.
    Lampert, C.H., Nickisch, H., Harmeling, S.: Learning to detect unseen object classes by between-class attribute transfer. In: CVPR, pp. 951–958 (2009)Google Scholar
  10. 10.
    Farhadi, A., Endres, I., Hoiem, D., Forsyth, D.: Describing objects by their attributes. In: CVPR, pp. 1778–1785 (2009)Google Scholar
  11. 11.
    Patterson, G., Hays, J.: Sun attribute database: discovering, annotating, and recognizing scene attributes. In: CVPR, pp. 2751–2758 (2012)Google Scholar
  12. 12.
    Bergamo, A., Torresani, L., Fitzgibbon, A.W.: Picodes: learning a compact code for novel-category recognition. In: NIPS, pp. 2088–2096 (2011)Google Scholar
  13. 13.
    Rastegari, M., Farhadi, A., Forsyth, D.: Attribute discovery via predictable discriminative binary codes. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part VI. LNCS, vol. 7577, pp. 876–889. Springer, Heidelberg (2012) CrossRefGoogle Scholar
  14. 14.
    Parikh, D.: Grauman, K.: Interactively building a discriminiative vocabulary of nameable attributes. In: CVPR, pp. 1681–1688 (2011)Google Scholar
  15. 15.
    Berg, T.L., Berg, A.C., Shih, J.: Automatic attribute discovery and characterization from noisy Web data. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 663–676. Springer, Heidelberg (2010) CrossRefGoogle Scholar
  16. 16.
    Yu, F.X., Cao, L, Feris, R.S., Smith, J.R., Chang, S.F.: Designing category-level attributes for discriminative visual recognition. In: CVPR, pp. 771–778 (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Takayuki Umeda
    • 1
    Email author
  • Yongqing Sun
    • 1
  • Go Irie
    • 1
  • Kyoko Sudo
    • 1
  • Tetsuya Kinebuchi
    • 1
  1. 1.NTTYokosukaJapan

Personalised recommendations